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Do you want to learn how to change the color of any object in Photoshop?

Then you've come to the right place!

In this course, we will be mastering the art of changing the color of anything in Photoshop by learning about the following principles and skills:

Understanding Bit-Depth And Its Relationship With Color

Understanding Color Theory

Mastering the Hue/Saturation Adjustment Function

Mastering Selections

Understanding Layer Masks

Understanding Blending Modes

Mastering the Replace Color Tool

Mastering the Selective Color Adjustment Function

Mastering Camera Raw for Changing Color in RAW images

Using the Generative AI Tools in Photoshop to Change Color

Understanding Color Models Like RGB and CMYK

Understanding the Concept of Color Space in Photoshop

Each of these sections includes multiple videos and multiple example images that you will be getting your hands on, so you can work along with me.

The best part about this course is that it's such a great mix of technicality and creativity, that by the time you finish this course, not only will you master the art of changing the color of any object in Photoshop, you will also understand the science behind Photoshop itself and how it really works when it comes to color.

Also, another important point to note is that most of the tools shown in this course are available in any version of Photoshop. So you don't need to have the latest one. Any older version will be fine too.

So if you like the sound of that, sign up right now and we will get started straight away!

Who this course is for:

This course is for people who want to learn how to change the color of any object in Photoshop.

Hi! Welcome to The Angular & NestJS E-Commerce Full Stack Web Development Bootcamp 2023!

This course is focused on building a real world application,

We will build a full stack website which will cover tons of tools and technologies including:

HTML5

CSS3

UI / UX

Responsive Design

Figma

Front End Framework - Angular

Back End - NestJS

NodeJS Basics

VS Code

NPM

REST API

Database - Postgres

Database Associations

Database Visualization

Database Schema Design

TypeORM

User Authentication

Admin Authorization

User & Admin Roles

Developer Best Practices

Cookies & Sessions

Web Hosting (Real World Scenario)

App Deployment and Terminal (Real World Scenario)

Image Upload and Storage (Online)

Image Resized and Crop (Online)

Logo Design and Editing (Online)

Through the course we will be discussing all those topics above by building the entire Full Stack Project, an E-commerce Website.

We will explain every topic, including basic web design, responsive design, how to structure the entire website including Frontend and Backend with production database, and deploy the website in only 1 course.

Because through the years in the web development industry I have realized that most of the courses are either focused on only one topic (which means you have to purchase multiple courses in the future to continue the web development journey, or the lack of compiling all the technologies to build a real world application / website. Students usually have to learn things they don't even need, or some technologies are outdated (most people might not even use them), which is wasting a lot of valuable time.

That's why I built this course:

1 course includes the necessary parts for building an entire real world project.

If you have any questions, please don't hesitate to contact me.

Sign up today and see how fun, exciting, and rewarding web development can be!

Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python - Begin data analytics by learning Excel, SQL, Python, Analytics & ML concepts from scratch. Must-know for a data analyst

[April 2024 update]

Added a video on the "Analyze Data" option in MS Excel

Added a video on "How Index works in SQL"

Added a new section on how to practice SQL using fun case studies.

Added a video on "How to integrate ChatGPT inside Excel using openAI API"

You're looking for a complete course on how to become a data analyst, right?

You've found the right Data Analyst Masterclass with Excel, SQL & Python course! This course will teach you data-driven decision-making, data visualization, data analytics in SQL, and the use of predictive analytics like linear regression in business settings.

After completing this course you will be able to:

Master Excel's most popular lookup functions such as Vlookup, Hlookup, Index, and Match

Become proficient in Excel data tools like Sorting, Filtering, Data validations, and Data importing

Make great presentations using Bar charts, Scatter Plots, Histograms, etc.

Become proficient in SQL tools like GROUP BY, JOINS, and Subqueries

Become competent in using sorting and filtering commands in SQL

Learn how to solve real-life business problems using the Linear Regression technique

Understand how to interpret the result of the Linear Regression model and translate them into actionable insight

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this course on Data Analyst Skillpath in Excel, SQL, and Python.

If you are a student, business manager, or business analyst, or an executive who wants to learn Data Analytics concepts and apply data analytics techniques to real-world problems of the business function, this course will give you a solid base for Data Analytics by teaching you the most popular data analysis models and tools

Why should you choose this course?

We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:

Concepts and use cases of different Statistical tools required for evaluating data analytics models

Step-by-step instructions on implementing data analytics models

Downloadable files containing data and solutions used in the course

Class notes and assignments to revise and practice the concepts

The practical classes where we create the model for each of these strategies are something that differentiates this course from any other course available online.

What makes us qualified to teach you?

The course is taught by Abhishek (MBA - FMS Delhi, B. Tech - IIT Roorkee) and Pukhraj (MBA - IIM Ahmedabad, B. Tech - IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problems using Analytics and we have used our experience to include the practical aspects of business analytics in this course. We have in-hand experience in Business Analysis.

