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Home └T123 Python for Data Science 20260505T122238Z
T123 Python for Data Science 20260505T122238Z

T123 Python for Data Science 20260505T122238Z

Working professionals learn Python for data science — pandas DataFrames, numpy arrays, scikit-learn fundamentals (train/test split, regression, classification), matplotlib visualisation, and a small end-to-end project on a public CSV dataset.
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Last Update 05.05.2026
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  • Data Manipulation with Pandas
    8Lessons ·
    • Introduction to Pandas
    • Introduction to Pandas
    • Data Cleaning Techniques
    • Data Cleaning Techniques
    • Data Manipulation with Pandas
    • Data Manipulation with Pandas
    • Visualizing Data with Pandas
    • Visualizing Data with Pandas
  • Numerical Computation with NumPy
    8Lessons ·
    • Introduction to NumPy
    • Introduction to NumPy
    • Array Operations
    • Array Operations
    • Mathematical Functions in NumPy
    • Mathematical Functions in NumPy
    • NumPy in Data Science
    • NumPy in Data Science
  • Introduction to Machine Learning with Scikit-Learn
    8Lessons ·
    • Machine Learning Basics
    • Machine Learning Basics
    • Train/Test Split
    • Train/Test Split
    • Linear Regression
    • Linear Regression
    • Classification Techniques
    • Classification Techniques
  • Data Visualization with Matplotlib
    8Lessons ·
    • Introduction to Matplotlib
    • Introduction to Matplotlib
    • Creating Basic Plots
    • Creating Basic Plots
    • Customizing Plots
    • Customizing Plots
    • Integrating Matplotlib with Pandas
    • Integrating Matplotlib with Pandas
  • Capstone Project: End-to-End Data Science
    8Lessons ·
    • Project Planning and Dataset Selection
    • Project Planning and Dataset Selection
    • Data Cleaning and Preparation
    • Data Cleaning and Preparation
    • Model Implementation and Evaluation
    • Model Implementation and Evaluation
    • Presenting Findings
    • Presenting Findings