The Business Analytics course euips learner with the skills to interpret data and make informed business decisions. It covers key concepts such as data analysis, data visualization, statistical methods, and predictive modelling. Learners gain hands-on experience with tools like Excel, SQL, Power BI, and Python to analyse business trends, identify performance gaps, and generate actionable insights. The course emphasizes real world applications through case studies and projects, preparing participants for roles in data-driven decision making across various industries.
| DURATION - ONE YEAR |
DURATION - TWO YEARS |
| CURRICULUM OF CORE & ADVANCE PYTHON |
|
| 1.Getting started |
31. Seaborn |
| 2. Python Fundamental |
32. Web Scraping |
| 3. Data Handling |
33. Introduction to ML |
| 4. String Manipulation |
34. Projects |
| 5. List Manipulation |
35. Note : Prerequisties |
| 6. Tuples |
CURRICULUM OF SQL |
| 7. Dictionaries |
1. Retrieve Data Using the SQL Select Statement |
| 8. Set & Frozen set |
2. Learn to Restrict and Sort Data |
| 9. Operators |
3. Usage of Single-Row Functions to Customize output |
| 10. Program Control Flow |
4. Invoke Conversion Functions and Conditional Expressions |
11. Introduction to Functions
(Built in functions) |
5. Aggregate Date Using the Group Functions |
| 12. User Defined Functions |
6. Display Data from Multiple Tables using Joins |
| 13. Recursion Functions |
7. Use sub-queries to Solve queries |
| 14. Modules & Packages(Built in Modules) |
8. The set operators |
| 15. User Defined Modules |
9. Data Manipulation Statement |
| 16. File Operations (Text & Bytes Files) |
10. Use oF DDL Statements to Create and Manage Tables |
| 17. Format Classes & Objects |
11. Other Schema Objects |
| 18. Exception Handling |
12. Control User Access |
| 19. Introduction to OOPS |
CURRICULUM OF POWER BI |
| 20. Databases 6. Dashboards |
1.Introduction |
| 21.GUI Programming |
2. Sign up for Power BI |
| 22. Revisiting Python |
3. The Power BI Desktop |
| 23. Introduction to Data Analytics |
4. Creating Reports in Power BI Desktop |
| 24. Library for Data Analytics |
5. Visualization & Graphics |
| 25. Statistics |
6. Dashboards |
| 26. Jupiter Notebook |
7. Dax fORMULAS |
| 27. Nurnpy |
8. Dax Measures |
| 28. Scipy |
9. Power BI Editors |
| 29. Pandas |
10. Relationships |
| 30. Matplotlib |
11. Corona Case Study |
JOB OPPORTUNITIES:
Business Analyst, Data Analyst, Marketing Analyst, Reporting Analyst, MIS Executive, Data Consultant
INDUSTRIES: IT & Software, Healthcare, E-commerce, FMCG & Retail, Consuting Firms, Edtech & Startups