We are also the creators of some of the most popular online courses - with over 1,200,000 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 like Data Analytics in MS Excel, SQL, and Python. Each section contains a practice assignment for you to practically implement your learning on Data Analytics.

What is covered in this course?

The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tools which are MS Excel, SQL, and Python. This will aid the students who have no prior coding background to learn and implement Analytics and Machine Learning concepts to actually solve real-world problems of Data Analysis.

Let me give you a brief overview of the course

Part 1 - Excel for data analytics

In the first section, i.e. Excel for data analytics, we will learn how to use excel for data-related operations such as calculating, transforming, matching, filtering, sorting, and aggregating data.

We will also cover how to use different types of charts to visualize the data and discover hidden data patterns.

Part 2 - SQL for data analytics

IN the second section, i.e. SQL for data analytics, we will be teaching you everything in SQL that you will need for Data analysis in businesses. We will start with basic data operations like creating a table, retrieving data from a table etc. Later on, we will learn advanced topics like subqueries, Joins, data aggregation, and pattern matching.

Part 3 - Preprocessing Data for ML models

In this section, you will learn what actions you need to take step by step to get the data and then prepare it for analysis, these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do univariate analysis and bivariate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation, and correlation.

Part 4 - Linear regression model for predicting metrics

This section starts with simple linear regression and then covers multiple linear regression.

We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.

I am pretty confident that the course will give you the necessary knowledge on Data Analysis, and the skillsets of a Data Analyst to immediately see practical benefits in your workplace.

Go ahead and click the enroll button, and I'll see you in lesson 1 of this Data Analyst Skillpath course!

Cheers

Start-Tech Academy

** Fully updated in May 2024 for the latest versions of LangChain, OpenaAI, and Pinecone. **

Build hands-on generative LLM-powered applications with LangChain.

Create powerful web-based front-ends for your generative apps using Streamlit.

The AI revolution is here and it will change the world! In a few years, the entire society will be reshaped by artificial intelligence.

By the end of this course, you will have a solid understanding of the fundamentals of LangChain, Pinecone, OpenAI and Google's Gemini Pro and Pro Vision. You'll also be able to create modern front-ends using Streamlit in pure Python.

This LangChain course is the 2nd part of “OpenAI API with Python Bootcamp”. It is not recommended for complete beginners as it requires some essential Python programming experience.

Currently, the effort, knowledge, and money of major technology corporations worldwide are being invested in AI.

In this course, you'll learn how to build state-of-the-art LLM-powered applications with LangChain.

What is LangChain?

LangChain is an open-source framework that allows developers working with AI to combine large language models (LLMs) like GPT-4 with external sources of computation and data. It makes it easy to build and deploy AI applications that are both scalable and performant.

It also facilitates entry into the AI field for individuals from diverse backgrounds and enables the deployment of AI as a service.

In this course, we'll go over LangChain components, LLM wrappers, Chains, and Agents. We'll dive deep into embeddings and vector databases such as Pinecone.

This will be a learning-by-doing experience. We'll build together, step-by-step, line-by-line, real-world LLM applications with Python, LangChain, and OpenAI. The applications will be complete and we'll also contain a modern web app front-end using Streamlit.

We will develop an LLM-powered question-answering application using LangChain, Pinecone, and OpenAI for custom or private documents. This opens up an infinite number of practical use cases.

We will also build a summarization system, which is a valuable tool for anyone who needs to summarize large amounts of text. This includes students, researchers, and business professionals.

I will continue to add new projects that solve different problems. This course, and the technologies it covers, will always be under development and continuously updated.

The topics covered in this "LangChain, Pinecone and OpenAI" course are:

LangChain Fundamentals

Setting Up the Environment with Dotenv: LangChain, Pinecone, OpenAI, Google's Gemini

Google's Gemini Pro and Pro Vision

ChatModels: GPT-3.5-Turbo and GPT-4

LangChain Prompt Templates

Prompt Engineering using recommended Guidelines and Priciples

Simple Chains

Sequential Chains

Introduction to LangChain Agents

LangChain Agents in Action

Vector Embeddings

Introduction to Vector Databases

Diving into Pinecone

Diving into Chroma

Splitting and Embedding Text Using LangChain

Inserting the Embeddings into a Pinecone Index

Asking Questions (Similarity Search) and Gettings Answers (GPT-4)

Proficient in using AI Coding Assistants (Jupyter AI)   

Creating front-ends for LLM and generative AI apps using Streamlit

Streamlit: main concepts, widgets, session state, callbacks

The skills you'll acquire will allow you to build and deploy real-world AI applications. I can't tell you how excited I am to teach you all these cutting-edge technologies.

Come on board now, so that you are not left behind.

I will see you in the course!

