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Python Complete Masterclass for Beginners - Learn Python including Excel/Database/Test/Network Automation, Data Analysis, Web Development, REST APIs, GraphQL & more

✔ Probably the most PRACTICAL Python 3 course on Udemy

✔ I am answering all your questions, usually in less than 24 hours

✔ No slides, no boring theory, no rambling, no chitchat. Just coding

✔ Notebooks, code samples and 250+ practice items - quizzes & exercises included

✔ Downloadable Python 3 cheat sheet and 200+ pages PDF e-book are included

✔ Learn real-life skills: Excel / Database / Data Analysis / Network Automation & more

✔ Private Discord community for instructor support and learning as a team

✔ Udemy Bestselling Instructor with thousands of ⭐⭐⭐⭐⭐ reviews

✔ Over 100.000 satisfied students across several e-learning platforms

✔ Certificate of Completion is included

Note! This is the flagship course in a course trilogy which also includes my "Python - 250 Python Exercises" and "Python - 250 Python Quizzes" courses for a complete and comprehensive learning experience.

"This Python course is excellent!! I have taken a few Python courses previously from Udemy, this course is the best so far. The lectures are  kept short but contain a lot of info on the topic. I really like the  short quizzes to make sure you listened to the important points made in  the lectures. The best feature is the interactive coding to give you  immediate hands-on with the material to ensure you understood what you  thought you understood. Great Course!" by Richard Mata

✔ What others have to say about my courses?

"What an incredible value and learning experience!" by Sean A.

"Excellent material. Kudos to a great instructor with a vast level of creativity." by Anthony W.

"The instructor is an excellent professional, skillful and engaging." by Georgios T.

"I can say this man is going on smoothly and perfectly, explaining in the most empirical way." by Kolapo A.

✔ Why would you take this course?

Do you want to become a Python Developer without having to spend a lot of money on books and boring theoretical courses?

Do you often hear things like "You should learn Python!" or "Just write a Python script for that!" or even "Python is so easy to learn!"? Python here, Python there, Python everywhere?

Are you looking to apply your Python knowledge to specialize yourself in various areas of expertise, such as Databases, Web Development, Network Automation, Data Analysis and Visualization, Unit Testing etc.?

"As a Python beginner, I find this course is concise, easy to understand  and structured. Also, Mihai responses to my question during the course  promptly. I highly recommend this training course." by Johnny Wang

✔ What's this course all about?

Python 3 programming course aimed at anyone having little or no experience in coding and a great desire to start learning Python from scratch. This hands-on training takes you from "Hello World!" to advanced Python topics in just a few hours.

First, you will learn and practice every Python 3 key concept, which is explained in one or more video lectures, usually followed by a short quiz and several coding exercises.

Each video is filled with relevant examples, created in a learn-by-doing fashion and the notebooks, quizzes and coding exercises will help you consolidate the main ideas behind each Python 3 topic.

After laying the foundation, you will start exploring some advanced Python 3 topics, thus quickly growing your skills from Zero to Beginner to Intermediate to Advanced to Superhero level.

Next, we will build a scientific calculator in Python 3, having a basic user menu and both simple and advanced math operations available: addition, subtraction, multiplication, division, modulo, raising to a power, square root, logarithm, as well as trigonometric functions like sin, cos and tan.

Finally, you will gain some real-life skills that you can use at most programming and IT-related jobs: Excel Automation, Database Automation, Data Analysis Automation, Test Automation, Web Scraping, Web App Development and Network Automation, among others, using Python 3.

You will also be able to download printable cheat sheets to have every Python 3 concept at hand whenever you need it, as well as a 200+ pages Python 3 e-book that can help you continue studying whenever you don't feel like watching videos or solving coding exercises. What more can you ask for?

"I am really enjoying this course thus far. 10-12 minutes into the course  and I've already written my first line of Python code, which I think  it's pretty cool, since I've never programmed before. I'm planning to finish this course and apply for a junior programmer, part-time job. Thanks for this training!" by Andrei Vasilescu

✔ What are the steps you're going to take from Zero to Superhero Level skills in Python?

Introduction - What's This Course All About?

Zero Level: Python 3 - Basics

Beginner Level: Python 3 - Strings

Beginner Level: Python 3 - Numbers and Booleans

Beginner Level: Python 3 - Lists

Beginner Level: Python 3 - Sets

Beginner Level: Python 3 - Tuples

Beginner Level: Python 3 - Ranges

Beginner Level: Python 3 - Dictionaries

Intermediate Level: Python 3 - Conditionals, Loops and Exceptions

Intermediate Level: Python 3 - Handling Errors and Exceptions in Python

Intermediate Level: Python 3 - Functions and Modules

Intermediate Level: Python 3 - File Operations

Advanced Level: Python 3 - Regular Expressions

Advanced Level: Python 3 - Classes and Objects

Advanced Level: Python 3 - Other Advanced Concepts

General Recap: Python 3 - Cheat Sheet and 200+ Pages E-Book

Project: Python 3 - Build a Scientific Calculator with Python 3

Superhero Level: Automate Excel Tasks with Python 3

Superhero Level: Automate Database Tasks with Python 3

Superhero Level: Automate Network Tasks with Python 3

Superhero Level: Automate Data Analysis Tasks with Python 3

Superhero Level: Data Visualization with Bokeh and Python 3

Superhero Level: Automate Unit Testing with Python 3

Superhero Level: Automate Web Scraping with Python 3

Superhero Level: Diving into Object-Oriented Programming [2021 Update]

Superhero Level: Build Your First Web Project with Django & Python [2021 Update]

Superhero Level: Build an Expense Tracker REST API From Scratch [2021 Update]

Superhero Level: Build a GraphQL API with Django and Graphene [2021 Update]

Superhero Level: Advanced RegEx - Extension Notations and Assertions [2021 Update]

[BONUS] Useful Python Modules and Tools

[BONUS] 10 Ways to Earn Money and Build a Portfolio with Your Python Skills

Final Section

"Very thorough course. Includes plenty of details and examples without being boring. Explanations are given at a very practical level." by Gary Scarr

⚠ Important information before you enroll!

