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Mastering Claude Cowork & AI Agents in 5 hours [2026]

Master Agentic AI with Skills, Plugins and Automate Workflows with Claude Cowork (Zero Coding Required)

In this course, you’ll learn how to move beyond AI-assisted work and simple prompts to build agentic systems that execute tasks, automate workflows, and deliver real business outcomes.

You’ll go from understanding how AI works to designing and deploying AI agents that connect to tools, process data, and operate across real-world systems.

We’ll start with the foundations of Claude Cowork and the shift toward autonomous agents. Then, you’ll learn how to connect AI to external tools using MCP, manage context and tokens efficiently, and design powerful agent capabilities.

A core focus of this course is building and extending agents using skills and plugins.

You’ll learn how to:

Structure and write SKILL Markdown files to define agent behaviour

Install and manage skills from the marketplace

Extend your agent with custom capabilities

Use and customize Claude plugins for real-world workflows

From there, you’ll build production-ready systems using the Data Plugin, where you’ll perform:

Data cleaning and validation

Data visualization and dashboard creation

statistical analysis

Automated reporting and PowerPoint generation

You’ll also create your own custom plugins and automated workflows, including financial forecasting systems and end-to-end automation pipelines.

By the end of the course, you won’t just be using AI—you’ll be building fully functional AI agents that can analyze, execute, and deliver results independently.

You’ll also master practical applications of Claude for:

Content creation

Coding and problem-solving

Deep research and document analysis

Financial data extraction from PDFs

Dashboard and report generation

This is a hands-on course built around real demos, real workflows, and real use cases—so you can immediately apply what you learn to your job or business.

Welcome to the #1 best-selling Power BI Desktop course – completely rebuilt for 2023/2024!

If you’re a data professional or aspiring analyst looking to learn the top business intelligence platform on the market, you’ve come to the right place. With more than 100,000 perfect 5-star reviews from students around the world, this is the course you’ve been looking for.

Throughout the course, you’ll learn from top instructors on the Maven Analytics team and put your skills to the test with hands-on projects and unique, real-world assignments.

THE COURSE PROJECT:

You’ll play the role of Business Intelligence Analyst for AdventureWorks Cycles, a fictional manufacturing company. Your role is to transform raw data into professional-quality reports and dashboards to track KPIs, compare regional performance, analyze product-level trends, and identify high-value customers.

But don’t worry, we’ll be here to guide you along every step of the way, with intuitive, crystal clear explanations and helpful pro tips to take you from zero to expert – guaranteed.

This course is designed to follow the key stages of the business intelligence workflow (data prep, data modeling, exploratory data analysis, data visualization & dashboard design) and simulate real-world tasks that data professionals encounter every day on the job:

STAGE 1: Connecting & Shaping Data

In this stage we’ll focus on building automated workflows to extract, clean, transform, and load our project data using Power Query, and explore common data connectors, storage modes, profiling tools, table transformations, and more:

Data connectors

Storage & import modes

Query editing tools

Table transformations

Connecting to a database

Extracting data from the web

QA & Profiling tools

Text, numerical, date & time tools

Rolling calendars

Index & conditional columns

Grouping & aggregating

Pivoting & unpivoting

Merging & appending queries

Data source parameters

Importing Excel models

STAGE 2: Creating a Relational Data Model

In stage 2 we’ll review data modeling best practices, introduce topics like cardinality, normalization, filter flow and star schemas, and begin to build our AdventureWorks data model from the ground up:

Database normalization

Fact & dimension tables

Primary & foreign keys

Star & snowflake schemas

Active & inactive relationships

Relationship cardinality

Filter context & flow

Bi-directional filters

Model layouts

Data formats & categories

Hierarchies

STAGE 3: Adding Calculated Fields with DAX

In stage 3 we’ll introduce data analysis expressions (DAX). We’ll create calculated columns and measures, explore topics like row and filter context, and practice applying powerful tools like filter functions, iterators, and time intelligence patterns:

DAX vs. M

Calculated columns & measures

Implicit, explicit & quick measures

Measure calculation steps

DAX syntax & operators

Math & stats functions

Conditional & logical functions

The SWITCH function

Text functions

Date & time functions

The RELATED function

CALCULATE, FILTER & ALL

Iterator (X) functions

Time intelligence patterns

STAGE 4: Visualizing Data with Reports

Stage 4 is about bringing our data to LIFE with reports and dashboards. We’ll review data viz best practices, building and format basic charts, and add interactivity with bookmarks, slicer panels, parameters, tooltips, report navigation, and more:

Data viz best practices

Dashboard design framework

Cards & KPIs

Line charts, trend lines & forecasts

On-object formatting

Table & matrix visuals

Conditional formatting

Top N filtering

Map visuals

Drill up, drill down & drillthrough

Report slicers & interactions

Bookmarks & page navigation

Numeric & fields parameters

Custom tooltips

Importing custom visuals

Managing & viewing roles (RLS)

Mobile layouts

Publishing to Power BI Service

We’ll also introduce brand new features as they are released, powerful artificial Intelligence tools like decomposition trees, key influencers, smart narratives and natural language Q&A, and performance optimization techniques to keep your reports running smoothly at scale.

Ready to get started? Join today and get immediate, lifetime access to:

15+ hours of high-quality video

200+ page Power BI ebook

25 homework assignments & solutions

Downloadable course project files

Expert Q&A support forum

30-day money-back guarantee

If you’re looking for the ONE course to help you build job-ready Power BI skills, you’ve come to the right place.