Mastering GenAI: Fine-Tune & Adapt LLMs Effectively - Harness Advanced Techniques in AI: From Fine-Tuning to Ethical Deployment and Optimization

Explore the cutting-edge field of Generative AI with our course, 'Mastering GenAI: Fine-Tune & Adapt LLMs Effectively.' Designed for professionals and enthusiasts alike, this course offers a deep dive into the mechanisms of large language models such as GPT and BERT. You'll learn how to fine-tune these models to meet specific requirements, ensuring they perform optimally across various industries.

Through a mix of theoretical insights and practical exercises, participants will explore different fine-tuning techniques including supervised, unsupervised, and reinforcement learning methods. The course will also address the critical aspects of model optimization, such as hyperparameter tuning and avoiding overfitting, to enhance both efficiency and accuracy.

A significant focus will be on the ethical deployment of these technologies. You'll learn to navigate the complexities of AI ethics, ensuring your AI solutions are fair and equitable. This course will prepare you to effectively adapt and deploy AI models, making you a valuable asset in any tech-driven industry.

By the end of this course, participants will not only understand the theoretical underpinnings of generative AI but also be proficient in implementing and optimizing these models in a practical, ethical, and efficient manner. Whether you’re looking to innovate within your organization, kickstart a career in AI, or academically explore AI technologies, this course will serve as a vital stepping stone to achieving those goals.

Introduction:

Are you looking for an online course that will teach your child about electronic devices? If your child loves electronic devices and games, there is a new course available that can teach them how to create their own. The Educational Engineering Team offers a beginner’s course for parents to teach their kids aged 8-12, which will teach them the basics of electronics and more.

Kids love gadgets and electronics, so it's no surprise that there is a growing market for classes teaching kids how to use these devices. One such electronics course is offered by the Educational Engineering Team. The Teach Your Kids Electronics course is designed for parents to teach their kids aged 8 to 12. Students learn about the different parts of electronic devices, how to use them, and how to find information on the Internet.

What is Teach Your Kids Electronics?

This section will define what the Teach Your Kids Electronics course is all about and how it can help your children.

The course is divided into two sections: "Electronics Basics Level I" and "Teach Your Kids Electronics Level II." The first unit is about electricity and how it works; the second level is more on hands-on activities.

Teach Your Kids Electronics – Level 1 is part of a specially-designed middle school STEM curriculum curated by curriculum experts for teaching the basics of electronics to kids through activities such as glowing an LED, making a DIY turntable, controlling DC and servo motors, classifying objects with touch sensors, and so on. Electronics for Kids Levels will have students making their own DIY electronics projects in no time, thanks to straightforward instructions and a variety of fun activities for kids.

What are the benefits of enrolling in an electronics for kids course?

The course is easy to follow. Your child will have access to a great teacher.

Your child will learn how to use digital devices responsibly.

Your child will have the opportunity to create digital content.

Kids will learn how to use a computer and the internet in a safe and responsible manner.

Kids will develop essential skills that will help them in school and in their future careers.

They will be able to type quickly and accurately.

Kids will develop problem-solving skills.

The course is designed to help kids learn about electronics through a series of modules that each teach a different skill.

The course is project-based, so kids will be able to apply the skills they learn in the course to real-world projects.

What you will learn in this course:

Learn the basics of electronics.

Learn the basics of electronic current.

Learn the basics of sensors.

Learn and have fun with different activities and exercises.

Learn about conductors and insulators.

Learn while playing.

Learn how to be safe when using electronic devices.

Course Outline:

Section I

Basics of Electronic Voltage

Basics of Electronics Current

Introduction to Motors

DIY Turntable

Touch Sensors Conductors

Basics of Sensors

Section II

Conductors and Insulators

Touch Piano

Mini Fan

Tobi's Head Moves

Animating Sprite

Waking Animation

Playing Sounds

Let's Chat

Once Upon a Time

Kids love gadgets and electronics. But what are the best ways to introduce kids to these technologies? One option is a digital literacy course. This type, of course, introduces kids to the basics of electronics. Through interactive exercises, kids learn about electronics. These courses are available in many communities around the country, and they can be a great way for kids to get started with technology.

The course is easy to follow. Your child will have access to a great teacher. Your child will learn how to use digital devices responsibly. Your child will have the opportunity to create digital content.

Sign Up now and let's play, learn, and have some FUN!

About the Instructor: Educational Engineering Team

The Educational Engineering Team is a leading team in the Microcontroller Industry, with over 13 years of experience in teaching and practical projects. We strive to share our hands-on experience in these courses, providing step-by-step blueprints on taming both simple and complex topics in easy-to-digest bite-sized videos.

Ashraf:

Educator, Mechatronics engineer, electronics and programming hobbyist, and Maker.

Creator of online video courses on the EduEng YouTube Channel with over 4 million views and 20k+ subscribers.

Author of four Microcontroller books.

