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Data Science

Data & AIIntermediate48 Hours

A comprehensive Data Science course that takes students from raw data to actionable insights. Covers the full data science pipeline: data collection, cleaning, exploration, visualization, statistical analysis, feature engineering, machine learning introduction, and reporting. Uses Python's core data science stack: NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn. Prepares students for data analyst and junior data scientist roles.

What You'll Learn

  1. 1Data Science Overview & Tools Setup
  2. 2Python for Data Science
  3. 3Data Collection & Import
  4. 4Exploratory Data Analysis
  5. 5Data Cleaning
  6. 6Statistical Foundations
  7. 7Data Visualization
  8. 8Feature Engineering
  9. 9Introduction to Machine Learning
  10. 10Supervised Learning Models
  11. 11Unsupervised Learning
  12. 12Model Evaluation, Reporting & Ethics