Don't forget you are covered by a 30-day money back guarantee, full refund, no questions asked.

Once enrolled, you have unlimited, 24/7, lifetime access to the course.

You will have instant and free access to any updates I'll add to the course.

You will benefit from my full support regarding any question you might have and your course colleagues will help you, as well.

Check out the promo video at the top of this page and some of the free preview videos before making any decision!

"This is a real nice course and very unique compared to other courses available on Udemy. The unique thing about this is automation projects. The  best way to learn language and concepts is by applying them to  practical scenarios and that is what this course is all about." by Vinay Gupta

✔ I strongly encourage you to learn Python, an amazingly beginner-friendly programming language and take your job and career to the next level!

✔ Let's get started! Enroll now and I'll see you in the first lecture!

Who this course is for:

Anyone who wants to make the right choice when starting to learn programming.

Test Engineers, Test Automation Engineers, Quality Assurance Engineers and Analysts.

Network Engineers, Database Administrators, System Engineers, IT Engineers, Data Entry Operators.

Any kind of IT geeks who wish to learn Python 3 programming from scratch.

This course is for beginners only and should not be attended by senior developers.

Machine Learning in R & Predictive Models |Theory & Practice, Supervised & unsupervised machine learning in R, clustering in R, predictive models in R by many labs, understand theory

Machine Learning in R & Predictive Models |Theory & Practice

My course will be your complete guide to the theory and applications of supervised & unsupervised machine learning and predictive modeling using the R-programming language.

Unlike other courses, it offers NOT ONLY the guided demonstrations of the R-scripts but also covers theoretical background that will allow you to FULLY UNDERSTAND & APPLY MACHINE LEARNING & PREDICTIVE MODELS (K-means, Random Forest, SVM, logistic regression, etc) in R (many R packages incl. caret package will be covered).

This course also covers all the main aspects of practical and highly applied data science related to Machine Learning (classification & regressions) and unsupervised clustering techniques. Thus, if you take this course, you will save lots of time & money on other expensive materials in the R based Data Science and Machine Learning domain.

In this age of big data, companies across the globe use R to analyze big volumes of data for business and research. By becoming proficient in supervised & unsupervised machine learning and predictive modeling in R, you can give your company a competitive edge and boost your career to the next level

THIS COURSE HAS 8 SECTIONS COVERING EVERY ASPECT OF MACHINE LEARNING: BOTH THEORY & PRACTISE

Fully understand the basics of Machine Learning, Cluster Analysis & Prediction Models from theory to practice

Harness applications of supervised machine learning (classification and regressions) and Unsupervised machine learning (cluster analysis) in R

Learn how to apply correctly prediction models and test them in R

Complete programming & data science tasks in an independent project on Supervised Machine Learning in R

Implement Unsupervised Clustering Techniques (k-means Clustering and Hierarchical Clustering etc)

Learn the basics of R-programming

Get a copy of all scripts used in the course

and MORE

NO PRIOR R OR STATISTICS/MACHINE LEARNING / R KNOWLEDGE REQUIRED:

You’ll start by absorbing the most valuable R Machine Learning, Predictive Modelling & Data Science basics, and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.

My course will help you implement the methods using real data obtained from different sources. Thus, after completing my Machine Learning course in R, you’ll easily use different data streams and data science packages to work with real data in R.

In case it is your first encounter with R, don’t worry, my course a full introduction to the R & R-programming in this course.

This course is different from other training resources. Each lecture seeks to enhance your Machine Learning and modeling skills in a demonstrable and easy-to-follow manner and provide you with practically implementable solutions. You’ll be able to start analyzing different streams of data for your projects and gain appreciation from your future employers with your improved machine learning skills and knowledge of the cutting edge data science methods.

The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning, and R in their field.

One important part of the course is the practical exercises. You will be given some precise instructions and datasets to run Machine Learning algorithms using the R tools.

JOIN MY COURSE NOW!

Who this course is for:

The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning and R in their field.

Everyone who would like to learn Data Science Applications In The R & R Studio Environment

Everyone who would like to learn theory and implementation of Unsupervised Learning On Real-World Data

Artificial Intelligence in Digital Marketing (2020 Edition) - Learn Highly Futuristic Digital Marketing Technologies with Artificial Intelligence in 2020

This game-changing course in 2021 will cover artificial intelligence tools in content creation, curation, augmented reality, and digital marketing and will take you on a glimpse into the future. We will also look at influencer marketing tools, content trends and a bit of competitor analysis through the use of BuzzSumo.

Why learn this amazing artificial intelligence course and how is this a differentiator for content creators?

This course can change your life if you are a content expert. Because, I will provide you with hands-on experience on creating tons and tons of articles for your blog for inbound marketing using an Artificial Intelligence content tool and you don’t even have to write the content yourself - ever again. This will save you a lot of time and effort and you don’t have to employ a content team ever again. Artificial Intelligence is the key to unlock your success path. Also, we will look at content curation tools to help you create a mark in this competitive brandscape.

In augmented reality, we will show you how to use Zappar, the popular tool, and create a great experience with zap codes and how they come to life while you scan them with your mobile phone.

How Artificial Intelligence-based Digital Marketing Revolution is on the rise?

We are right at the beginning of the AI revolution but we already have a good sense of how artificial intelligence is going to change digital marketing's face. Artificial Intelligence usage in digital marketing will change the entire world with marketers embracing this futuristic tech.

If you're not yet absolutely on the bandwagon or just start plunging your toes into the ice, you're not the only one. The way consumers respond to marketing messages and interact with them is changing. Traditional methods of marketing such as media advertising and direct mail are no longer as successful as they were once.

One reason for this is that today's consumers expect marketers to adapt their demographics or preferences to their messages. Artificial Intelligence is starting to go hand in hand with digital marketing. AI transforms digital strategy with the ability to collect data, interpret it, apply it, and then learn from it. The ability to use it to improve digital marketing strategies and valuable customer insights for companies will be the same as it continues to advance. Excellent customer service is the also most important aspect of an effective digital marketing campaign that this too can be automated by Google Duplex kind of tools that are created in the market.

