Complete Data Science
- Guided Learning path to learn end-to-end Data Science / AI / ML
- Access to all 8 specializations
- Access to 20+ Industry Portfolio Project with real-world datasets
- 60+ exhaustive courses
- Crystal-clear video explanations
- In-depth and exhaustive concepts
- Intuition, Theory, Math, Code workous, and Exercises
- Unlockable certificate of completion
- 200+ practice exercises and interview questions
- Bonus: 30-day Interview preparation plan + syllabus
Programming for DS - Specialization
- Learn all Data Science programming languages
- Crystal-clear video explanations
- Fully solved hands-on workouts
- Core Python
- Python for Data Wrangling and Analysis: NumPy, Pandas, Matplotlib
- SQL Levels: I, II, III, IV
- Advanced Python Concepts
- Extensive practical exercises
- Jupyter notebooks with course notes and references
- Written code solutions
Math for ML - Specialization
- Essential math required for Data Science / AI / ML
- Linear Algebra
- Statistics and Probability
- Calculus (TBU)
- Course Notes with Jupyter Notebooks
- 60+ Exhaustive Video Lessons with code alongs
- Tough Concepts Explained in Simple English
- Concepts + Corresponding Code
- Coding Assessments
- Illustrative Diagrams and Board Drawings
Machine Learning - Specialization
- 9 In-Depth Courses on ML
- Crystal-clear video explanations
- Math, Intuition, Theory, and hands-on code alongs
- Basic and advanced topics explained clearly
- Dedicated in-depth linear and logistic regression courses
- Advanced algorithms
- Explainable AI techniques
- Fixed and mixed-effects models course
- Illustrative diagrams and board drawings
- Jupyter notebooks with Course notes and references
- 30+ Mini Projects
ML Ops - Specialization
- Hands-on AWS Walkthrough
- In-depth SageMaker for ML course
- Practical deployment of AI on the cloud
- Exhaustive PySpark Courses (All 5 Levels)
- Advanced course on deploying ML on AWS Lambda
- Illustrative diagrams and board drawings
- Unlockable Certificate of success
- Comprehensive video explanations
- Coding assessments
- Written code solutions
Time Series Forecasting - Specialization
- 8 in-depth Time series Analysis and Forecasting courses
- Learn from years of industry expertise
- Hands-on coding walkthroughs
- Concepts, Intuition, Theory, and Coding exercises
- Comprehensive video explanations
- Detailed written walkthroughs
- Unlockable Certificate of completion
- Beginner to advanced Time Series Analysis techniques
- Time Series Forecasting projects
- Fully worked-out Jupyter notebooks and course notes
Industry Projects - Specialization
- 20+ Fully solved Portfolio projects
- Unlockable Certificate of completion
- Project courses for multiple domains
- Data Science projects in Marketing, Manufacturing, Finance,and e-Commerce
- Deep Learning projects
- Comprehensive video explanations
- In-depth data analysis
- How to present results
- Multiple strategies to tackle problems
- Strategies for client buy-in
- Fully worked-out Jupyter Notebooks and course notes
Deep Learning - Specialization
- 6+ Deep Learning Courses
- PyTorch Implementations
- 80+ comprehensive video lessons
- Fully solved Deep Learning industry Projects
- Hands-on tasks for Practice
- Application of PyTorch in Deep Learning
- Access to Practice Datasets
- Concept, theory, and math behind AI models
- Build your first AI application
- Build portfolio projects
- Unlockable certificate of completion
Generative AI - Specialization
- Build Generative AI projects on the cloud
- Comprehensive LangChain course
- Complete AWS Bedrock Course
- Exhaustive videos explanations
- Fully reproducible code and templates
- Advanced RAG strategies
- Access to all notebooks and codes
- Hands-on coding
- Illustrative drawings and architecture diagrams
- Crystal-clear video explanations
- Unlockable certificate of completion
Supplementary Courses
- Learn R programming
- Advanced concepts walkthrough
- Build Statistical foundations
- NLP using SpaCy
- Model training using Caret in R
- Fully solved notebooks and code
- Comprehensive R video course
- Hands-on tasks for Practice
- Analytics and statistics with R
- Certificate of Completion
- Written code solutions