This course is designed to equip participants with the essential skills and knowledge needed to 
perform effective data analytics using Microsoft Power BI. Power BI is a powerful business 
analytics tool that allows users to visualize and analyze data, share insights across the 
organization, and make informed business decisions. The course covers fundamental concepts 
of data analysis, introduces participants to Power BI's interface and functionality, and guides them 
through the process of creating insightful reports and dashboards.

1.  Introduction to Data Analytics and Power BI

2. Data Import and Transformation 

3. Data Modeling and Relationships

4. Data Visualization Techniques

5. Advanced Data Analytics with DAX

6. Data Exploration and Insights

7. Advanced Data Transformations 

8. Advanced Data Visualization

9. Data Governance and Security

10. Power BI Service and Collaboration

11. Data Insights and AI Integration

12. Real-time Data Analytics

13. Advanced Data Analytics Projects 

14. Data Analytics Best Practices

15. Data Analytics Ethics and Privacy

16. Capstone Project: Comprehensive Data Analysis 



  • Suresh Kumar 32 Days ago

    Data Analytics with Power BI

    The importance and the utility of PowerBi for Data Analytics has been beautifully explained by the instructor. Overall a good starting point for newbies like me. Thanks Potenza

  • Pankaj Chand 32 Days ago

    Data Analytics with Power BI

    Top-notch marks for this particular course. It’s engaging, challenging and obviously interesting. Kudos to the instructor for such an amazing job

  • Ajay Narayan 34 Days ago

    Data Analytics with Power BI

    There were times where I was wondering “whether I’ll be able to do it or not” but I’m glad that I didn’t give up. Though I’m yet to complete the course, but I’m looking forward to it.

  • Sumit 31 Days ago

    Data Analytics with Power BI

    Recently I made a career change and am trying to adopt a Data analyst mindset. Came across this course and based on the syllabus, thought to give it a try. No regrets whatsoever.

Frequently Asked Questions.

Can I use Power BI for data analytics?

Yes! Power BI is a powerful business intelligence and data visualization tool for data analysts. It allows  you to transform data into clear and insightful reports and dashboards.

What is the role of Power BI in data analytics?

Power BI acts as a data analysis workbench. It helps data analysts visualize and analyze data and then create interactive reports and dashboards to communicate findings. It simplifies data exploration and makes insights accessible to a wider audience.

What is the difference between data analytics and Power BI?

Here's the difference between data analytics and Power BI:

  • Scope: Data analytics is a broad field encompassing various processes to collect, clean, analyze, and interpret data. Power BI is a specific tool used within data analytics for data visualization and exploration.

Focus: Data analytics focuses on extracting insights and knowledge from data. Power BI helps present those insights in an easy-to-understand visual format (reports, dashboards).

Which software is most used for data analysis?

There's no single "most used" software. This choice depends on the specific needs and functionalities required.   Excel is widely used for basic analysis but Power BI is gaining popularity for its user-friendly features and strong visuals. Python and R are powerful for complex analysis, and Tableau is another popular data visualization tool.

Which is the best data analytics tool?

There's no single "best" tool. The best choice depends on the type of data, the complexity of analysis, and your budget. Power BI excels in creating interactive data stories for clear communication.

What is the salary of Power BI data analyst?

Salaries vary based on experience, but Power BI skills can increase your earning potential as a data analyst.

Does data analytics have future?

Data analytics have a thriving future! The amount of data being generated is constantly growing, and data analysts will be even more crucial to organizations of all sizes.

What is the qualification of data analyst?

Strong analytical skills, problem-solving abilities, and communication skills are a must. Proficiency in data analysis tools (like Power BI and SQL ) is  plus Also a bachelor's degree in a relevant field (statistics, computer science, business) can be helpful.

Which language is required for a data analyst?

 SQL is a must-have skill for data analysts to retrieve and manipulate data. Python and R are increasingly valuable for advanced analytics and automation.

What is age required for data analyst?

Data Analyst roles are open to all ages! !  As long as you have the skills and passion for data, you can thrive in this field.