Founder and Chief Educational Engineer at Educational Engineering Team.

Passionate about exploring new trends and technology, and helping educate the world.

Our online courses have helped over 250,000 people worldwide to improve their skills and careers in the industry.

Call to Action: Join us and start teaching your kids electronics today! Enroll now and inspire your child's interest in science and engineering.

FAQ:

What is Teach Your Kids Electronics?

It is a beginner’s course designed to teach kids aged 8-12 the basics of electronics through fun and interactive activities.

Do I need prior experience to take this course?

No prior experience is needed; this course is designed for beginners.

What will my child learn in this course?

Your child will learn about basic electronics concepts, components, and circuits, and how to apply this knowledge in practical projects.

Welcome to "Crash Course Introduction to Machine Learning"! This course is designed to provide you with a solid foundation in machine learning, leveraging the powerful Scikit-learn library in Python.

What You'll Learn:

The Basics of Machine Learning: Understand the key concepts and types of machine learning, including supervised, unsupervised, and reinforcement learning.

Setting Up Your Environment: Get hands-on experience setting up Python, Jupyter Notebooks, and essential libraries like numpy, pandas, matplotlib, and Scikit-learn.

Data Preprocessing: Learn how to load, clean, and preprocess data, handle missing values, and split data for training and testing.

Building Machine Learning Models: Explore common algorithms such as Linear Regression, Decision Trees, and K-Nearest Neighbors. Train and evaluate models(Linear Regression), and understand performance metrics like accuracy, R^2 and scatter values in plots to measure the prediction.

Model Deployment: Gain practical knowledge on saving your pre-trained model for others to use.

This course is structured to provide you with both theoretical understanding and practical skills. Each section builds on the previous one, ensuring you develop a comprehensive understanding of machine learning concepts and techniques.

Why This Course?

Machine learning is transforming industries and driving innovation. This course equips you with the knowledge and skills to harness the power of machine learning, whether you're looking to advance your career, work on personal projects, or simply explore this exciting field.

Prerequisites:

Basic understanding of Python programming.

No prior knowledge of machine learning is required.

Enroll Today!

Join me on this journey to become proficient in machine learning with Scikit-learn. By the end of this course, you'll have the confidence to build, evaluate, and deploy your machine learning models. Let's get started!

Who this course is for:

Anyone eager enough to learn how machine learning works and to break down the magic to reality

Why learn Rust

Rust is a blazingly fast, but at the same time easy to pick up language, designed for reliability and memory management. Hundreds of companies around the world are using Rust in production today for fast, low-resource, cross-platform solutions. Software you know and love, like Firefox, Dropbox, and Cloudflare, uses Rust.

According to the StackOverflow developer survey, Rust is the most loved programming language among developers, for the fourth year in a row.

This course teaches you:

to install Rust on a PC or Mac

the language basics like

functions

data types

variables

etc

the fundamentals of

flow control

complex data types

exception handling

macros

etc

advanced topics such as

memory management

ownership and borrowing

sructures and traits

concurrency

etc

practical applications of all studied concepts

plenty of projects to get you practicing the language

We will apply everything we learned through coding small applications to solidify what we are studying. We will go through all these topics and explain them in detail. We will also implement many coding examples to make sure you fully understand and are able to apply the concepts.

This course opens up many opportunities to work in a growing market, where your skills will be highly values by employers. There is a huge shortage of Rust skills, and you can claim the top spot.

Sign up today and let's start learning Rust together.

When can we say that a business is successful?

Which are the techniques corporations use to monitor their performance?

What makes for an effective analytics project?

If these questions sound interesting and you want to learn about business analytics, then you’ve come to the right place.

This course is an invaluable journey, in which we will layout the foundations of your superior business analytics skills. You will start developing abilities that are highly necessary in any type of business environment, but particularly so when working for a large blue-chip corporation -running a complex business.

In this course, you will learn how to:

- Define business expectations

- Distinguish between a long-range plan and an annual business plan

- Perform stakeholder mapping

- Understand what business intelligence is and why it is essential for every modern company

- Carry out end-to-end process mapping

- Become familiar with the main types of end-to-end processes in a corporation: Hire-to-Retire (H2R), Record-to-Report (R2R), Order-to-Cash (O2C), Source-to-Pay (S2P)

- Identify key value drivers

- What are metrics and what distinguished metrics and KPIs

- Perform internal and external benchmarking

- Understand the importance of the Master data function

- Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis

- Determine which is the most appropriate type of analysis depending on the problem at hand

- Acquire an understanding of how to manage an analytics project

- Gain an understanding of what makes for a successful analytics project

All of this will be taught by an instructor with world-class experience. Randy Rosseel has worked in the Coca-Cola ecosystem for a bit more than 16 years. He has been a business controller, а senior manager of planning and consolidation, an associate director of planning and performance management; and, ultimately, a director of finance responsible for hundreds of employees.

