Data Analytics with Python & Power BI Course in Jaipur
Turn business questions into clear analysis, reports and dashboards. Work through data cleaning, Excel, SQL, Python, statistics and business-intelligence tools, while keeping this page focused on analyst and reporting workflows rather than machine-learning model development.
- Practical learning
- Project practice
- Jaipur
Data Analytics with Python & Power BI
Build your foundation in Data Analytics with Python & Power BI
Turn business questions into clear analysis, reports and dashboards. Work through data cleaning, Excel, SQL, Python, statistics and business-intelligence tools, while keeping this page focused on analyst and reporting workflows rather than machine-learning model development.
Who can join?
Students, graduates and working professionals interested in analytical work. Basic computer and spreadsheet familiarity helps; programming topics start with Python foundations.
Skills and tools
Course curriculum
Explore the learning outline below. Confirm the detailed syllabus and module coverage for your chosen batch with the course team.
Statistics for analysis
Explore descriptive statistics, distributions, correlation, sampling and hypothesis-testing concepts.
Excel and data cleaning
Use formulas, validation, pivot tables and charts to prepare and explore tabular data.
SQL
Query and combine relational data to answer analytical questions.
Python foundations
Practise Python basics and apply programmatic workflows to data preparation and analysis.
Visual analytics
Choose charts, filters and calculations for useful Tableau and Power BI reports.
Power BI reporting
Work with table relationships, DAX, dashboards and publishing workflows.
Project practice ideas
Use these examples to discuss suitable practice work with your trainer.
Business analysis workbook
Clean a dataset, create a pivot-based summary and explain the business findings.
Interactive reporting dashboard
Build a dashboard with clear measures and filters, and present the decisions it supports.
Roles to explore
Build a portfolio and practise explaining your work. Role requirements depend on the employer, your skills and experience.
- Junior data analyst
- Reporting analyst
- Business intelligence trainee
Frequently asked questions
How is Data Analytics different from Data Science?
Data Analytics focuses on cleaning, querying, reporting, dashboards and communicating findings. Data Science goes further into predictive modelling and machine-learning techniques.
Does this Data Analytics course include Power BI?
Yes. The learning path includes Power BI relationships, DAX, reports and dashboards. Learners who want a narrower business-intelligence focus can also review the dedicated Power BI course page.
Who is this course for?
Students, graduates and working professionals interested in analytical work. Basic computer and spreadsheet familiarity helps; programming topics start with Python foundations.
How can I confirm fees, duration and batch timings?
Contact Groot Academy for the current syllabus, fees, duration and available learning modes before enrolling. These details depend on the selected course and batch.