Why this secretive course in "Artificial Intelligence in Digital Marketing" - the best one in the industry?

Artificial intelligence keeps growing and improving and will not slow down for a while. Implementing AI into your digital marketing strategy will help customers experience better and provide your business with the insights it needs to succeed.

What’s more? The ultimate secret of the course is that we will also tell you about a tool that you can use for unlimited lead-generation using another secretive artificial intelligence (AI) technology. There is often a disconnection between sales and marketing departments in many businesses. This is typically due to a lack of interaction or shared attention. Marketers may give sales a lead they believe to be ideal, but sales are not. It creates tension between two teams to work together, and AI is the perfect way to bring them together. AI can point out positive sales leads, which will also satisfy marketing, and ensure that potential customers are targeted at the right platforms. You don't want the company that sells accounting software to be advertised by someone. All teams will need to come together and agree on an optimal customer profile, a profile that fits marketing and sales, to better use AI in the B2B lead generation.

The profile can consist of multiple variables, such as sector, company level, and how many employees they have. The standards are almost infinite. The AI will use the profile to measure current and potential leads against a selection of pre-defined behavioral criteria. Without us providing all this, the AI will fumble around, essentially throwing darts at a board while blindfolded. The AI can predict future patterns for lead generation, possible spending, and what campaigns or services will draw their interest from this. Ok, having given all this information that focuses on "Artificial intelligence in digital marketing", the question is "Are you ready to get into action and embrace the power to leverage artificial intelligence in digital marketing?”. 

If yes, plunge into action right away by signing up NOW. Remember, using Artificial Intelligence is the only way you can growth-hack your way to success ahead of the rest of the crowd who are currently into using only traditional digital marketing methodologies and tools. Your successful Artificial Intelligence career is waiting..Don't miss the bus. This is your golden ticket to learn AI (Artificial Intelligence) in Digital Marketing, passionate ones.

Who this course is for:

Newbies and Advanced Digital Marketers

Content Creators who would be leveraging Artificial Intelligence (AI) technology for content creation and curation

Lead-Generation newbies, experts or Email Marketers who have an interest to learn new tech.

Ardent Learners and MBA students.

Decision Trees, Random Forests, AdaBoost & XGBoost in Python - Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python

You're looking for a complete Decision tree course that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in Python, right?

You've found the right Decision Trees and tree based advanced techniques course!

After completing this course you will be able to:

Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost  of Machine Learning.

Have a clear understanding of Advanced Decision tree based algorithms such as Random Forest, Bagging, AdaBoost and XGBoost

Create a tree based (Decision tree, Random Forest, Bagging, AdaBoost and XGBoost) model in Python and analyze its result.

Confidently practice, discuss and understand Machine Learning concepts

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.

If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Decision tree, Random Forest, Bagging, AdaBoost and XGBoost.

Why should you choose this course?

This course covers all the steps that one should take while solving a business problem through Decision tree.

Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.

What makes us qualified to teach you?

The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course

We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:

This is very good, i love the fact the all explanation given can be understood by a layman - Joshua

Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.

What is covered in this course?

This course teaches you all the steps of creating a decision tree based model, which are some of the most popular Machine Learning model, to solve business problems.

Below are the course contents of this course on Linear Regression:

Section 1 - Introduction to Machine Learning

In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.

Section 2 - Python basic

This section gets you started with Python.

This section will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.

Section 3 - Pre-processing and Simple Decision trees

In this section you will learn what actions you need to take to prepare it for the analysis, these steps are very important for creating a meaningful.

In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like  missing value imputation, variable transformation and Test-Train split. In the end we will create and plot a simple Regression decision tree.

Section 4 - Simple Classification Tree

This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python

Section 5, 6 and 7 - Ensemble technique

In this section we will start our discussion about advanced ensemble techniques for Decision trees. Ensembles techniques are used to improve the stability and accuracy of machine learning algorithms. In this course we will discuss Random Forest, Baggind, Gradient Boosting, AdaBoost and XGBoost.

By the end of this course, your confidence in creating a Decision tree model in Python will soar. You'll have a thorough understanding of how to use Decision tree  modelling to create predictive models and solve business problems.

Go ahead and click the enroll button, and I'll see you in lesson 1!

Cheers

Start-Tech Academy

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Below is a list of popular FAQs of students who want to start their Machine learning journey-

What is Machine Learning?

Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

What are the steps I should follow to be able to build a Machine Learning model?

You can divide your learning process into 4 parts:

Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.

Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model

Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python

Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.

Why use Python for data Machine Learning?

Understanding Python is one of the valuable skills needed for a career in Machine Learning.

Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:

    In 2016, it overtook R on Kaggle, the premier platform for data science competitions.

    In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.

    In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.

Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.

What is the difference between Data Mining, Machine Learning, and Deep Learning?

Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.

Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.

Who this course is for:

People pursuing a career in data science

Working Professionals beginning their Data journey

Statisticians needing more practical experience

Anyone curious to master Decision Tree technique from Beginner to Advanced in short span of time

Udemy Courses - Atlassian Confluence Masterclass 2020, Complete & Comprehensive course on the latest 2020 version of Atlassian's Confluence for Project Management | Created by GenMan Solutions

Confluence is a powerful enterprise collaboration tool that brings people, knowledge, and ideas together in a shared workspace, so you can do your best work. Through this course "Atlassian Confluence Masterclass 2020", you will learn how to use the latest version of Confluence to transform the way your team works.

This course is structured to guide you through all the key aspects of managing and using Confluence.

Whether you’re new to Confluence, training your teammates, or ready to take your Confluence skills to the next level, this guide covers everything from the basics to in-depth best practices.

The course will start with setting up your own Confluence account and you will be introduced to all the key features of Confluence in subsequent lectures. With each lecture, you will learn important concepts such as creating engaging content, sharing information, and engaging users to collaborate in real time with each other.

By the end of the course, you will be able to create your pages, blogs and share the same with your team members to engage & collaborate.