Happy learning!

-Chris & Aaron (Maven Analytics)

See why this is one of the TOP-RATED Power BI courses in the world:

“I believe this is the best Power BI course out there. I spent £1400 to attend a 3-day Power BI crash course, and have to confess it’s nothing compared to the knowledge, skills, expertise and understanding derived from this course. I am forever grateful to Chris and the Maven Analytics team for doing such amazing work and to Udemy for making this available.”

-Isaac Mensah

"Resources are awesome. Presenter is brilliant. I found this course more useful than the official Power BI course from Microsoft. Things are easy to follow, and presentations are high quality."

-Jacobus M.

"Chris is a skilled communicator and does a great job of explaining a complex tool like Microsoft Power BI. His 'pro-tips' are great for new user productivity and gaining a sense of the big picture, and I value his best practices on building and managing Power BI queries and reports. I'm feeling much more confident to dig in and use Power BI on my own projects!"

-Bill Jerrow

“Simply put, this course is AMAZING! The instructor literally takes you step-by-step from knowing nothing about Power BI into nearly an expert! I have had experience working with Power BI even in a corporate setting in the past, and I was still blown away by the level of granularity Chris was able to casually explain in a way that made sense. The hands-on exercises are THE perfect way to reinforce the concepts you learn throughout the course and connect theory to application. Can't speak enough to how great this course is, I will definitely be coming back to it as a reference guide in my work and would recommend it to anyone looking to learn Power BI!”

-Ikenna Egbosimba

“I've been in university classrooms for much of my life and Chris is a university level instructor.”

-Allan Searl

Looking for the full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, Tableau, Alteryx & Python!

Master Microsoft Excel: Learn from Excel with Kyle using Hands-On Practice from a Microsoft Excel Instructor with over 300,000 followers across TikTok and Facebook

Whether you're a student, business professional, data analyst, or entrepreneur, this course gives you the tools to work smarter, faster, and more confidently in Excel

Unlock the full power of Microsoft Excel — from your very first formula to advanced data analysis and automation. This course is designed to take you from absolute beginner to Excel expert, with hands-on practice using downloadable files in every single lecture so you learn by doing, not just watching

My teaching style is concise and straight-to-the-point, while still thoroughly explaining the function

What You'll Learn

Beginner Essentials:

Math functions: SUM, AVERAGE, COUNTA, and more

Data cleaning tools: TRIM, CLEAN, SUBSTITUTE, Find & Replace, Removing Blanks, and more

Formatting mastery: cell styles, number formats, conditional formatting, freezing panes

Navigation tips and layout tricks to build clean, readable spreadsheets

Intermediate Power Moves:

Pivot Tables: summarize and analyze data like a pro with slicers, filters, parent row calculations, and changing layouts

Text extraction: LEFT, RIGHT, MID, TEXTSPLIT, TEXTJOIN, TEXTBEFORE, TEXTAFTER, and pattern-based logic

Lookup functions: XLOOKUP, FILTER, VLOOKUP, INDEX MATCH

Logical formulas: IF, IFS, SUMIFS, COUNTIFS, AVERAGEIFS, Nested IF, and combining all these with AND/OR

Advanced Excel Wizardry:

Duplicate detection and advanced handling techniques to identify and remove them

Dynamic formulas: REGEX, LET, FILTER, working with Wildcards for partial matches, and much more

Automation with Macros and Power Query (ETL)

Additional functions & tools: Python in Excel, AGGREGATE, TOCOL, Goal Seek, Solver, and more hidden gems

As we go through the course, we will build on the functions we learned in previous sections, teaching you new functions, and how to combine new functions with functions we already learned to create dynamic formulas

Why This Course Is Different:

Every lecture includes hands-on exercises — no passive learning with PowerPoint slides

Real-world examples you’ll actually use in business, finance, and data work from a long-time Data Analyst

Step-by-step progression and reinforcement from basics to advanced tools

Lifetime access and downloadable practice files

Ready to become the Excel expert everyone turns to? Enroll now and start building your skills — one function at a time!

This course contains the use of artificial intelligence. Microsoft Power BI is the most in-demand business intelligence and data analytics tool in the world.

Organizations rely on Power BI to transform raw data into insights that drive decisions, performance, and strategy.

This course is a complete, end-to-end Power BI bootcamp designed to take you from foundational concepts to advanced, enterprise-ready Power BI solutions—including DAX, performance optimization, Microsoft Fabric, AI, Copilot, DevOps, and real-world projects.

Whether you are a beginner starting from scratch or a professional looking to master modern Power BI and Fabric capabilities, this course gives you the skills, confidence, and real-world experience required to succeed.

Why This Course Is Different

Most Power BI courses stop at basic visuals and simple DAX.

This course goes far beyond that.

You will learn how Power BI is actually used in real organizations, including:

Designing scalable, high-performance data models

Writing efficient, production-ready DAX

Optimizing performance for large datasets

Using Microsoft Fabric, OneLake, Lakehouses, and DirectLake

Implementing security, governance, and deployment pipelines

Leveraging AI features and Power BI Copilot

Applying DevOps, CI/CD, and ALM best practices

Delivering complete end-to-end business solutions

By the end of this course, you will not just know Power BI—you will think like a Power BI professional.