Each of the topics in the course builds on the previous ones. And you risk getting lost along the way if you do not acquire these skills in the right order. For example, one would struggle to understand how to identify KPIs if they are not introduced to Stakeholder and end-to-end process mapping first.

So far, we have not seen other comparable training programs online. We believe that this is a unique opportunity to learn from a proven professional who has 360 degrees view of the analytics processes in one of the most recognizable companies in the world.

What you get

A well-prepared and structured business analytics training

Active Q&A support

Course notes

Hands-on exercises

Quiz questions

All the knowledge to apply analytics in a business context

A certificate of completion

Access to all future course updates

And we are happy to offer an unconditional 30-day money-back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.

Why wait? Every day is a missed opportunity.

Click the “Buy Now” button and become a part of our business analytics program today.

The Systems Modeling Language is the standard for Model-Based Systems Engineering (MBSE) as defined by the INCOSE and required by large corporations and government agencies R&D environments.

This course is for systems engineers and enterprise software developers who work in those environments and who are looking for the quickest way to learn SysML and get introduced to MBSE.

This on-demand, self-study course leans on two decades of work in high technology innovation, consulting, and professional education in MBSE and software model-driven development. The course focuses on best practices and hands-on experience gleaned from work on real, large scale projects in various business sectors, medical, automotive, aerospace, and government.

The course author and designer has been involved in professional education in large corporations for 21 years with over 9,000 hours of training and consulting in those environments. He contributed as one of the ten subject matter experts on the panel who oversaw and wrote questions for the OMG SysML certification exam.

In today’s marketplace, an MBSE-versed systems engineer get paid a premium salary for this knowledge. Although it is not designed to be a preparation course for the SysML certification, the learning scope of this course will help you work towards the ‘model builder intermediate’ level of the OMG SysML certification—the four levels are model user, model builder fundamental, model builder intermediate, and model builder advanced.

The aim in this course is to help you learn exactly how leading R&D and engineering organizations are applying this standard language. It will give you a sense of what developing system architectures with SysML looks like for complex and large-scale systems.

Are you new to the Shopify ecosystem?

You hear about GraphQL Storefront API, Shopify Hydrogen, and Shopify Admin Panel, but you don't know where to start. Don't worry, I am here to help! I'll teach you all of them. So, after finishing this course, you will know precisely how to build a beautiful, professional, and ready-to-launch e-commerce web app.

But what if you want to build a completely different website? Well, no problem! I designed the course curriculum precisely to enable you to design and develop any website you can think of, not just copy the course project.

This course is:

For those who want to learn to build an e-commerce website by using the up-to-date version of Shopify Hydrogen.

Who wants to move their Shopify Liquid Storefront to a modern React App with Shopify Hydrogen.

The Shopify Hydrogen & GraphQL Storefront API Development [2024] teaches you how to use GraphQL and Storefront API.

That can help you get an e-commerce job quickly or improve your app's abilities.

So, to become a confident and independent Shopify Hydrogen developer capable of building your websites in the future, you will learn the following:

The fundamentals of modern Shopify App Development

Creating a campaign (BOGO - Buy One Get One)

Storefront API Usage

Use of Shopify Admin Panel

Publishing Your Storefront App

Does this sound like fun? Then join me and start building e-commerce apps today!

Or are you not sold yet and need to know more? No problem, keep reading...

[01] Why should you learn Shopify Hydrogen in the first place?

Developers can craft fully tailored websites, gaining access to controllers and models. This facilitates the implementation of intricate logic and the execution of third-party service requests. An advantageous aspect of Hydrogen lies in its non-restrictive code coupling to the Shopify platform. This unique feature empowers businesses with the flexibility to transition between platforms without the need to commence development anew.

Advantages:

High performance, beneficial for SEO optimization.

Offers extensive customization options.

Seamless transition without the need for a complete migration.

Key Features:

Enhanced Flexibility: Hydrogen empowers developers to construct diverse websites, including single-page and progressive web applications. Additionally, it facilitates unit testing, supports custom URLs, and exhibits superior performance compared to Liquid.

Optimized Performance: Hydrogen is finely tuned for optimal performance, efficiently handling substantial traffic volumes. Stores developed with Hydrogen stand to benefit from quicker loading times and enhanced responsiveness.

Robust Error Handling: Hydrogen introduces advanced error handling and debugging capabilities, streamlining the process of identifying and resolving issues within your store.

Improved Developer Experience: Hydrogen is intentionally designed to be more user-friendly and accessible to learn than Liquid. This improved developer experience contributes to Shopify stores' seamless construction and maintenance.

[02] This course is for you if...

... you are a complete beginner with Shopify, with no idea how to build an e-commerce app.

... you already know a bit of React.

So, does all of this sound great? Then join me and start your Shopify development journey today!

