Data Science & Analytics
Python, Pandas, ML, SQL & Power BI. The full data science stack with real-world projects.
- ✓ Live mentor-led sessions
- ✓ Lifetime recording access
- ✓ Hands-on real projects
- ✓ Industry certificate
- ✓ 95% placement support
- ✓ 0% EMI available
📊 Data Science & Analytics
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Course Overview
Data is the new oil, and skilled data professionals are among the best paid in tech. This comprehensive course covers the full stack — Python, SQL, statistics, machine learning, and visualization with Power BI — through hands-on projects that build a job-winning portfolio.
What You'll Learn
Course Curriculum
Python & Stats
- Python for data
- NumPy & Pandas
- Statistics & probability
SQL & Data Wrangling
- SQL querying & joins
- Data cleaning & EDA
Machine Learning
- Supervised & unsupervised ML
- Model evaluation & tuning
- Scikit-learn in practice
Visualisation
- Power BI dashboards
- Storytelling with data
Capstone
- End-to-end ML project
- Kaggle-style challenge
- Portfolio & interview prep
Tools & Technologies
Industry tools you'll master and add to your resume.
Hands-On Projects
Build portfolio projects that show employers you can deliver.
Customer churn prediction model
Sales analytics dashboard
End-to-end ML pipeline
Who Is This For?
Frequently Asked Questions
No. Each course starts from the fundamentals and progresses to advanced, job-ready skills. Beginners are welcome.
Both. You get live mentor-led sessions plus lifetime access to recordings and a community for doubt-clearing.
Yes — resume reviews, mock interviews, and access to our hiring partner network are included.
Yes, you receive an industry-recognised course completion certificate, plus guidance for official certifications where applicable.
Flexible 0% interest EMI options are available, along with a 7-day money-back guarantee.
Ready to Start Your Data Science & Analytics Journey?
Book a FREE 30-minute counseling session with our career experts. Get a personalised roadmap, fees & batch details — no pressure.