Please find below the course structure for your quick reference:

1. Brief overview of Confluence

2. Setting up your own Confluence account

3. Applications of Confluence

4. Navigate through the Confluence interface, spaces, user profile & settings

5. Introduction to all key features of Confluence: Spaces, Pages, Blogs & Comments

6. Create Content: Spaces, Pages, Blog Posts

7. Master Spaces: Create different types of Spaces: Team, Personal & Project Spaces; Delete & Archive Spaces

8. Master Pages & Blog Posts

9. Invite users to collaborate

10. Confluence Editor: Usage & features

11. Add links, files, macros and mentions

12. Space & Page Blueprints

13. Content Permissions, Labels & Restrictions

14. Watch Content

15. Keyboard Shortcuts

16. Confluence best practices

Data Science 2020 : Complete Data Science & Machine Learning - Machine Learning A-Z, Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science

What you'll learn

Description

Data Science and Machine Learning are the hottest skills in demand but challenging to learn. Did you wish that there was one course for Data Science and Machine Learning that covers everything from Math for Machine Learning, Advance Statistics for Data Science, Data Processing, Machine Learning A-Z, Deep learning and more?

Well, you have come to the right place. This Data Science and Machine Learning course has 11 projects, 250+ lectures, more than 25+ hours of content, one Kaggle competition project with top 1 percentile score, code templates and various quizzes.

We are going to execute following real-life projects,

Kaggle Bike Demand Prediction from Kaggle competition

Automation of the Loan Approval process

The famous IRIS Classification

Adult Income Predictions from US Census Dataset

Bank Telemarketing Predictions

Breast Cancer Predictions

Predict Diabetes using Prima Indians Diabetes Dataset

Today Data Science and Machine Learning is used in almost all the industries, including automobile, banking, healthcare, media, telecom and others.

As the Data Science and Machine Learning practioner, you will have to research and look beyond normal problems, you may need to do extensive data processing. experiment with the data using advance tools and build amazing solutions for business. However, where and how are you going to learn these skills required for Data Science and Machine Learning?

Data Science and Machine Learning require in-depth knowledge of various topics. Data Science is not just about knowing certain packages/libraries and learning how to apply them. Data Science and Machine Learning require an indepth understanding of the following skills,

Understanding of the overall landscape of Data Science and Machine Learning

Different types of Data Analytics, Data Architecture, Deployment characteristics of Data Science and Machine Learning projects

Python Programming skills which is the most popular language for Data Science and Machine Learning

Mathematics for Machine Learning including Linear Algebra, Calculus and how it is applied in Machine Learning Algorithms as well as Data Science

Statistics and Statistical Analysis for Data Science

Data Visualization for Data Science

Data processing and manipulation before applying Machine Learning

Machine Learning

Ridge (L2), Lasso (L1) and Elasticnet Regression/ Regularization for Machine Learning

Feature Selection and Dimensionality Reduction for Machine Learning models

Machine Learning Model Selection using Cross Validation and Hyperparameter Tuning

Cluster Analysis for unsupervised Machine Learning

Deep Learning using most popular tools and technologies of today.

This Data Science and Machine Learning course has been designed considering all of the above aspects, the true Data Science and Machine Learning A-Z Course. In many Data Science and Machine Learning courses, algorithms are taught without teaching Python or such programming language. However, it is very important to understand the construct of the language in order to implement any discipline including Data Science and Machine Learning.

Also, without understanding the Mathematics and Statistics it's impossible to understand how some of the Data Science and Machine Learning algorithms and techniques work.

Data Science and Machine Learning is a complex set of topics which are interlinked. However, we firmly believe in what Einstein once said,

"If you can not explain it simply, you have not understood it enough."

As an instructor, I always try my level best to live up to this principle. This is one comprehensive course on Data Science and Machine Learning that teaches you everything required to learn Data Science and Machine Learning using the simplest examples with great depth.

As you will see from the preview lectures, some of the most complex topics are explained in a simple language.

Some of the key skills you will learn,

Python Programming

Python has been ranked as the #1 language for Data Science and Machine Learning. It is easy to use and is rich with various libraries and functions required for performing various tasks for Data Science and Machine Learning. Moreover, it is the most preferred and default language of use for many Deep Learning frameworks including Tensorflow and Keras.

Advance Mathematics for Machine Learning

Mathematics is the very basis for Data Science in general and Machine Learning in particular. Without understanding the meanings of Vectors, Matrices, their operations as well as understanding Calculus, it is not possible to understand the foundation of the Data Science and Machine Learning. Gradient Descent which forms the very basis of Neural Network and Machine Learning is built upon the basics of Calculus and Derivatives.

Advance Statistics for Data Science

It is not enough to know only mean, median, mode etc. The advance techniques of Data Science and Machine Learning such as Feature Selection, Dimensionality Reduction using PCA are all based on advance inferential statistics of Distributions and Statistical Significance. It also helps us understanding the data behavior and then apply an appropriate machine learning technique to get the best result from various techniques of Data Science and Machine Learning.

Data Visualization

As they say, picture is worth a thousand words. Data Visualization is one of the key techniques of Data Science and Machine Learning and is used for Exploratory Data Analysis. In that, we visually analyse the data to identify the patterns and trends. We are going to learn how to create various plots and charts as well as how to analyse them for all the practical purposes. Feature Selection plays a key role in Machine Learning and Data Visualisation is key for it.

Data Processing

Data Science require extensive data processing. Data Science and Machine Learning practitioners spend more than 2/3rd of the time processing and analysing the data. Data can be noisy and is never in the best shape and form. Data Processing is one of the key disciplines of Data Science and Machine Learning to get the best results. We will be using Pandas which is the most popular library for data processing in Python and various other libraries to read, analyse, process and clean the data.

Machine Learning

The heart and soul of Data Science is the predictive ability provided by the algorithms from Machine Learning and Deep Learning. Machine Learning takes the overall discipline of Data Science ahead of others. We will combine everything we would learn from the previous sections and build various machine learning models. The key aspects of the Machine Learning is not just about the algorithms but also understanding various parameters used by Machine Learning algorithms. We will understand all the key parameters and how their values impact the outcome so that you can build the best machine learning models.