This is a course created by an Instructor with a wealth of experience in Adult Education as an Instructor/Lecturer but also as a mature student. Recognising that situations and subjects and teaching/working environment will differ from country to country, educational institution to educational institution, this course is a collection of strategies/tips and overall advice.

But the course does not end there.

Owing to the differences, students are encouraged to post in the Q/A with their specific questions. Post to comment - and/or post for advice.

Topics covered include:

1. Quick tips and when to use them

2. Case Studies

3. Snowballing

4. Key elements of teaching adults

5. Distribution

6. Correcting and corrections

7. Tension

8. How to teach adults

9. Passion

10. Engagement

...and many other topics.

Throughout the lectures real-life examples are given.

How long will this course take to complete?

You could watch the course in a couple of hours - but that's not really the point. The whole idea is for you to watch and then apply the various strategies and THEN report back via the Q/A. Maybe you will have questions, asking how 'lecture 6' can be applied to your class of 50 year-olds etc etc.

See this course as a useful extra to any training you are undergoing as you prepare to teach adults. As you have lifetime access you can therefore ask questions for ever!

What is the aim of this course?

Most businesses on the face of it look very complicated and difficult to understand. On top of that, the competition is so fierce that you have to make decisions based on data and not on gut feeling (a very misleading creature). That’s why it’s crucial to define and understand the main drivers and metrics measuring those drivers. If you have properly defined Key Performance Indicators (KPIs) you can understand the mechanism behind any business, you will be able to model it in Excel and you will know how to grow it or improve it. You can also use properly defined KPIs to manage people efficiently, and give them goals aligned with your goals. That’s why I have decided to create a course solely concentrated on these KPIs.

This course will give you the knowledge and insight into drivers and KPIs used in different business models that can be used for understanding the business, managing it, motivating people, and improving results. The course will make your life during a consulting project much easier. If you are already a manager thanks to this course you will learn how to use the KPIs to understand and grow your business.

This course will help you drastically improve your knowledge and skills in understanding and improving your business using KPIs. It is designed for management consultants and newly appointed managers who want to excel at their work. In the course you will learn 6 things:

How to understand the business through KPIs

How to use KPIs to model the business in Excel

How to use KPIs to manage the business

How to use KPIs to motivate people

How to use KPIs to improve the business

What is a good KPI

The course is based on my 15 years of experience as a consultant in top consulting companies and as a Board Member responsible for strategy, improvement, and turn-arounds in the biggest companies from Retail, FMCG, SMCG, B2B, and services sectors that I worked for. On many occasions, I had to optimize also businesses I was responsible for. On the basis of what you will find in this course, I have trained over 100 consultants, business analysts, and managers who now are Sales and Marketing Directors, Operational Directors, COOs, CEOs, Investment Directors, Directors in Consulting Companies, Supply Chain Directors, Board Members, Partners in PE, etc. On top of that my courses on Udemy were already taken by more than 224 000 students including people working in EY, McKinsey, Walmart, Booz Allen Hamilton, Adidas, Naspers, Alvarez & Marsal, PwC, Dell, Walgreens, Orange, and many others.

I teach through cases, so most of the lectures are case studies showing some business problems solved in Excel. There will be also a practical guide on how to create good KPIs and a library of KPIs from different business models such as marketplace, retail, e-commerce, restaurant chain, and SaaS businesses. To every lecture, you will find attached (in additional resources) the Excels shown in the lecture so as a part of this course you will also get a library of ready-made analyses that can, with certain modifications, be applied by you in your work.

Why have I decided to create this course?

Many people are overwhelmed with the complexity of the businesses they have to manage or improve. During consulting projects, I have seen business analysts and management consultants struggling to understand the business fast enough to deliver value to the customer. The course will give you the knowledge and insight that will help you define KPIs and use them to understand, manage, and improve any business. Thanks to this course, you will know what and how to define and use KPIs during a consulting project or as a manager. I will show you also how to use the KPIs to model businesses in Excel. This part will be useful for estimating the potential improvements that can be made by improving certain drivers measured by KPIs.

To sum it up, I believe that if you want to be a great management consultant or manager you should master the art of defining and using KPIs. That is why, I highly recommend this course not only to consultants or managers that have to advise their customers but also to owners, founders of businesses as well as directors.

In what way will you benefit from this course?

The course is a practical, step-by-step guide loaded with tons of analyses, tricks, and hints that will significantly improve the speed with which you define and use the KPIs or metrics. There is little theory – mainly examples, and case studies with a lot of tips from my own experience as well as other notable examples worth mentioning. Our intention is that thanks to the course you will learn:

How to understand the business through KPIs

How to use KPIs to model the business in Excel

How to use KPIs to manage the business

How to use KPIs to motivate people

How to use KPIs to improve the business

What is a good KPI

You can also ask me any questions either through the discussion field or by messaging me directly. If needed I will create additional content as well.

How the course is organized?

