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Introduction to Data Science in Python - London
Sat, 10 Dec 2016, 09:30 – Sun, 11 Dec 2016, 17:30
What you will learn
You will learn all the core skills you need to start practising as a data scientist.
- Preprocessing (scaling, log transformations, imputation, hot coding)
- Exploratory data analysis and interactive visualisation
- Unsupervised learning (k-means clustering, hierarchical clustering)
- Dimensionality reduction and feature extraction (PCA, t-SNE)
- Supervised learning (decision trees)
Languages and libraries
- Python programming language
- numpy and pandas for data manipulation
- scikit-learn for machine learning algorithms
- plotly for interactive visualisations
How you will learn
The two-day bootcamp 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.
Is it for me?
Audience: All aspiring data scientists, students, researchers and professionals who are are curious about this exciting and rapidly growing field.
Prerequisites: basic statistics and probability theory; basic python
For further information about this two-day Bootcamp visit: http://cambridgecoding.com/datascience-bootcamp