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⇱ 21-Day Business Analysis Bootcamp with Python & Power BI | Coursera

21-Day Business Analysis Bootcamp with Python & Power BI

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21-Day Business Analysis Bootcamp with Python & Power BI

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Master business analysis techniques, including process mapping, risk management, and prioritization.

  • Learn how to leverage Power BI to create data visualizations for decision-making.

  • Analyze data effectively using Python for meaningful business insights.

  • Understand business analysis concepts and their application in various industries.

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Recently updated!

May 2026

Assessments

7 assignments

Taught in English

There are 6 modules in this course

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This bootcamp will provide a comprehensive understanding of Business Analysis, integrating Python and Power BI to drive actionable insights in business decisions. From defining business analysis principles to applying advanced techniques using Python and Power BI, learners will develop core analytical skills to evaluate data, solve business problems, and forecast future trends. Throughout the course, learners will explore essential topics such as process mapping, risk management, and prioritization techniques. The journey begins with understanding the basics of business analysis and progresses towards applying data-driven insights using advanced analytics tools. You'll also learn to use Python for business insights and leverage Power BI for data visualization, making data analysis more interactive and insightful. The course is ideal for aspiring business analysts, professionals looking to level up their skills, or anyone interested in integrating data science with business decision-making. Some familiarity with data concepts is recommended, but no prior experience with Python or Power BI is necessary. By the end of the course, you will be able to conduct business analysis, apply Python for business insights, analyze data with Power BI, and effectively communicate findings to stakeholders.

In this module, we will introduce the foundational concepts of Business Analysis (BA), exploring its scope and differentiating it from Data Analysis. You’ll learn how BA applies to software development and other industries, and the importance of storytelling in conveying complex ideas. The module covers the entire BA process, including steps, case studies, and managing biases in decision-making.

What's included

7 videos1 reading

7 videos•Total 29 minutes
  • What is BA and What is not BA•7 minutes
  • Business Analysis Vs Data Analysis•3 minutes
  • Business Analysis in Software Vs Other Industries•4 minutes
  • Story Telling•4 minutes
  • Steps in Business Analysis•5 minutes
  • Case Study•4 minutes
  • Confirmation Bias•2 minutes
1 reading•Total 10 minutes
  • Full Course Resources•10 minutes

In this module, we will dive into the foundational practices of Business Analysis. You will learn how to create a project charter, map business processes, and apply elicitation techniques to gather critical requirements from stakeholders. By the end of the module, you will be equipped with the tools to initiate and structure successful business analysis projects.

What's included

9 videos1 assignment

9 videos•Total 40 minutes
  • Project Charter•4 minutes
  • Process Mapping•6 minutes
  • Elicitation Techniques•5 minutes
  • Snapshot of Visual Tools in Business Analysis•5 minutes
  • Prioritization Techniques•4 minutes
  • Risk Management•5 minutes
  • Best practices from Agile•3 minutes
  • Business Intelligence and Augmented Analytics•3 minutes
  • Business Analysis - Process Mapping with SIPOC•6 minutes
1 assignment•Total 15 minutes
  • Business Analysis - Assessment•15 minutes

In this module, we will focus on understanding data to derive meaningful insights. You'll learn how to choose the right metrics to represent business reality and uncover key relationships, risks, and patterns within the data. By comparing actual vs. expected performance, you will be able to make informed decisions and anticipate future outcomes for effective planning.

What's included

10 videos1 assignment

10 videos•Total 62 minutes
  • Choosing the Right Measure to Represent Business Reality•5 minutes
  • Distinguishing Signal from Noise in Business Data•3 minutes
  • Identifying Risk•6 minutes
  • Exploring Cause and Effect Relationships•9 minutes
  • When Partial Data is Sufficient for Decision Making•4 minutes
  • Analyzing Delays and Backlogs•8 minutes
  • Comparing Actual vs. Expected Performance•9 minutes
  • Evaluating Business Scenarios and Trade-offs•7 minutes
  • Spotting Unusual Behaviour and Themes in Business Data•7 minutes
  • Anticipating Future Outcomes for Planning and Decisions•4 minutes
1 assignment•Total 15 minutes
  • Understanding the Data - Assessment•15 minutes

This module focuses on problem-solving approaches in Business Analysis. You will explore the crucial concepts of cause and effect and learn to identify root causes of issues, not just symptoms. Additionally, you will learn how to use the Pareto Principle to prioritize business challenges and focus on the most impactful problems that require your attention.

