Master Data Science & AI in 100 Days with Hands-On Projects, Real Case Studies, and Career-Ready Skills
“This course contains the use of artificial intelligence.”
What you’ll learn
- Master Python programming, statistics, and data handling as the foundation for Data Science & AI.
- Perform data cleaning, feature engineering, and exploratory data analysis (EDA) with real-world datasets.
- Build and evaluate machine learning models for regression, classification, clustering, and forecasting.
- Apply deep learning with Neural Networks, CNNs, RNNs, and LSTMs using TensorFlow/Keras..
- Work with Large Language Models (LLMs), practice prompt engineering, and explore generative AI use cases.
- Solve industry-level case studies such as churn prediction, sales forecasting, and recommendation systems..
- Develop an end-to-end capstone project with data pipeline, model, dashboard, and business insights.
- Build a portfolio and resume that showcase your skills and prepare you for career opportunities in Data Science & AI..
Course Content
- Phase 1: Foundations of Data Science (Days 1–20) –> 5 lectures • 51min.
- Phase 2 Data Wrangling & Exploration (Days 21–35) –> 4 lectures • 34min.
- Phase 3 Machine Learning Core (Days 36–55) –> 5 lectures • 45min.
- Phase 4 Applied ML & Projects (Days 56–70) –> 4 lectures • 32min.
- Phase 5 Deep Learning Foundations (Days 71–85) –> 4 lectures • 33min.
- Phase 6 Generative AI & Advanced Applications (Days 86–95) –> 5 lectures • 39min.
- Phase 7 Capstone & Future Path (Days 96–100) –> 4 lectures • 26min.
Requirements
“This course contains the use of artificial intelligence.”
This 100-Day Data Science & AI Program is a complete journey from foundations to advanced applications, designed to take you from beginner to career-ready professional. Across 100 days of structured learning, you will master Python programming, data handling, visualization, statistics, machine learning, deep learning, and generative AI.
Each phase of the program includes hands-on labs where you apply concepts to real-world datasets, building skills that go beyond theory. You will work on case studies in areas like customer churn prediction, sales forecasting, recommendation systems, and business automation, ensuring practical exposure to industry use cases.
The highlight of the program is the capstone project, where you design an end-to-end pipeline (data → model → dashboard → business insights) and present it as part of your portfolio. Along the way, you will also prepare a resume and personal brand that align with Data Science & AI roles.
By the end of this program, you will have:
• Completed 100 days of learning with a step-by-step roadmap.
• Built multiple portfolio-ready projects.
• Gained mastery through hands-on labs and applied case studies.
• Delivered a capstone project that demonstrates industry-ready skills.
• Positioned yourself for exciting career opportunities in Data Science, Machine Learning, and AI.
This course is not just about learning—it’s about transforming your skills into career growth and new opportunities.