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Python Data Science - ML - AI, Gen AI, AWS & Power BI
Course description coming soon...
100% Placement
ISO Certified
Key Takeaways
What You'll Learn
Hands-on real-world projects, and domain knowledge to turn raw data into meaningful information, With powerful libraries like NumPy (for numerical computing), Pandas (for data manipulation), Matplotlib/Seaborn (for visualization), and Scikit-learn (for machine learning), Python makes it easy to clean data, explore patterns, and create data-driven solutions.
Industry-relevant curriculum
Placement assistance support
Lifetime access to materials
Interview preparation guidance
Curriculum
Course Content
01
Python Basics
22 Lessons
Syntax and fundamentals
02
Data Science
22 Lessons
NumPy, Pandas, Data Analysis
03
Machine Learning
22 Lessons
Scikit-learn, ML models
04
AI & Gen AI
22 Lessons
Intro to AI & Generative AI
05
AWS
22 Lessons
Cloud deployment basics
06
Power BI
22 Lessons
Data visualization
Course Structure
- 480+ hours of intensive training covering theory & practicals
- 50+ assignments and weekly assessments for progress tracking
- 8+ real-world capstone projects from actual industry scenarios
- Weekly mock interviews with industry professionals
- Live doubt-clearing sessions with mentors
- Lifetime LMS access to recorded sessions & materials
Career Support
- Dedicated Placement Cell working with 200+ hiring partners
- Resume building & LinkedIn profile optimization
- Soft skills training — communication, aptitude & GD
- Job referral program — direct referrals to top companies
- Alumni network of 10,000+ placed professionals
- Career counseling — 1-on-1 mentorship until placement
Your Mentor
Course Instructor
Sajay N J
Senior Python Developer
Python Django
Lija Salim
Full Stack .NET Developer
ASP.NET
Student Feedback
Student Reviews
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Based on 2,100+ reviews
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