What You Will Learn

Connect, clean, and transform data using Power Query

Build robust star-schema data models

Master DAX from fundamentals to advanced patterns

Create interactive dashboards and reports that tell clear data stories

Implement Row-Level Security (RLS) and governance best practices

Optimize report and model performance for enterprise scale

Use aggregations, composite models, and incremental refresh

Work with Microsoft Fabric, OneLake, Lakehouses, and Dataflows Gen2

Build high-performance models using DirectLake

Apply AI features like Key Influencers, Decomposition Tree, Q&A, and Copilot

Implement deployment pipelines, ALM, and CI/CD automation

Use REST APIs, PowerShell, and Git for Power BI DevOps

Plan and deliver real-world Sales, HR, and Financial analytics projects

Follow industry best practices for documentation and maintainability

Prepare confidently for Power BI certification and professional roles

Real-World, Practical Focus

This course is not theory-only.

You will work through real-world business scenarios, including:

Sales performance and forecasting analytics

Human resources and workforce analytics

Financial reporting, budgeting, and variance analysis

Enterprise-grade deployment and lifecycle management

Each module builds practical skills you can immediately apply at work or in interviews.

Who This Course Is For

This course is ideal for:

Aspiring Power BI Developers

Data Analysts and Business Analysts

Excel users transitioning to Power BI

Data Engineers working with Power BI and Fabric

Consultants and BI professionals

Anyone preparing for Power BI certification

Professionals who want enterprise-level Power BI skills

No prior Power BI experience is required—everything is explained clearly and progressively.

Tools & Technologies Covered

Power BI Desktop & Power BI Service

Power Query (M language)

DAX (Data Analysis Expressions)

Microsoft Fabric

OneLake, Lakehouse, DirectLake

Dataflows Gen2

AI & Copilot in Power BI

Deployment Pipelines & ALM

REST APIs & PowerShell

CI/CD & Git integration

Outcome: Job-Ready Power BI Skills

By completing this course, you will be able to:

Design, build, optimize, and deploy professional Power BI solutions

Confidently work with modern Microsoft Fabric architectures

Communicate insights clearly to stakeholders

Apply best practices used by enterprise BI teams

Stand out in interviews and on the job

This is not just a course—it is a career-ready Power BI transformation.

Master Data Warehousing, Dimensional Modeling & ETL process

Master Data Warehousing, Dimensional Modeling & ETL process

Do you want to learn how to implement a data warehouse in a modern way?

This is the only course you need to master architecting and implementing a data warehouse end-to-end!

Data Modeling and data warehousing is one of the most important skills in Business Intelligence!

This is the most comprehensive & most modern course you can find on data warehousing.

Here is why:

Most comprehenisve course with 9 hours video lectures

Learn from a real expert - crystal clear & straight-forward

Master theory & practice - hands-on demonstrations, assignments & quizzes

We will implement a complete data warehouse - end-to-end

Understand everything step by step from the absolute basics to the advanced topics

Learn the practical steps and the important theory to upskill your career

This course will take you all the way to being able to architect and implement a data warehouse in a company in a professional manner.

Here is what you'll learn:

Data Warehouse Basics

Data Warehouse architecture

Data Warehouse infrastructure

Data Modeling

Setting up an ETL process

Dimensional Modeling: Facts & Dimensions

Implementing a comeplete data warehouse hands-on

Slowly Changing Dimensions

Understanding ETL tools

ELT vs. ETL

Advanced topics like: Columnar storage, OLAP Cubes, In-memory databases, massive parallel processing & cloud data warehouses

Optimizing a data warehouse using indexes (B-tree indexes & Bitmap indexes)

Practically using and connecting a data warehouse

By the end of this course you will be able to design & build a complete data warehouse from the ground up. You will have the knowledge, the practical skills and the confidence to implement a modern data warehouse professionally.

Everything you need to be a highly proficient data architect, data engineer, data analyst or Business Intelligence expert!

Join now to get instant & lifetime access - of course backed by the no-questions-asked 30 days money back guarantee!

In today’s data-driven business environment, the ability to turn raw data into actionable insights is a game-changer. Microsoft Power BI Desktop for Business Professionals is a hands-on course designed to equip you with the tools and techniques needed to harness the power of data analytics and visualization effectively. Whether you’re a business analyst, manager, or decision-maker, this course will empower you to create compelling reports and interactive dashboards that drive smarter decisions.

This course begins by introducing you to the fundamentals of Microsoft Power BI Desktop, including its intuitive interface and core functionalities. You’ll learn to connect to a variety of data sources, transform messy datasets into clean, usable formats, and design powerful data models that form the foundation of effective analytics. Through real-world examples and practical exercises, you’ll explore how to craft visually appealing reports and dashboards that convey critical business insights at a glance.

The course also delves into more advanced features like using DAX (Data Analysis Expressions) to perform calculations and implement custom logic, enabling you to uncover deeper insights. You’ll gain confidence in creating dynamic visualizations, filtering data interactively, and sharing your insights securely with colleagues or stakeholders.

With a focus on real-world applications, this course prepares you to tackle challenges across industries, from marketing analytics and financial reporting to operations management and beyond. By the end of this course, you’ll have a robust understanding of Power BI Desktop and the ability to leverage its capabilities to improve decision-making and add value to your organization.

Update : Learn how to boost productivity and save time using AI-driven platforms

Course Key Highlights:

Learn the fundamentals of Microsoft Power BI

Data Connection and Transformation

Data Modeling Essentials

Interactive Data Visualizations

Advanced Analytics with DAX

Hands-On Learning

Sharing and Collaboration

Self-Paced, Flexible Learning

Expert Support and Community Access

Certificate of Completion

Take the next step in your professional journey and join a community of learners mastering the art of business analytics with Microsoft Power BI Desktop!

