Core Data Science using Python
Exploratory data analysis and interactive visualisation, unsupervised learning, dimensionality reduction and feature extraction, supervised learning and more.
The course is extremely interactive and hands-on. You will learn by working through concrete problems with a real dataset. You will be taught by academic and industry experts in the field, who have a wealth of experience and knowledge to share
Languages and libraries :
PREREQUISITES
Elementary Python programming and use of the command line. You can acquire these skills at our Python bootcamp.
Basic probability and linear algebra.
AUDIENCE
Individuals who want to master new technical skills and learn the latest techniques and industry best practices to work effectively with Data Science teams.
Get in touch with us to learn about the course
DAY ONE
DATA SCIENCE ESSENTIALS
Session 1
Introduction to Data Science
- Overview of Data Science and Machine Learning
- Supervised vs. Unsupervised Learning
- Working with the Jupyter notebook
- The Numpy library for array manipulation
Session 2
Working with real-world data
- The Pandas library for data manipulation
- Data cleaning and pre-processing
- Data visualisation with Matplotlib and Seaborn
Session 3
Principal Component Analysis (PCA)
- What is PCA and why you need it
- Applying PCA in Python with SKLearn
DAY TWO
UNSUPERVISED LEARNING AND SUPERVISED LEARNING
Session 1
Unsupervised learning
- The scikit-learn library for Machine Learning and scikit-learn pipelines
- k-means clustering
- Hierarchical cluster analysis
- Density-based clustering (DBScan)
Session 2
Supervised Learning
- The k-Nearest Neighbour algorithm
- Overfitting, underfitting, bias-variance tradeoff
- Cross-Validation and hyperparameter tuning
DAY THREE
MACHINE LEARNING
Session 1
Random Forests
- Decision Trees
- Ensemble models and Random Forests
Session 2
Logistic Regression
- Logistic Regression
- Regularisation: Ridge and Lasso
Session 3
Support Vector Classifiers
- Linear Support Vector Classifiers (SVC)
- The kernel-trick and non-linear SVCs
CONTACT US
We will email you within the next 24 hours to arrange a quick call to help with any questions about the programme and recommend pre-course materials.
We look forward to speaking with you.
Dr. Raoul-Gabriel Urma
Director