Feature Selection and Dimensionality Reduction

In case you wonder, what makes a good data scientists, then this section is the answer. A good Data Science and Machine Learning practitioner does not just use libraries and code few lines. She will analyse every feature of the data objectively and choose the most relevant ones based on statistical analysis. We will learn how to reduce the number of features as well as how we can retain the value in the data when we practice and build various machine learning models after applying the principles of Feature Selection and Dimensionality Reduction using PCA.

Deep Learning

You can not become a good Data Science and Machine Learning practitioner, if you do not know how to build powerful neural network. Deep Learning can be said to be another kind of Machine Learning with great power and flexibility. After Learning Machine Learning, we are going to learn some key fundamentals of Deep Learning and build a solid foundation first. We will then use Keras and Tensorflow which are the most popular Deep Learning frameworks in the world.

Kaggle Project

As an aspiring Data Scientists, we always wish to work on Kaggle project for Machine Learning and achieve good results. I have spent huge effort and time in making sure you understand the overall process of performing a real Data Science and Machine Learning project. This is going to be a good Machine Learning challenge for you.

Your takeaway from this course,

Complete hands-on experience with huge number of Data Science and Machine Learning projects and exercises

Learn the advance techniques used in the Data Science and Machine Learning

Certificate of Completion for the most in demand skill of Data Science and Machine Learning

All the queries answered in shortest possible time.

All future updates based on updates to libraries, packages

Continuous enhancements and addition of future Machine Learning course material

All the knowledge of Data Science and Machine Learning at fraction of cost

This Data Science and Machine Learning course comes with the Udemy's 30-Day-Money-Back Guarantee with no questions asked.

So what you are waiting for? Hit the "Buy Now" button and get started on your Data Science and Machine Learning journey without spending much time.

I am so eager to see you inside the course.

Disclaimer: All the images used in this course are either created or purchased/downloaded under the license from the provider, mostly from Shutterstock or Pixabay.

Who this course is for:

Beginners as well as advance programmers who want to make a career in Data Science and Machine Learning

Music Theory for Electronic Music COMPLETE: Parts 1, 2, & 3 - Electronic music theory, digital music theory, and dance music theory. Learn music theory with ableton live and more!

What you'll learn

Description

** UDEMY BESTSELLER **

This course is "5-Star Certified" by the International Association of Online Music Educators and Institutions (IAOMEI). This course has been independently reviewed by a panel of experts and has received a stellar 5-star rating.

100% Answer Rate! Every single question posted to this class is answered within 24 hours by the instructor. 

Welcome to the MUSIC THEORY FOR ELECTRONIC MUSIC COMPLETE Guide!

This course is a combination of all three of my Music Theory for Electronic Musicians classes: Music Theory for Electronic Musicians, and Music Theory for Electronic Musicians 2, and Music Theory for Electronic Musicians 3. 

In this class, we learn how to work with the piano roll editor in a DAW to make harmonies, melodies, and whole tracks, and then we expand on those ideas and work with harmonic patterns (harmony) that is richer than just major and minor. 

Production Techniques Through Theory The most important part of this class is an extensive foray into using these techniques in actual tracks. I'll be creating 9 tracks through this class, right along with you, each using a different technique so you can see exactly how I incorporate it right into my music.

Full Sessions After each production project, I'll give you the whole session of what I made using the techniques for you to play with. You can download it, expand on it, re-work it, and even release it as your work.

If Your Music is Missing Something, This is Probably It. If you are finding that you are writing track after track, and while they sound good, there is something they are missing - then this it. You are missing the sense of harmony that professional producers have. In this class, I'll arm you with all the tools you need to produce those tracks just like you imagine them.

Who should take this course?  

Anyone interested in producing their own music. This will get you up and running and give your tracks a unique sound in no time.

Structure 

This course consists of video lectures, which all contain a session in Ableton Live 9. If you are using a different program (or none at all), no worries! This isn't a class on how to use Ableton Live, and the concepts can be applied to any DAW.

Some of the step-by-step guides in this course will be:

Finding notes, chords, and keys in your audio program

The 7 intervals and how to put them together

The steps to finding the key of your track (or any track!)

The most common chord progressions

The steps to using inversions to take your track from good to amazing.

The 4 types of 7th chords

The top techniques for writing a melody to fit a chord progression (and vice-versa!)

The 7 modes and their uses

19 Exotic scales and how to use them (include MIDI files!)

The course is a roadmap to finding the missing piece in your tracks, or just getting started making great tracks.

All the tools you need to make, produce, and start your music career are included in this course, and the entire course is based on real-life experiences - not just academic theory.

Please click the "Take This Course" button so you can start making great tracks today.

** I guarantee that this course is the most thorough music theory course available ANYWHERE on the market - or your money back (30-day money-back guarantee) **

Closed captions have been added to all lessons in this course.

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Praise for Courses by Jason Allen:

⇢  "It seems like every little detail is being covered in an extremely simple fashion. The learning process becomes relaxed and allows complex concepts to get absorbed easily. My only regret is not taking this course earlier." - M. Shah

⇢  "Great for everyone without any knowledge so far. I bought all three parts... It's the best investment in leveling up my skills so far.." - Z. Palce

⇢  "Excellent explanations! No more or less than what is needed." - A. Tóth

⇢  "VERY COOL. I've waited for years to see a good video course, now I don't have to wait anymore. Thank You!" - Jeffrey Koury

⇢  "I am learning LOTS! And I really like having the worksheets!" - A. Deichsel

⇢  "The basics explained very clearly - loads of really useful tips!" - J. Pook

⇢  "Jason is really quick and great with questions, always a great resource for an online class!" M. Smith

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Students who register for this course will receive ongoing exclusive content and discounts to all future classes in the series. 

Who this course is for:

Anyone in any country who is ready to start improving their tracks by learning everything they need to know about how music theory works and how to make great tracks TODAY.

No experience reading notes required.

Python for Absolute Beginners: Learn Python in One Day - A Python 3 Practical Programming Course for Absolute Beginners - Learn how to Code in Python (+Python Projects)

Start coding in Python immediately!   

If you are a beginner in Programming, then this course will help you learn Python Programming fast.

Python is an incredibly efficient language: your programs will do more in fewer lines of code than many other languages would require. It is also used in scientific fields for academic research and applied work.   

