Wanting to get much more into Data Science for my career I decided to take the Cambridge Spark Applied Data Science bootcamp.

It was great fun, and I learnt a lot which I hope to be applying soon at work!

Completed!

Curriculim

The course was taught part time over weekends, with assignments on the edu-Kate platform in between. Admittedly it wasn’t easy to handled a full time job at the same time but I have no regrets at doing it part-time particularly with the on going pandemic.

Modules included:

• ADS01 Building foundations: Tools, Mathematics and Best Practices for Data Scientists
• ADS02 Data Exploration, Supervised Learning and Feature Engineering
• ADS03 Classification, Model Selection and Regularisation
• ADS04 Regression, Time Series and Unsupervised Learning
• ADS05 Databases and NoSQL
• ADS06 Processing Big Data
• ADS07 Ensemble Methods
• ADS08 Neural Networks and Deep Learning
• ADS09 Natural Language Processing
• ADS10 Recommender Systems

And all finished with a capstone project on EDA and submission for the M5 Kaggle Competition (will post about it soon too)

Technologies/Skills used

• Python, Pandas, Sklearn, statsmodels
• Conda and Git
• Causalens Data Analysis Platform