Data & AI
100% FREE
Intermediate
Data Science with Python — Basics to AI
Learn data analysis, visualization, machine learning and AI with Python. Real datasets, real projects.
👨💻
Miss Irfana Aslam
MS CS · Researcher & Developer · Competitive Programmer
📊
FREE
100% FREE
Full course · 14 lessons · 38 hours
This course includes
72 video lessons (38 hours)
10 Jupyter notebook projects
5 real Kaggle datasets
ML from scratch
Portfolio-ready
Your progress
0%
0/14 lessons
📚 What you'll learn
✓Analyse real datasets with Pandas and NumPy
✓Create stunning charts with Matplotlib and Seaborn
✓Build regression and classification models
✓Use scikit-learn for complete ML pipelines
✓Understand neural networks with Keras
✓Work with real Kaggle datasets
✓Build and deploy a complete ML project
✓Clean and preprocess messy real-world data
Course Curriculum
01
Python for Data Science
▾
Setting Up Jupyter & Anaconda
Video · 18:00
FREE
NumPy — Fast Array Computing
Video · 25:00
FREE
Pandas — DataFrames for Data Analysis
Video · 30:00
Data Cleaning — Handling Messy Real Data
Video · 28:00
02
Data Visualization
▾
Matplotlib — Charts and Dashboards
Video · 28:00
Seaborn — Statistical Visualizations
Video · 25:00
Project — Complete EDA on Titanic Dataset
Project · 60:00
03
Machine Learning
▾
ML Overview — Types, Workflow & Algorithms
Video · 22:00
Linear & Logistic Regression
Video · 30:00
Random Forest & Model Evaluation
Video · 28:00
Final Project — House Price Prediction ML Pipeline
Project · 90:00
04
Neural Networks & Deep Learning
▾
K-Means Clustering
Video · 22:00
Neural Networks with Keras
Video · 30:00
Final Capstone — End-to-End ML Project
Project · 90:00
🎓 Ready to get your certificate?
Complete all lessons to earn your BitWithBite completion certificate. Share it on LinkedIn and with employers.