My goal was to create a Course for people of any age who have never programmed in Python before or have never programmed at all, so you can build programs that work.   

The course is full of examples and projects that are carefully chosen to demonstrate each concept so that you can gain a deeper understand of the language. It is designed to serve as a single, all-inclusive learning resource for all Python newcomers, whether they will be using Python 2.X, Python 3.X, or both   

Python Programming for Beginners is also perfect for middle school and high school teachers who want to offer their students a project-based introduction to programming.  

Are you looking to learn practical Python Programming you can put to use instantly? If so, then this is the course for you. It’s entirely project based and it’s full of examples which are fully explained and easy to understand. It has been recorder in full HD 1080p. If you get stacked don’t worry. I have fast and fully support through the discussion board. And if you don’t like the course simply return it. There is a 30-day money back guarantee. 

At the end of this Python class you will be given a Certificate of Completion. 

 Python is a great language to learn, so enroll in this course and let’s get started!

Who this course is for:

Complete Programming Beginners who have never programmed before

People with willingness for learning

Students transitioning over from another programming language to Python

Office workers, students, and administrators would want to improve their productivity

This course is a language tutorial, not a reference, and not an application course

The Ultimate Beginners Guide to Game Development with ROBLOX - Game development & design. Become a coding Ninja! Learn how to make your own Roblox games the fun way!

What you'll learn

After this course you will have a solid Roblox Lua understanding what can be used to create Roblox games.

You can use the game you created to further develop it and make it greater than ever before.

You will have a solid understanding of how to sell your products & ingame boosters so you can make Robux with your games.

You get a certificate on completing the course you can show to Roblox game studios when applying or a developer role.

You create professional Roblox Games and even have a bonus chance on learning how to create VR Games on Roblox.

You are capable of starting your own game studio on Roblox.

Create a several Roblox Games and get a understanding of the code and responsibilities behind them.

Learn how to build a community around your games.

Create a several Roblox Games and get a understanding of the code and responsibilities behind them.

Learn how to create custom server systems without the need of a VIP server.

Description

**2019 & 2020 Featured Roblox Educator**

This Roblox course is a official 2019 & 2020 Featured Roblox Educator course.

Together we try to make it easier for starting game developers and dreamers to make there very own games and start earning there first bits of Robux.

Roblox is more than an entertainment platform. It’s an immersive educational tool where the opportunities for creativity and imagination are limitless.  

Anyone can build a game on Roblox. It doesn’t matter if you’re new to coding or you’ve never designed your own virtual world. With a little imagination and the right tools, you’re already well on your way to taking the first leap into game development. Join the course to start building your own worlds on Roblox today!

Why taking this course?

2019 & 2020 Roblox Featured Educator

Deviac Education is one of the 2019 featured educational schools that got featured by Roblox.

Online support 

Get help when you need it 5 days a week. Fast responses from the instructor team  

Support for Parents

For parents, we offer active support on how to block certain features on the Roblox platform to make sure your child stays safe and protected while being able to learn to create games.

Create your first games within hours

Follow the video tutorials step by step to make your own Roblox games.

Become a coding pro

Write real Lua code easy, quick and on a fun and easy to follow way.

Publish your games and play with friends

Learn how to share your creations with the world and earn Robux.

Create Commercial-Grade Roblox games

This course will make you able to create Roblox games of commercial quality. Games that have a minimum of +10k times played and 8 out of 10 ratings.

Most advanced Roblox course

This course is the first every created Udemy Roblox development course and with that also the most advanced Roblox development course ever created. The games you create in this game are not just easy & simple looking games no they are commercial quality games with a real player base and a community behind them.

30 Day Money Back Guarantee 

Together with Udemy we offer a 30-day money-back guarantee no questions asked. This means that you got nothing to lose but need to be aware of the case that when you dive too deep into the course that refunds are not possible anymore.

Features you'll love 

Web Exclusive

Cheapest Lua course among all on the web

Video Tutorials

Live Updates

Commercial-Grade Games

Real Lua Code

Easy & Fun

Exercises

Quizzes

Q&A Section

Publish Games

Build a Community

Earn Robux

How it works 

Watch the easy to follow videos teach you how to code step by step. Listen carefully to the instructor as not everything in the course is just about watching a video and writing down what he or she writes down.

Learn the Lua code to build & expand your own Roblox games. This won't always as easy as you would like to but it's important you keep pushing yourself to the limits to every time reach a higher level and become better every step you take.

Share your games with friends and publish them online. Start playing together with them, ask them for feedback and let them invite there friends to build your community. Host small events and expand your game based on feedback of friends and other Robloxians.

Earn Robux thanks to what you learned and created during the course. Keep thinking about new ways of activating people to spend a little Robux on your game so you may start making a living out of your game business.

 

Who this course is for:

You are interested in coding.

You are able to invest time to get better.

You have a love for game development.

You would like to learn more about Roblox Lua concepts and normal Lua concepts.

You are able to run Roblox Studio on windows

You would like to learn more about networking and server replication

You haven´t found the perfect course for you and are looking for a constantly expanding course.

ArcPy for Python Developers using ArcGIS Pro - GIS is hot - take your python skills to new levels and greatly increase your career options.

The global Geographic Information System (GIS) market is expected to by worth over ten billion dollars by 2023, and is growing at a huge rate.

Developers who are skilled with appropriate GIS software are already in high demand and the demand is growing.

At the GIS Stack Exchange - the spatial library for Python - the most questions asked are for ArcPy, which provides a Python API to Esri’s flagship product ArcGIS Desktop and its two main applications (ArcGIS Pro and ArcMap).

Consequently, there has never been a better time for Python developers to add ArcPy skills to their repertoire.

This course is primarily designed to introduce Python developers to the ArcPy classes and functions for working with ArcGIS Pro.  It will also introduce them to many aspects of the ArcGIS Pro GUI, so that they are well placed to understand the requirements of the end users for the applications that they write. 

While relatively little Python experience is needed to undertake the course, the Python classes and functions used may be easier to understand if you have already undertaken introductory Python training - such as the Learn Programming Academy’s Python Masterclass.