The course is divided currently into the following sections:

Introduction. We begin with a little intro to the course. I will show you here what you can expect from this course and how it is organized

Understanding the business through KPIs. In the second section, I will show you how to use KPIs to understand different businesses. We will start by defining drivers for different businesses and on the basis of that, we will pick the right KPIs to understand those drivers. We will do it for different business models: e-commerce, the marketplace, restaurant, retail, and a SaaS business model

Using KPIs to model the business in Excel. In this section, I will show you how to use the KPIs to model the whole business model in Excel. This part will help you see the big picture and estimate the potential impact of the improvements on certain KPIs

How to use KPIs to manage? In section number 4 I will show you how to use the KPIs to manage a business. We will use them to decide how to 10x the business, how to increase profitability, decrease costs, etc.

How to use KPIs to motivate? In the next section, I will discuss how to use KPIs to motivate certain behaviors. We will also talk about the traps and pitfalls as well as the problems that bad KPIs can cause

What is a good KPI? This section will be devoted to a little bit of theory. I will show you what a good KPI is and how to define it

You will be able also to download many additional resources

Excels with analyses shown in the course

Presentation of slides shown in the course

Links to additional presentations and movies

Links to books worth reading

At the end of my course, students will be able to…

How to understand the business through KPIs

How to use KPIs to model the business in Excel

How to use KPIs to manage the business

How to use KPIs to motivate people

How to use KPIs to improve the business

How to create great, useful KPIs

Who should take this course? Who should not?

Management Consultants

Managers

Business Analysts

Directors

Startups founders

Controllers

What will students need to know or do before starting this course?

Basic or intermediate Excel

Basic knowledge of economics or finance

Are you ready to revolutionize the way you work with ChatGPT AI (Artificial Intelligence). The course is demo focused so you can see how you can use ChatGPT in action quickly.

Major update with current version of ChatGPT 4o (Current Version)

"This was the perfect course to get me started and to get ideas on now only how to use ChatGPT, but how to get a little creative with the prompts." -Elaine V

"I have already been introduced to ChatGPT but I have learned so much in the first few videos that I didn't even know!" -Shaista R

"Lot's of useful examples in the course. I must admit that besides learning this was also a bit of entertainment. Nice job Steve :-)" -Bernd E

"The instructor is knowledgeable, engaging and easy to follow." -Carmen R

"This is a great course to get started with chat, GPT. It’s quick, concise, and very informative. It will get you going in no time." -Patrick S

This course will teach you everything you need to know to effectively use this powerful language model in your professional life. You will be amazed at what ChatGPT can do for you in your work life and there are examples of using in your personal life as a bonus as well.

With ChatGPT, you can:

Automate repetitive tasks and processes: ChatGPT can help you streamline your workflow by automating tasks that would normally take up a significant amount of your time. For example, you could use ChatGPT to generate reports, emails, or social media posts with just a few simple commands.

Generate high-quality content and documents in seconds: ChatGPT's advanced language processing capabilities allow it to quickly generate well-written and informative content. Whether you need a blog post, an FAQ page, or a marketing brochure, ChatGPT can handle it all with ease.

Communicate with clients and colleagues in a personalized and efficient manner: ChatGPT's ability to understand and respond to natural language makes it a valuable tool for communication. You can use Chat GPT to send personalized emails or messages to clients, or to have virtual meetings and conversations with colleagues. Chat GPT can even help you schedule appointments and meetings, freeing up more of your time to focus on other tasks.

The course is designed for professionals of all levels, from beginners to advanced users. We will cover the basics of ChatGPT and how it works, as well as more advanced techniques for maximizing its potential in your work.

By the end, you will be a proficient ChatGPT user, able to save time and increase productivity in your daily work.

Don't miss out on this opportunity to take your career to the next level with ChatGPT. Enroll now and start revolutionizing the way you work!

Many thanks.

-Steve Ballinger, Top 1% Udemy Instructor & ChatGPT Enthusiast

I asked ChatGPT some questions about itself and here are the answers.

What is ChatGPT?

I am ChatGPT, a large language model developed by OpenAI. I use deep learning algorithms to understand natural language and generate responses to questions or prompts. Essentially, I'm a computer program designed to mimic human conversation and provide helpful answers and insights on a wide range of topics.

What Are The Benefits Of ChatGPT?

There are several benefits of using ChatGPT, including:

Availability: ChatGPT is available 24/7, so users can get answers to their questions or engage in conversation at any time of day.

Speed: ChatGPT is capable of processing large amounts of data quickly, so users can get responses to their queries in a matter of seconds.

Convenience: ChatGPT can be accessed from anywhere with an internet connection, making it a convenient tool for people who need information or assistance on-the-go.

Consistency: ChatGPT's responses are consistent and accurate, regardless of the user's mood, tone, or location. This helps to ensure that users receive reliable information every time they use the service.