July 2025

Python Essentials Remake with 13 new videos

New Sections on Regression Analysis and Data Visualizations

More Projects and Coding Exercises

December 2024

Classes and Object-Oriented Programming

Classes Capstone Project

June 2024 - Complete remake of the course with:

Python essentials

Python Intermediate

Pandas

Coding Exercises, Challenges, and Capstone Projects

WHY SHOULD YOU LEARN PYTHON?

Python has become an indispensable tool in business analytics and data analysis, powering decisions in companies of all sizes.

In fact, demand for data professionals is surging – the number of data analyst and scientist job openings is projected to grow 36% between 2023 and 2033, far outpacing the average for all occupations.

Python’s popularity in this field is no coincidence: while R was designed for statistics, Python is now the more popular language for data analytics, prized for its versatility and beginner-friendly learning curve.

For anyone aiming to break into data analytics or enhance their business intelligence skills, mastering Python is a smart move.

WHY SHOULD YOU PICK THIS COURSE?

I am passionate about Python and have crafted this course to share powerful insights that go beyond typical training:

Engaging, Personalized Lessons: As your instructor, I ensure every lesson is engaging, clear, and highly applicable.

Real-World Application: You’ll solve real problems with data, learning skills that you can immediately apply at work or in your projects.

Ongoing Support: Learning doesn’t end when the course does. I offer continued support to help you grow and refine your skills over time.

WHAT YOU WILL LEARN?

Here is a complete list of topics with examples of what you will do

Python fundamentals – input/output, loops, conditionals, functions, and object-oriented programming.

Data wrangling with Pandas – import, clean, merge, aggregate and visualise messy business datasets.

Statistical modelling & regression – from exploratory data analysis to error metrics and dummy-variable traps.

Data-visualization mastery – histograms, violin, ridgeline, bar-lollipop, spider charts that tell persuasive stories.

Automation & scripting – split-bill calculator, budgeting mastermind, recipe converter and more.

Capstone projects – Virtual Escape Game (logic & loops) and Bitte-Eats delivery simulator (classes & OOP).

Put simply, you finish ready to own the analytics pipeline—from raw CSVs to board-ready insights.

WHY LEARN PYTHON WITH ME?

I am a Berlin-based analytics leader who has planned €4 billion in revenue with data-driven decision-making for Europe’s largest e-commerce players and the United Nations.

I have taught over 45 000+ students, with 7 000+ reviews and a 4.5 overall rating.

When you learn with me, you gain:

Battle-tested frameworks drawn from forecasting, econometrics and machine-learning projects.

Storytelling skills that convince managers, not just notebooks that run.

A mentor who answers, not a faceless video voice.

READY TO START YOUR PYTHON JOURNEY?

Don't miss the opportunity to turn data into your most powerful business tool. Enroll today and start your journey toward becoming a Python data analysis expert. Let Python open doors to new possibilities for you and your organization.

Dive in and happy Python learning!

Deep Learning Prerequisites: The Numpy Stack in Python (V2+) - The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence

Welcome! This is Deep Learning, Machine Learning, and Data Science Prerequisites: The Numpy Stack in Python.

One question or concern I get a lot is that people want to learn deep learning and data science, so they take these courses, but they get left behind because they don’t know enough about the Numpy stack in order to turn those concepts into code.

Even if I write the code in full, if you don’t know Numpy, then it’s still very hard to read.

This course is designed to remove that obstacle - to show you how to do things in the Numpy stack that are frequently needed in deep learning and data science.

So what are those things?

Numpy. This forms the basis for everything else.  The central object in Numpy is the Numpy array, on which you can do various operations.

The key is that a Numpy array isn’t just a regular array you’d see in a language like Java or C++, but instead is like a mathematical object like a vector or a matrix.

That means you can do vector and matrix operations like addition, subtraction, and multiplication.

The most important aspect of Numpy arrays is that they are optimized for speed. So we’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.

Then we’ll look at some more complicated matrix operations, like products, inverses, determinants, and solving linear systems.

Pandas. Pandas is great because it does a lot of things under the hood, which makes your life easier because you then don’t need to code those things manually.

Pandas makes working with datasets a lot like R, if you’re familiar with R.

The central object in R and Pandas is the DataFrame.

We’ll look at how much easier it is to load a dataset using Pandas vs. trying to do it manually.

Then we’ll look at some dataframe operations, like filtering by column, filtering by row, the apply function, and joins, which look a lot like SQL joins.

So if you have an SQL background and you like working with tables then Pandas will be a great next thing to learn about.

Since Pandas teaches us how to load data, the next step will be looking at the data. For that we will use Matplotlib.

In this section we’ll go over some common plots, namely the line chart, scatter plot, and histogram.

We’ll also look at how to show images using Matplotlib.

99% of the time, you’ll be using some form of the above plots.

Scipy.

I like to think of Scipy as an addon library to Numpy.

Whereas Numpy provides basic building blocks, like vectors, matrices, and operations on them, Scipy uses those general building blocks to do specific things.

For example, Scipy can do many common statistics calculations, including getting the PDF value, the CDF value, sampling from a distribution, and statistical testing.

It has signal processing tools so it can do things like convolution and the Fourier transform.

In sum:

If you’ve taken a deep learning or machine learning course, and you understand the theory, and you can see the code, but you can’t make the connection between how to turn those algorithms into actual running code, this course is for you.

"If you can't implement it, you don't understand it"

Or as the great physicist Richard Feynman said: "What I cannot create, I do not understand".