The course is also suitable for ArcGIS Pro end users who wish to learn ArcPy, but they may need to embark on a steep Python learning curve, if they have minimal skills in that language.

Most sections of this course can be taken in any order.  You just need to download the data, and check that you have ArcGIS Pro and your Python IDE working first.

NOTE: Paid software is required to take this course.

The course requires only a Basic level license of ArcGIS Desktop (which includes ArcGIS Pro), and no extension products need to be licensed in order to complete all exercises.

If you do not have an ArcGIS Desktop license, then for about $100-150 per annum it is possible to use an Advanced level license and many of the extension products for non-commercial purposes (like taking this course!), via Esri’s ArcGIS for Personal Use program (details inside the course).

It is also possible to undertake a 21-day free trial of ArcGIS Pro (details also inside the course).

The recommendation is to take the 21-day free trial to get started.

This course starts by examining the various places that Python code can be used within the ArcGIS Pro application, and how Python code can be written using a Python IDE to interact with ArcGIS Pro as either a standalone script or a Python script tool.

You will then be taken on a tour of the most commonly used ArcPy functions and classes for geoprocessing, followed by tours of its modules for data access and mapping.

The scenarios chosen, to illustrate how each function and class is used, are derived from the presenter’s experience working with ArcPy and Python for almost 10 years, and with Esri software for 30 years.

Your instructor, Graeme Browning has been using the Esri software on a daily basis for over 30 years, 8 years of which he has spent using ArcPy. Graeme has also spent 18 years  with Esri UK and Esri Australia working in different roles from Senior GIS Analyst to Technical Director.

He is also ranked in GIS Stack Exchange as the all-time, worldwide:

#1 user of ArcPy

#1 user of ArcGIS Desktop

#2 user of ArcGIS Pro

#5 user of all GIS products

Graeme has also received the Esri High Achievement Award by Jack Dangermond (President).

He has already developed nearly 20 one-day courses and half-day workshops for instructor-led delivery and along with that, nearly 20 eLearning video courses.

So if you're looking for the perfect instructor to teach you the best practices in learning ArcPy for Python, Graeme is the best one there is!

Key Topics to be covered are :

Using ArcPy and Python in multiple interfaces within and alongside ArcGIS Pro

Python window

Python IDE (e.g. IDLE)

Python Script Tools

Python Toolbox Tools

Python Parser for Field Calculating and Labeling

Using ArcPy Modules, Classes and Functions

Working with the search, update and insert cursors of ArcPy’s Data Access Module (arcpy.da)

Performing GIS Inventory by Listing Data, Describing Data and Walking System Folders and Spatial Datasets

Using the Mapping module for map automation using project, map, layer, layout, map frame, extent, camera, spatial reference, text, graphics, legends, scale bars, north arrows, pictures and many other object classes

Working with Map Series to meet simple through to complex Map Book requirements

Finding your way around ArcGIS Pro’s very extensive ArcPy/Python documentation

Working with Point, Line and Polygon Geometries

Setting the Geoprocessing Environment

Getting and Setting Parameters for Python Script Tools

Creating test data

Exporting map layouts to PDF

Enrolling in this course is the best decision you can make!

The course focuses on teaching ArcPy in-depth from the basics through to advanced

It’s 3-4 times the length of any other ArcPy course, and designed to accommodate many more lectures and challenges on not just ArcGIS Pro, but also ArcMap

Plus, it teaches ArcPy for ArcGIS Pro which was only released in 2015, while other ArcPy courses typically use only the older ArcMap! You are getting the most up to date learning!

By the end of this course, you will have the necessary skills needed to become an expert in ArcPy using ArcGIS Pro and apply it to your own programs such as Map Automation and Geoprocessing.

The ideal student would be someone with a basic knowledge of Python who is eager to improve their skills and take them to the next level by learning ArcPy using ArcGIS pro.

The sooner you sign up for this course, the sooner you will have the skills and knowledge that would put you among the list of in demand Python developers!

Sign up today and get started!

Who this course is for:

This course is suitable for developers with some basic Python language exposure who want to enhance their skills by learning about ArcPy using ArcGIS Pro.

Reiki Level I, II and Master Certification - Energy Healing - Become a Certified Usui Reiki Practitioner - Heal Yourself, Family, Friends, Clients, Pets and More with Energy Healing!

=  A FEW OF MELISSA'S TESTIMONIALS =

"I took a course in person with a Reiki Master for these 2 levels and paid a lot of money for them. I can honestly say that I actually learned MORE and in a more loving, precise way from THIS course than I did with my in person teacher." - Dawn

"I have learned so much more in this course than a course I took in person with another Reiki master!!!" "It's insane the amount of material that's provided here!!!!" - Rita V

"I have taken several courses through Udemy. You are the best teacher hands down." - Betty Jo

"This was an incredible course!! The reiki course-book alone is worth it's weight in gold and really easy to follow along and learn. I had done my reiki level 1 & 2 at an in-person workshop previously and I honestly learned more from this course with Melissa. - Narelle

"I was not sure about the long distance attunement at first, but it was very powerful and there was no doubt in my mind that I had received it."  - Debbie

"I would give it 100☆'s if I could... Thank you!!!"- Christine

"For me, this was a life-changing course .....This course is worth more than whatever you pay!" - Michael

"I wish I could give this course a 10-star rating!" - Amit

"If you take one Reiki course, take this one. Well worth it." - Joseph

====== WHAT TO EXPECT ======

Learn how to harness Reiki, the Universal Life Force Energy to heal yourself, friends, family, pets, other people, animals, objects and even situations! You'll learn how to take care of your mind, body, and soul; as well as attract loving energy and abundance into your life!

====== WHAT'S INCLUDED ======

This course includes all three levels of Reiki:  Reiki Level 1, Reiki Level 2, and Master Level. Melissa's course is self-paced and completely digital, which means you can go as slow or as quick as you like.  The most important component here is to choose the path that feels right for you.

When you're ready, you'll be attuned via a distance Chakra Cleansing & Reiki Attunement Ceremony for all three Reiki levels.

From there, you'll be able to access your course handbook, written by Melissa: Energy Healing Through Reiki (in PDF), as well as the accompanying Workbook Exercises book (PDF) to record your practice sessions and experiences in.

