Unlock the power of data! This comprehensive course takes you from fundamental data science concepts to building and deploying advanced machine learning models. Learn Python programming, data analysis with Pandas, visualization with Matplotlib/Seaborn, statistical foundations, and master popular ML algorithms like Linear Regression, Decision Trees, K-Means, and Neural Networks. Practical projects and real-world case studies ensure you gain job-ready skills.
09:00PM
10:00PM
Online Live Class
Time Remaining:
Starts On:
Aug 01, 2025
End Date:
Dec 31, 2025
Saturday, Sunday, Monday, Tuesday, Wednesday, Thursday
Lesson 1: Module 1: Introduction to Data Science & Python Basics
Lesson 2: Module 2: Data Preprocessing & Exploratory Data Analysis (EDA)
Lesson 3: Module 3: Statistical Foundations & Hypothesis Testing
Lesson 4: Module 4: Supervised Learning - Regression
Lesson 5: Module 5: Supervised Learning - Classification
Lesson 6: Module 6: Unsupervised Learning & Clustering
Lesson 7: Module 7: Introduction to Neural Networks & Deep Learning
Lesson 8: Module 8: Model Deployment & Best Practices
This intensive course is structured into 8 modules, covering theoretical concepts, practical coding exercises, and hands-on projects. Each module includes video lectures, code notebooks (Jupyter), quizzes, and supplementary reading materials. Students will build a portfolio of machine learning projects by the end of the course, including predicting house prices, classifying images, and building a recommendation system.