My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch

Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?

After doing the same thing with 10 datasets, you realize you didn't learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times...

Suggested Prerequisites:

matrix arithmetic

probability

Python coding: if/else, loops, lists, dicts, sets

you should already know "why" things like a dot product, matrix inversion, and Gaussian probability distributions are useful and what they can be used for

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:

Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses)

Who this course is for:

Students and professionals with little Numpy experience who plan to learn deep learning and machine learning later

Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code

Are you eager to embark on a rewarding journey into the world of data analytics? Welcome to the Data Analytics Career Track, where you'll gain a comprehensive skill set and invaluable knowledge to thrive as a data analyst.

Course Overview: Embark on a transformative 72-day journey into the world of data analytics, where you'll learn the essential skills and tools to become a successful data analyst. This comprehensive course is designed to take you from a beginner to a proficient data analyst, equipping you with the knowledge and practical experience needed to excel in the field.

Key Objectives:

Proficiency in Essential Tools: The course curriculum is structured to cover three core pillars of data analysis: Excel, SQL, and Python. You'll start by mastering Excel, the industry-standard spreadsheet software, learning how to manipulate data, perform calculations, and create visualizations to communicate insights effectively.

Hands-on Experience: Engage in practical data analysis projects and coding exercises, honing your problem-solving skills through immersive learning experiences. With a focus on hands-on learning, you'll work on real-world projects and case studies, applying your newfound skills to solve practical challenges faced by data analysts in various industries.

Foundational Knowledge: Gain insights into data analysis theories, statistical methods, hypothesis testing, and machine learning fundamentals, laying a solid groundwork for your career. Learn A-Z data cleaning and manipulation techniques, including sorting, filtering, conditional formatting, and advanced analysis with pivot tables and charts. Acquire a deep understanding of relational database management systems (RDBMS), covering key concepts such as primary keys, foreign keys, and SQL manipulation.

Excel Proficiency: You'll start by mastering Excel, the industry-standard spreadsheet software, learning how to manipulate data, perform calculations, and create visualizations to communicate insights effectively.

SQL Proficiency: You'll dive into SQL, the language of databases, gaining proficiency in querying and manipulating data stored in relational databases. You'll learn how to extract relevant information using SQL commands, perform data joins and aggregations, and optimize queries for efficiency.

Python Proficiency: you'll explore Python, a powerful programming language widely used for data analysis and visualization. You'll discover how to leverage Python libraries such as Pandas, NumPy, and Matplotlib to conduct advanced data analysis, automate tasks, and create interactive visualizations.

ChatGPT Proficiency:  you'll use ChatGPT for data preparation, including dealing with missing data, outliers, and converting data types, complex data manipulation tasks, such as merging datasets, creating pivot tables, executing sophisticated data analysis, identifying trends, patterns, and making predictions using advanced machine learning models like the random forest regressor.

Power BI Proficiency: You'll become proficient in Power BI, a leading business analytics tool that allows you to connect to various data sources, transform raw data into meaningful insights, and create interactive dashboards and reports. You'll learn how to utilize Power Query for data cleaning and transformation, design visually appealing and informative charts and dashboard.

Practical Assignments: Challenge yourself with over 50 practical assignments, 140 coding exercises, and 10 quizzes spanning the breadth of the course curriculum.

Capstone Projects: Apply your newfound skills to real-world scenarios with two comprehensive capstone projects focused on bank data analysis and sports data analysis, providing a holistic view of the data analytics workflow.

Benefits of the Course:

Career Readiness: Prepare for a successful career as a data analyst with essential professional skills and practical knowledge.

Versatility: Gain proficiency in multiple tools and techniques, making you adaptable to diverse data analysis scenarios and industry demands.

Problem-solving Skills: Enhance your analytical and critical thinking abilities through hands-on data analysis exercises and coding challenges.

Industry-Relevant Learning: Stay ahead of the curve with up-to-date insights into data analysis methodologies and best practices.

Portfolio Enhancement: Build a robust portfolio showcasing your expertise through practical projects and assignments, demonstrating your readiness for the job market.

Join us on the Data Analytics Career Track and unlock endless possibilities in the world of data analysis. Whether you're looking to kickstart a career in data analytics or enhance your existing skills, this course will empower you to succeed in the dynamic world of data. Join us on this exciting journey and unlock your potential as a data analyst in just 60 days!

This Power BI course offers a practical and straightforward approach to learning the essential skills for data analysis and creating interactive dashboards. Over 1.5 hours of content, you will learn how to use Power BI’s key tools and features to transform raw data into clear and impactful reports.

What will be taught in the course:

Installing and navigating Power BI: You will learn how to install Power BI and navigate the interface, becoming familiar with the tool.

Data importation: The course will show how to import data from various sources such as Excel, SQL, and the Web, enabling you to work with data from different origins.

Data cleaning and transformation with Power Query: You will learn how to use Power Query to clean and transform data, organizing it thoroughly for analysis.

Data modeling and relationship creation: The course teaches how to create relationships between tables and model your data effectively for analysis.

Advanced calculations with DAX: You will learn how to use DAX formulas for advanced calculations, allowing you to create custom measures for in-depth analysis.

Creating interactive dashboards: You will learn how to build dynamic dashboards with charts, maps, and KPIs, making your reports interactive and easy to interpret.

Publishing and presenting reports online: Finally, the course will show how to publish your reports and dashboards online, sharing them efficiently and with impact.

