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Beginner10 weeks

Python for AI & Data Science

Learn the language of AI — then use it on real data.

NumPy, Pandas, Matplotlib, and your first ML model.

What You'll Learn

Use NumPy for fast numerical computing and matrix operations
Load, clean, and analyse datasets with Pandas
Visualise data trends with Matplotlib and Seaborn
Understand core statistics: mean, median, variance, correlation
Work with real datasets in CSV, JSON, and via APIs
Build your first ML model with Scikit-learn
Understand train/test split, overfitting, and model evaluation

Course Curriculum

Week 1–2NumPy & Data Basics
  • NumPy arrays vs Python lists
  • Array slicing, indexing, broadcasting
  • Statistical functions: mean, std, sum
  • Working with random data
Week 3–4Pandas for Data Analysis
  • DataFrames and Series
  • Reading CSV and JSON files
  • Handling missing data (dropna, fillna)
  • GroupBy, merge, and pivot tables
Week 5–6Data Visualisation
  • Matplotlib: line, bar, scatter, pie charts
  • Seaborn: heatmaps, pair plots, violin plots
  • Visualising correlations and distributions
  • Storytelling with data
Week 7–8Intro to Machine Learning
  • What is ML? Types of ML
  • Feature engineering and selection
  • Linear regression with Scikit-learn
  • Model evaluation: MSE, R², accuracy
Week 9–10Capstone Projects
  • Real dataset exploration (Titanic, Iris, Housing)
  • End-to-end ML pipeline
  • Model tuning and hyperparameters
  • Project presentation and portfolio writeup

Projects You'll Build

Titanic survival analysis (EDA)House price predictor (linear regression)COVID-19 data visualisation dashboardIris flower species classifier

Tools & Technologies

Python 3.xNumPyPandasMatplotlibSeabornScikit-learnJupyter NotebookKaggle
Prerequisites
  • â–¸Python Fundamentals (or equivalent Python knowledge)
  • â–¸Basic understanding of functions and lists
Who It's For
  • â–¸School students (Class 10+)
  • â–¸College students (1st/2nd year)
  • â–¸Anyone transitioning into data science or AI

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Python for AI & Data Science

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10 weeks
Duration
Beginner
Level
Yes
Certificate
Online / Offline
Mode