Data Science & Analytics
Data & AI
- Duration
- 6 Months
- Level
- Beginner → Advanced
- Mode
- Classroom + Live Online
Data Science & Analytics
Turn raw data into decisions with Python, SQL, statistics, Power BI and machine learning.
Every company runs on data. Learn to clean, analyse and visualise data, build predictive models and present insights that leaders act on.
You work on real datasets from retail, finance and healthcare and finish with a portfolio of case studies and dashboards.
What you’ll learn
- Analyse data with Python, Pandas and NumPy
- Write powerful SQL queries
- Apply statistics to business problems
- Build dashboards in Power BI and Excel
- Train machine-learning models
- Tell clear stories with data
Tools & technologies
- Python
- Pandas
- NumPy
- SQL
- Excel
- Power BI
- Tableau
- scikit-learn
- Jupyter
Curriculum
6 modules- Advanced Excel
- Descriptive statistics
- Probability
- Hypothesis testing
Projects you’ll build
- 01Sales performance dashboard
- 02Customer churn prediction
- 03HR attrition analysis
- 04Stock trend analysis
Where this leads
- Data Analyst
- Business Analyst
- Data Scientist
- BI Developer
- MIS Executive
Who can join
Graduates or final-year students from any stream. Basic maths is helpful.