This hands-on approach ensures you acquire the necessary skills to work efficiently and effectively with Power BI, creating interactive reports and dashboards that turn data into valuable insights.

Welcome to the BPMN for Beginners course!

Do you want to develop your career?

Add BPMN to your resume?

Start your road to IBM certification?

Whether you are new to the professional world or looking to enhance your skills, this course will provide you with essential tools to understand and work with business processes using BPMN (Business Process Model and Notation).

Why Learn BPMN?

Every day, we encounter business processes, whether you're working in accounting, logistics, or aiming to become an SAP consultant. BPMN diagrams help professionals across various fields to understand and improve these processes. By learning BPMN, you’ll be able to visually represent complex workflows in a way that is universally understood within your organization.

What Does BPMN Teach You?

Process Thinking: BPMN teaches you how to break down complex ideas and workflows into simpler, fundamental elements. This is an essential skill in today's AI-driven job market, where analytical and critical thinking are increasingly valued.

Problem Solving: Understanding and interpreting facts, drawing conclusions, and improving processes are crucial to staying competitive in your career. BPMN helps you practice and develop these skills.

Future-Proof Skills: Business process management (BPM) and analytical thinking are key skills for the future. Mastering BPMN will equip you with the ability to think critically and interpret processes, making you a more effective professional.

If you're looking to sharpen your analytical skills and be ready for the future, this course is the perfect starting point. Join us and start mastering the language of business processes today!

As a bonus, you can find many BPMN diagrams and handy presentations in PDF to download.

This Power BI course has been meticulously designed to provide a comprehensive introduction to Business Intelligence (BI) and data analytics, equipping participants with the necessary skills to import, transform, analyze, and visualize data effectively. Whether you are a beginner looking to enter the field or a seasoned professional aiming to enhance your expertise, this program covers fundamental and advanced techniques for building interactive reports and dashboards.

Participants will learn how to connect and clean data from multiple sources, leveraging Power Query to structure and optimize datasets. The course provides in-depth training on data modeling and relationship management, enabling students to create well-structured data models that ensure accuracy and efficiency in analysis.

A key component of the program is the mastery of DAX (Data Analysis Expressions), allowing learners to perform advanced calculations, aggregations, and data transformations. By applying these techniques, students will be able to extract deeper insights from their data and create dynamic measures that drive strategic decision-making.

Beyond data manipulation, the course delves into effective storytelling with data, emphasizing best practices for report design, visualization, and dashboard creation. Students will gain hands-on experience in crafting compelling reports that communicate insights clearly and effectively.

Additionally, the program explores Power BI Online, where participants will learn how to publish, share, and collaborate on reports and dashboards within an organization. They will also acquire troubleshooting skills to address common Power BI challenges, ensuring smooth and efficient workflows.

By the end of the course, students will be able to design and develop professional-grade dashboards, apply Business Intelligence principles to real-world decision-making, and confidently utilize Power BI in a variety of professional settings.

Tableau Certification is becoming more prevalent these days and I'm not surprised. The demand for Data Skilled workers has been rising exponentially in the last couple of decades and believe it or not, there's a shortage. Companies are recruiting heavily and upskilling those they can. This is where you come in.

HOW IS THIS COURSE DIFFERENT FROM THE REST?

The only course on Udemy that teaches the complete Tableau Platform; Desktop, Online, Prep, Bridge and Conductor!

Most instructors only teach Tableau Desktop which is the visualization tool. I'll teach you the entire ecosystem from data cleansing and preparation, to data ETL, automation, Story Telling, Tableau Online and Server and much more.

WHO'S THIS FOR?

This course is designed specifically for those who do not have a data background or experience and want to be more efficient in the way they clean, prepare and share data.

It has also been designed specifically to pass the Tableau Certifications by preparing you for the Tableau Desktop Specialist Practice Exam as well as the others depending on how far you want to go. We'll be doing assignments and lessons throughout which mirror some of the Tableau Desktop Specialist Exam Questions.

EXAMS YOU'LL BE PREPARED FOR

Tableau Desktop Certification

Tableau Certified Associate

Tableau Certified Data Analyst

PROBLEMS YOU'VE EXPERIENCED WITH EXCEL IN THE PAST

Excel becomes slow or crashes when you have lots of rows of information or too many charts

It’s difficult to remember or write formulas

You can’t remember which file is the latest version and end up working on the wrong one

It’s annoying having to email multiple Excel files to the same people everyday

It takes hours create a usable and robust dashboard

Takes hours to investigate data and find patterns/trends

WHAT IS TABLEAU?

Tableau solves all the above issues!

The beauty of Tableau is its intuitive nature and makes it easy for anyone to learn it. When getting started its mainly drag-and-drop visualizations. What would usually take me hours/days in Excel I can do in a few minutes in Tableau.

Another advantage is that don’t need to have any programming/data experience like I did a few years ago! In fact, there is no programming to be done which is what makes this tool so desirable for beginners like you!

COURSE STRUCTURE

1. Tableau Desktop: 1 Hour Accelerator Program!

Connect to your Excel data using Drag-and-Drop

Basic Bar, Column, Line and Pie Charts

Colour Coding and Text Labels

One Click Calculations: Running Total, Moving Average and More

Building your first dashboard in seconds

Basic Formatting and Print to PDF/Image

2. Tableau Desktop: Beginner

Simple Charts: Pie, Bars, Area and Lines

How to Filter your data with a few clicks

Basic Arithmetic: Learn to add number fields together

Aggregates: Calculating Totals, Average, Maximum, Minimum, etc.

Another FREE eBOOK!!

