Introduction to Data Analytics
Excel for Data Analytics (with Power Query)
SQL for Data Extraction & Databases
Python for Data Analysis
Business Statistics & Applied Analytics
Data Visualization (Power BI, Tableau & Looker Studio)
Data Storytelling & Presentation Skills
AI / ML Concepts
Strategy
And More Advanced Concepts
Project Management
Projects Works
Tools / Software
Microsoft Excel, Google Sheets
MySQL, PostgreSQL, SQLite
Python
Python Libraries: -
Pandas, NumPy, Matplotlib, Seaborn, Statsmodels.
Power BI, Tableau, Google Looker Studio
Excel Power Query, Power BI Power Query
Git, GitHub, Google Drive
Project Tools: - Kaggle, Notion, Trello
After completion of the course student will have to create demo project,
Get project certificate & internship experience
You can become a Data Analyst, Business Analyst,
Marketing Analyst, and Operation Analyst
24000 /- 