What's included

3 videos1 assignment

3 videos•Total 15 minutes
  • Understanding Cause and Effect•7 minutes
  • Cause Vs Root Cause•5 minutes
  • Prioritizing with Pareto•3 minutes
1 assignment•Total 15 minutes
  • Problem Solving Approaches - Assessment•15 minutes

In this module, we will explore the power of Python for business analysis. You will learn how Python can transform raw data into actionable business insights and apply it to analyze cause-and-effect patterns in your data. This section provides the tools to enhance your analysis capabilities, enabling you to make data-driven decisions with Python.

What's included

4 videos1 assignment

4 videos•Total 30 minutes
  • Exploring The Possibilities•8 minutes
  • Metrics to Meaning with Python•9 minutes
  • Analyzing Cause and Effect Patterns•9 minutes
  • Qualitative Insights•4 minutes
1 assignment•Total 15 minutes
  • Applying Python for Business Insights - Assessment•15 minutes

In this module, you will learn how to use Power BI for data analysis. You will go through the steps of downloading, transforming, and visualizing data using various Power BI tools. Additionally, you will learn how to create impactful dashboards and publish reports to effectively share business insights with stakeholders.

What's included

16 videos3 assignments

16 videos•Total 75 minutes
  • Power BI Download•3 minutes
  • Introducing the Power BI Tool•5 minutes
  • Loading the Data•6 minutes
  • Data Transformation•7 minutes
  • Text Box•2 minutes
  • Card Visual•6 minutes
  • Stacked Column Chart•4 minutes
  • Multi Row Card•4 minutes
  • Tree Map•3 minutes
  • Pie Chart•3 minutes
  • Dual Axis Chart (Line and Stacked Column Chart)•7 minutes
  • Ribbon Chart•3 minutes
  • Slicer•5 minutes
  • Funnel Chart•2 minutes
  • DAX•9 minutes
  • Publishing the Report•4 minutes
3 assignments•Total 105 minutes
  • Data Analysis Using Power BI - Assessment•15 minutes
  • Full Course Assessment•60 minutes
  • Full Course Practice Assessment•30 minutes

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Frequently asked questions

Business Analysis (BA) is the practice of identifying business needs and finding technical or process-related solutions. In this course, BA principles are applied to a variety of real-world scenarios to help learners understand the process of analyzing business operations, identifying risks, and improving efficiency. The course focuses on using BA tools to drive business decisions through data and process mapping.

Business Analysis focuses on identifying and solving business problems, determining solutions, and improving business processes. Data Analysis, on the other hand, is more focused on collecting, processing, and analyzing data to extract actionable insights. While both can overlap, Business Analysis is broader and includes understanding the business context and aligning solutions with business goals.

Python is a versatile programming language used for automating tasks, performing advanced data analysis, and generating insights from raw data. In this course, Python is applied to transform raw metrics into actionable business insights, analyze cause-and-effect patterns, and generate qualitative insights from business data.

This course covers both Python and Power BI, which are powerful tools for data analysis. Power BI is used for business visualization, including creating dashboards, reports, and performing data transformations, while Python is leveraged to process and analyze business data, extract insights, and handle larger datasets efficiently.

This course is designed for individuals who are looking to break into Business Analysis or improve their skills in both data analysis and visualization. It’s especially valuable for those who wish to integrate technical tools like Python and Power BI into their business analysis workflow for more insightful and data-driven decision-making.

The course is approximately 4 hours long, providing a solid introduction to Business Analysis, Python, and Power BI. It is structured across three weeks, each focusing on essential skills like process mapping, data analysis, and business insights.

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,