3. Tableau Desktop: Intermediate

How to connect to data using Live and Extract methods

Cleaning Data: Splitting combined data into multiple columns

Create IF calculations, Rounding Numbers, Absolute Formula

How to extract letters/numbers from left and right side of text

Trimming extra spaces

Quick Table Calculations: Running Total, Percent of Total, Rank

Build maps in seconds using the double-click method

Create forecasts using drag-and-drop

Create interactive dashboards

4. Tableau Desktop: Expert

Add data to another table easily UNIONS

JOINS: Combine two tables together using a common field

Create a Reference and/or Trend line anywhere on your visualization

Use parameters to change values on the fly

Create sets to group your data for further analysis

Learn new visualizations such as Histograms, Funnels, Donuts, Dot Time, Jitter and more

Add additional views for Mobile and Tablet

6. Tableau Online – Cloud Platform for Data Sharing and Collaboration

Design an entire online site (Cloud) from scratch

Publish your dashboards to the Cloud

Learn collaboration filters such as subscriptions which send your dashboards to people on schedule everyday

Learn Alerts which send you an email when your charts reach a specific number

Manage an entire cloud platform and all it’s users

7. Tableau Prep – Data Cleansing that works 10 times faster than Excel

Combine similar terms together under one heading using “Group and Replace”

Convert all text to upper case or lower case in one click

Remove extra white spaces from the beginning or end of data

Join data together simply by dragging and dropping one on top of the other

Add data together by dropping one data underneath the other in one click

Create a flow that remembers how to clean so you can just press PLAY tomorrow and it will clean it for you just the way you told it to

Sign up today! It’s no risk to you with Udemy’s 30-day Money Back Guarantee, No Questions Asked!

Looking to get ECBA®, CCBA®, or CBAP® certified or recertified? - This course qualifies for 7.5 PD Hours/CDUs!

THE ULTIMATE FOUNDATIONAL COURSE – LEARN THE CORE BUSINESS ANALYSIS KNOWLEDGE YOU CAN BUILD UPON AND START YOUR CAREER IN BUSINESS ANALYSIS THE RIGHT WAY.

Set yourself up for success and learn the key concepts you’ll need to thrive in your Business Analyst career!

With over 10 years working as, hiring, and managing Business Analysts, I’ve gained a lot of valuable experience and knowledge. And today, I want to share that information with you. I’ll help you take the first step in a long and productive career in business analysis.

In this course, I have condensed everything I’ve learned in all my years working in the industry into a comprehensive guide to the basic elements that make up the most important tool in any Business Analyst’s career – your foundational knowledge.

Building a successful future without a strong foundation is an impossible task…

But when you have one in place, it’ll give your career the strongest possible start, and put you in a position to take the fullest advantage of the opportunities and experiences that come your way and achieve the success you’re dreaming of!

So, whether you’re an aspiring Business Analyst or one that’s new to the role – let this course be the first step of a lucrative and satisfying career.

Course enrollment grants you lifetime access, with no expiration, to all the course lectures, activities, handouts, and quizzes. In addition, you’ll also receive 1-on-1 support for any questions or uncertainties that come up. And this all comes with a money-back guarantee. You have nothing to lose and so much to gain.

Just ask the students who’ve already taken this course:

"The pace is perfect for those who are actively engaged, and there is a lot of value in the lectures, activities, and additional resources provided. I wholeheartedly recommend this course." – Kenni

“The course is just awesome! Tbh [to be honest], I did not expect much from the online course and was really surprised when it turned out to be sooo interesting. The information is well-structured and divided into sections which makes it really easy to understand and grasp the important points. I enjoyed the way Jeremy conducts the lectures and truly hope to enroll into some more of his courses in future! Thanks a ton” - Nataliia

“Great quality work. I like how Jeremy breaks everything down, so it's understandable even if you don't have any background in the business analysis. Awesome courses!!!” - Oleg

Why be a Business Analyst in the first place?

1. Potential Earnings – Let’s be honest it’s the main reason we work in the first place. So, you’ll be happy to hear that a typical Business Analyst (BA) earns over $78,000 per year. And that is only the average. Work hard, continue to increase the value you provide, and just imagine how much you could end up making!

2. Market Growth – The Business Analysis job market is expected to grow at a rate of 19% over the next 10 years, so get in now and take advantage of an industry that’s on the rise. In fact, per the US Bureau of Labor Statistics, American employers will need 876,000 business analysis-related professionals in 2020. It is a great time to be versed in business analysis!

3. Career Springboard – The skills you learn as a Business Analyst are crucial to a host of many other professions, everything from IT to Business. This career path isn’t just a job, it’s an investment in your future.

4. Use Existing Industry Knowledge – Similarly, the skills you’ve learned outside of the business analysis world are highly valued in the industry – so rather than starting anew, you can be put your experience to good use.

5. It’s Never Boring – With new projects always on the horizon, and different challenges to tackle each day, the role of a Business Analyst never grows stale.

So if you’re looking for a challenging and rewarding career, I highly encourage you to take a serious look into business analysis!

What exactly is included in this course?

- Business Analysis basics – learn what a Business Analyst is, what they do, and how they do it

- A breakdown of six project methodologies including traditional Waterfall and Agile frameworks

- Learn how to properly initiate a project by learning how to create a business case that aligns with business objectives

- Understand the basics of project requirements and six of the popular techniques used to elicit those details from your stakeholders

- Gain an overview of various modeling diagrams to help you recognize and understand project documentation

- Conduct requirement specification - including categorizing, deriving (breaking apart), prioritizing, and validating

In addition to all the tools you’ll need to start planning the project, you’ll also get a foot into the field by way of an industry expert…

I’m not just the instructor who wrote this course, I will also act as both a resource and a mentor to guide you to a long and rewarding career in Business Analysis!

