10 weeks
Advanced
⭐ 4.7 (89 reviews)
Data Science & Productization
End-to-end data pipelines, ML models, and model-to-product workflows.
👥 800+ students enrolled
📁 16+ projects
⏱️ 215+ Hours content
🌏 English
What You'll Learn
✓Analyse complex datasets
✓Build & deploy ML models
✓Create data visualisations
✓Handle big data technologies
✓Implement deep learning
✓Build NLP pipelines
Course Curriculum
Introduction to Data Science (4 hrs)
- What is Data Science?
- Data Science lifecycle (CRISP-DM)
- Key roles: Data Scientist, Data Analyst, ML Engineer
- Tools overview (Jupyter, Anaconda, Colab)
Preparatory Sessions – Python & Linux (2 hrs)
Data Wrangling with SQL (3 hrs)
Python With Data Science (4 hrs)
Linear Algebra and Advanced Statistics (5 hrs)
Machine Learning (3 hrs)
Supervised Learning (5 hrs)
Unsupervised Learning (4 hrs)
Deep Learning Using TensorFlow (5 hrs)
Data Science Capstone Project (5 hrs)
Business Case Studies (4 hrs)
Generative AI (5 hrs)
Power BI ·Elective (3 hrs)
Data Analysis With MS-Excel ·Self-paced course (5 hrs)
Choose Your Level
Intermediate
3 months
₹20,000
₹35,000
- ✓Machine Learning
- ✓Data Visualization
- ✓Real Projects
⭐ Most Popular
Complete Package
8 months
₹49,999
₹55,000
- ✓All Basic + Intermediate + Advanced
- ✓Lifetime Access
- ✓Job Placement Support
30-day money-back guarantee
⬇ Download Syllabus
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Rajesh Upadhyay
23+ years industry experience
1000+
Trainings
4.8
Rating
6
Courses