About Course

This Data Science & Machine Learning course is designed to transform beginners and intermediate learners into proficient data scientists. You will gain hands-on experience in data analysis, visualization, statistical modeling, and machine learning algorithms using Python and real-world datasets. By the end of this course, you will be able to extract insights from data, build predictive models, and make data-driven decisions for businesses or research projects.

What Will You Learn?

  • Data Analysis & Visualization: Learn to clean, manipulate, and visualize data to extract meaningful insights.
  • Machine Learning Models: Understand supervised, unsupervised, and reinforcement learning techniques.
  • Programming for Data Science: Master Python libraries like NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
  • Real-World Projects: Apply skills to solve real-world problems like sales prediction, customer segmentation, and recommendation systems.

Course Content

Curriculum / Modules

  • Module 1: Introduction to Data Science & Machine Learning
  • Module 2: Python for Data Science
  • Module 3: Statistics & Probability
  • Module 4: Data Preprocessing & Feature Engineering
  • Module 5: Supervised Learning
  • Module 6: Unsupervised Learning
  • Module 7: Advanced Machine Learning & AI Concepts
  • Module 8: Real-World Projects & Case Studies

Student Ratings & Reviews

No Review Yet
No Review Yet