Data Science
From raw data to predictive models — Python, statistics, machine learning and storytelling.
- Full curriculum access
- Live + recorded sessions
- Real-world capstone project
- Certificate of completion
- Job placement support
- Alumni community access
Secure payment · Instant access · 7-day refund policy
What you will learn.
Python for Data Science
4 wksSyntax, data structures, NumPy arrays and Pandas dataframes.
Statistics & Probability
4 wksDescriptive stats, distributions, hypothesis testing and inference.
Data Wrangling & EDA
4 wksCleaning, merging, feature engineering and exploratory visualisation.
Machine Learning
6 wksRegression, classification, clustering, model evaluation and tuning.
Deep Learning Intro
4 wksNeural networks, TensorFlow/Keras and applied computer vision or NLP.
Capstone & Deployment
4 wksModel deployment, dashboards and presenting findings to stakeholders.
Technologies covered.
What you need.
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