Personalization: ChatGPT can be trained on specific topics or industries, allowing it to provide personalized answers and insights tailored to the user's needs.

Overall, ChatGPT is a powerful tool that can help individuals and businesses save time and effort by providing quick, reliable, and personalized responses to their questions and queries.

What Is The Difference Between The Different Versions Of ChatGPT?

The different versions of ChatGPT have evolved significantly, each bringing enhanced capabilities, improved performance, and additional features. Here’s a summary of the key differences between ChatGPT-3.5, ChatGPT-4.0, and ChatGPT-4.0o:

ChatGPT-3.5

Performance: Capable of understanding and generating human-like text with decent fluency and coherence.

Contextual Understanding: Can handle longer conversations and maintain context to some extent, but may struggle with very long or complex interactions.

Use Cases: Suitable for general purposes, content creation, basic customer service, and as a conversational agent.

ChatGPT-4.0

Improved Performance: Offers better fluency, coherence, and contextual understanding compared to 3.5. More capable of handling complex and nuanced prompts.

Enhanced Context Handling: Significantly better at maintaining context over long conversations, making it more reliable for extended interactions.

Increased Creativity and Problem-Solving: Shows improved creativity and problem-solving abilities, making it more useful for a wider range of applications.

Use Cases: Ideal for more advanced content creation, detailed customer service interactions, educational purposes, and professional use in various industries.

ChatGPT-4.0o (Optimized)

Optimized Performance: Further optimized for specific tasks, providing faster and more accurate responses.

Higher Efficiency: Uses resources more efficiently, leading to quicker response times and reduced latency.

Task-Specific Improvements: Tailored enhancements for particular use cases, such as coding, data analysis, and more specialized professional tasks.

Use Cases: Perfect for users needing high performance in specific domains, such as developers, data scientists, and professionals requiring quick, accurate information retrieval.

Summary

ChatGPT-3.5: Basic and general-purpose, suitable for everyday use.

ChatGPT-4.0: Improved performance and contextual understanding, better for complex and professional applications.

ChatGPT-4.0o: Optimized for specific tasks with higher efficiency and quicker responses, ideal for specialized professional use.

Each version builds on its predecessor, enhancing capabilities and refining performance to cater to increasingly sophisticated user needs.

What Are Some Of The Key Features Of The New ChatGPT 4o

ChatGPT-4.0o introduces several key features that significantly enhance its performance, efficiency, and usability for various applications. Here are some of the standout features:

Key Features of ChatGPT-4.0o

Optimized Performance:

Faster Response Times: The model is optimized to deliver quicker responses, reducing latency and improving user experience.

Improved Accuracy: Enhanced algorithms provide more precise and relevant answers, minimizing errors and misunderstandings.

Task-Specific Enhancements:

Domain-Specific Knowledge: Tailored improvements for specific domains such as coding, data analysis, legal advice, medical queries, and more.

Customizable Outputs: Ability to fine-tune outputs based on the context and specific needs of different tasks.

Enhanced Contextual Understanding:

Longer Context Retention: Improved ability to maintain context over extended conversations, making it more reliable for complex and lengthy interactions.

Nuanced Comprehension: Better understanding of subtleties and nuances in language, allowing for more sophisticated and human-like interactions.

Resource Efficiency:

Optimized Resource Utilization: More efficient use of computational resources, leading to cost savings and better performance.

Scalability: Enhanced scalability for deployment in various environments, from small-scale applications to large enterprise systems.

Advanced Creative Capabilities:

Enhanced Creativity: Improved ability to generate creative content, such as stories, poems, and more nuanced responses.

Problem-Solving Skills: Better at tackling complex problems and providing innovative solutions.

User-Friendly Features:

Custom Instructions: Allows users to set custom instructions, making interactions more personalized and aligned with user preferences.

Interactive and Dynamic Responses: More interactive and dynamic responses, improving engagement and satisfaction in user interactions.

Integration and Compatibility:

Seamless Integration: Easier integration with various platforms and applications, enhancing versatility.

Compatibility with APIs: Better compatibility with APIs and other tools, enabling more robust and flexible use cases.

Security and Privacy:

Enhanced Security: Improved security measures to protect user data and ensure privacy.

Compliance with Standards: Adherence to industry standards and regulations for data protection and ethical AI use.

Applications and Use Cases

Professional and Enterprise Use: Ideal for businesses seeking high-performance AI for customer service, support, content creation, and more.

Developers and Technical Users: Enhanced features for coding assistance, debugging, and technical queries.

Educational Purposes: Suitable for educational tools, providing accurate and detailed explanations and support for learning.

Creative Industries: Excellent for content creators, writers, and artists looking for inspiration and assistance in creative projects.

ChatGPT-4.0o builds on the strengths of its predecessors while introducing optimizations and enhancements that make it more powerful, efficient, and adaptable for a wide range of applications.