What's more, Melissa gives her students the best additional learning tools such as: Posters of Each Reiki Symbol (PDF), a 5 Minute Guided Meditation (via lecture and MP3 download), Human Chakra Posters (PDF), Dog Chakra Posters (PDF), and Cat Chakra Posters (PDF) - not to mention some links to other helpful resources.

Melissa's comprehensive manual, workbook, additional books and learning tools will ensure you have everything you need, not just to become a Reiki Master, but to master your mind, body and soul.

Once you've completed the entire course, gone through all the lectures and practiced when prompted, if you choose to, you'll be able to take my Reiki Master Final Exam to receive a beautiful Usui Reiki Master Certificate (PDF) showing your Reiki lineage, too!

Some of the additional benefits of this course include being able to grow spiritually, improve your self worth, be more centred and calm in your everyday life, achieve and live at a higher level of energy, notice synchronicities and attract abundance into your life.

Also, Melissa offers up some tips and hints for those who want to start their own Reiki business as a result of taking this course.

Lastly, Melissa will continue to add more helpful information to this course over time - of which you'll have lifetime access to.

Who this course is for:

This course is ideal for those who want to learn how to harness energy healing for themselves and others

While this course stands strongly on its own, it does complement other healing modalities such as massage, chiropractic services, nursing and more

No prior knowledge or experience is necessary, however this course does require you to have an open mind and willingness to love :)

Lean Six Sigma White Belt Training and Certification - Get Lean Six Sigma White Belt Trained and Achieve a Global Accredited Lean Six Sigma White Belt Certification in 2 hours

Six Sigma White Belt Certification is the beginning of all Six Sigma certifications. As an individual grows the Six Sigma certification ladder, his resume becomes highly lucrative and better than his peers. A Six Sigma Certification allows the individual to get the right visibility across all levels in the organization. He starts adding value in whatever he does with the help of this Six Sigma knowledge, skills and expertise. This same Six Sigma certification allows him to minimize or eliminate the competition.       

If you are a working professional, you can’t just do your business as usual activities and expect a promotion OR a pay hike. If you are a fresher, you can’t just complete education and directly land up into a dream job. Like you there are many professionals who are looking for the same exact thing. How could you be different? You need an edge! And Six Sigma Certification is at the forefront of giving you that EDGE you were always looking for.   

Six Sigma certified professionals:   

Are highly respected individuals 

Are trained to solve any business problem 

Are capable of driving process improvements in the organization 

Get a pay-check that is much higher than their peers 

Have a skill-set that is designed to find problems and crush them in a matter of days 

Are known to maintain the right work-life balance

A Six Sigma White Belt Certification is the right start to your Six Sigma journey.    

A Six Sigma White Belt Certified professional:   

Has the know-how of Six Sigma Basics, Lean and Kaizen

Is trained to use the 7 Basic Tools of Quality including - 1) Process Map (SIPOC); 2) Check Sheet; 3) Histogram; 4)      Fishbone Diagram; 5) Pareto Chart; 6) 5 Why Analysis and 7) Run Chart 

Is capable of driving Six Sigma project activities

Has already set himself/herself on-track of fast paced growth

This course – Six Sigma White Belt: Learn Six Sigma and Grow Your Potential is designed to teach you the basics of Six Sigma and give you all the know-how to become an effective Six Sigma White Belt. This is a complete beginners guide to the journey of Six Sigma.    

If you are already a professional with medium to advanced level of Six Sigma knowledge, this course is probably not for you.

This course is created by individuals who are world-class Six Sigma trainers, Six Sigma Master Black Belts, industry professionals and gurus of Six Sigma who excel in online trainings.   

The course guarantees a detailed understanding of Six Sigma concepts at the White Belt level. Our ratings by fellow Udemy students indicate 100% satisfaction.   

Our promise to you   

We are a full time online training organization. We’ll be here for you every step of the way. If you have any questions about the course content or anything related to this topic, you can always post a question in the course or send us a direct message.   

Get ready to change your life   

You could be making a few thousand dollars each month OR you could be a fresher just out of college. If you have a passion to succeed in your career, if you want to bring that change in your life, if you want to gain high visibility in your organization, this Six Sigma course sow the seeds for your success.   

Contents and Overview   

You start with a quick understanding of why Six Sigma Certification is important for you

You then begin the Six Sigma White Belt journey by learning the different definitions of Quality

You continue your learning by understanding the history of Quality

You learn what is Six Sigma?

You then learn about the different Six Sigma roles in a Lean Six Sigma project 

You understand the difference between 99% quality and Six Sigma level of quality (which is essentially at 99.99966%) 

You learn an overview of the Six Sigma DMAIC model

You then learn the seven basic tools of quality including – Process Map (SIPOC), Checksheets, Histogram, Pareto Chart, Fishbone Diagram, 5 Why Analysis and Run Chart 

You understand what is Lean, value-added and non-value added activities and what is kaizen.   

When you finish the course, you:   

Become a Certified Six Sigma White Belt 

Add this powerful Six Sigma credential to your resume

Describe what is Six Sigma to any layman

Gain an end-to-end view of your business process - Create a SIPOC

Get to the root-cause of business problems - Use 5 Why Analysis

Analyze data and infer results using basic graphical tools such as Histogram, Pareto Chart and Run Chart 

Gain an overview of Lean and Kaizen

Upgrade your skill-set with Six Sigma certification

In a nutshell, you’ll feel confident to start practicing Six Sigma tools and techniques in your day-to-day professional life.   

You are also eligible to receive a verifiable certificate after completion of this class.   

With our 30-day 100% money back guarantee, there is nothing holding you back from jumping in right now and trying the course out.   

Go ahead and click the enroll button, and we’ll see you in lesson 1!   

Thank you for your time!   

Cheers,    

Team AIGPE.

Who this course is for:

This Six Sigma White Belt Certification program is meant for newbies who are not familier to Six Sigma and/or students/professionals looking for a quick refresher on Lean and Six Sigma

Leaders who want to deploy Lean and Six Sigma within their organization

Management folks who want an overview of Six Sigma