Data Science & Machine Learning A–Z
Learn Python, statistics, data visualisation, machine learning and deep learning — with real datasets and hands-on labs.
4.6(8.2K)1.3L studentsBy Dr. Meera KrishnanIntermediateEnglish
What you'll learn
- ✓Analyse and visualise data with Python, Pandas and Matplotlib
- ✓Apply statistics and probability to real problems
- ✓Build and evaluate machine-learning models with scikit-learn
- ✓Understand neural networks and deep learning with TensorFlow
- ✓Tackle classification, regression and clustering tasks
- ✓Communicate insights with compelling data stories
Course content4 sections · 13 lectures · 5h 28m
- Course roadmap & toolkit7m 30s
- NumPy & Pandas essentials24m 10s
- Cleaning messy real-world data26m 48s
Requirements
- Basic Python is helpful but a refresher module is included
- High-school level mathematics
- Anaconda / Jupyter (free) — setup guide provided
Instructor
D
Dr. Meera Krishnan
Data Scientist, PhD (Machine Learning)
Student reviews
Sara Lee5.0
Best ML course for the price. Datasets are realistic and the labs really cement the concepts.
Marco Rossi4.0
Dr. Krishnan is a fantastic teacher. The deep-learning part could be a bit slower, but overall superb.
Ananya Gupta5.0
Perfect balance of theory and practice. The churn-prediction project is something I now use at work.