This is what my students had to say about the content of this course:

"The course is awesome, didn't see similar before. Like how Jeremy explains, how he highlight key points and how he provide us by different types of a very useful templates, which we can use in our daily job. Really, excellent course, and will wait with a big impatience for another ones. Highly recommended for everybody who wants to become an experienced business analyst. Jeremy and his courses will definitely help you to achieve your goal!" - Aykhan

“If I had to rate this […] I would give 10 out of five!! this is one of the great lectures I have ever had. Extremely satisfied and learnt a lot!! Thanks Jeremy!!” – Swati

“Great inside knowledge from Jeremy, clear and concise. Explains Business Analysis concepts in a way that is easy to understand and gives a solid base of the fundamentals.” - German

Still Unsure?

I understand – you’re a Business Analyst at heart and you like to have all the information at hand before making a decision… so here’s a list of extra bonuses that are included, as part of your enrollment to the course:

- A Business Requirements Document (BRD) Example Template – so you can utilize your newly learned requirement documentation skills. Documenting requirements into a template like a BRD will play an integral part of your day-to-day as a Business Analyst.

- A Business Case Template – Organize your thoughts and sell the value of your project by using our intuitive and easy to follow template

And if you’re still not sure – here’s my promise to you:

This course comes with a money-back guarantee! That means, if you aren’t completely satisfied with your purchase, I’ll give you a refund – no questions asked!

By the end of the course, you’ll have the knowledge and the means to apply that knowledge, to not only become a Business Analyst – but to excel at it.

So, if you have any interest at all in making your career as a Business Analyst a successful one, enroll today, and get started learning the fundamentals of the job today!

Power BI Masterclass - beginners to advanced - Microsoft Power BI - How to master self service business intelligence in no time. Power BI Training online

Microsoft Power BI in 6 hours beginners to advanced

Business Intelligence / Business Analytics is in high demand. Companies are constantly searching for ways to make better and faster decisions. Therefore they rely heavily on data. Data driven decision making is the key to success for any business in the world of tomorrow.

Because of that companies are constantly searching for skilled employees and freelancers with the necessary capabilities to help with analyzing data and creating valuable highly profitable insights. This will be the key advantage to succeed in business.

MS Power BI is an andvanced yet easy to get started self service business analytics / business intelligence solution provided by Microsoft which is currently in very hot demand. From my personal experience I can tell you that companies will actively searching for you if you master Power BI. Diving into data & analytics can not only immensly improve your career opportunities but also your job satisfaction!

Power BI is also a great tool for datascience too. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore learning to use this tool can also be a valuable skill for datascience jobs.

That is why I created this course to help you get started to dive into on of the hottest and best business analytics / business intelligence software currently out there. Starting from scratch we will learn all the relevant PBI basics and also master more advanced concepts step by step. Power BI has a very strong active community and with Microsoft pushing this solution to it's enterprise customers, Power BI has a bright future ahead. And you can be part of this future!

There is no coding required! Power BI allows you to do that but it's not necessary.

In this guided learning course you will start form zero to hero in 6 hours and you will learn:

the ETL capabilities of Microsoft Power BI ("get messy data easily into the right format")

Master simple and very advanced DAX (Power BI language, similar to like excel formulas) calculations

Create outstanding visualisations and reports

Derive valuable highly profitalbe insights

What we learn in this course might also help you later with your Power BI certification exam.

You can follow along with the provided learning material in Power BI on your own computer at your own pace. Much better then only reading a book right? Exited? You should be. So how to learn Microsoft Power BI Desktop? Buckle up and meet me in the first lecture starting today!

Update: The complete Power BI Masterclass Series on udemy

1.Power BI Masterclass - beginners to advanced

2.Microsoft Power BI Masterclass - Expand Excellence

3.Power BI Masterclass - Data Analysis Deep Dive

4.Business Intelligence with Microsoft Power BI

5.Power BI Masterclass - DAX, Excel And More

6.Power BI Masterclass - Your future in data analytics

7.Power BI Masterclass - Learn Advanced DAX, R and Gateways

8.Power BI Masterclass - Python, Finance and advanced DAX

9. Power BI Masterclass - How to use CALCULATE in DAX

Tips and Tricks courses:

10. The Power BI Masterclass - Tips and Tricks

11. The Power BI Masterclass - Additional Tips and Tricks

12. Power BI - Tips for your next data analytics project

13. Microsoft Power BI Desktop - simple tips and tricks edition

14. Power BI Desktop - Data Prep Challenges

15. Power BI Masterclass - the next level

 The complete Masterclass Series which covers all relevant features in Power BI consists of 13 courses now. This one is the first.The other  consecutive classes are available here on udemy.  Each course covers additional DAX insights, Power BI features, tips and tricks and best practices in report creation. If you find this course helpful then feel free to check them out as well. You can easily find them by checking out my Instructor profile.

best regards and happy learning.

Who this course is for:

You want to become better at your job OR explore a new career opportunity

You want to master self service bi

You want to get valuable insights from you data

You want to be in high demand (as employee or freelancer)

You want to succeed in the working world of tomorrow

You want to create stunning visualizations to impress management or your coworkers

You want to stand out from the crowd

You want to learn and to improve