Thomas Hill

Imperial College London Data Science Bootcamp Graduate

Imperial College London

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Imperial College London Data Science Bootcamp

Task	Status	Score
Task 1 - Pseudo Code	Completed	100
Task 2 - Your First Computer Program and Using Variables	Completed	100
Task 3 - The String and Numerical Data Type	Completed	100
Task 4 - Control Structures - If, Elif, Else and the Boolean Data Type	Completed	100
Task 5 - Logical Programming - Operators	Completed	94
Task 6 - Control Structures - While Loop	Completed	94
Task 7 - Control Structures - For Loop	Completed	100
Task 8 - Defensive Programming - Error Handling	Completed	100
Task 9 - String Handling	Completed	94
Task 10 - IO Operations - Input	Completed	100
Task 11 - IO Operations - Output	Completed	100
Task 12 - Data Structures - Lists and Dictionaries	Completed	100
Task 13 - Programming with User-defined Functions	Completed	100
Task 14 - Data Structures - 2D lists	Completed	94
Task 15 - Capstone Project - Files	Completed	100

Task	Status	Score
Task 1 - Data Sources	Completed	100
Task 2 - Databases	Completed	100
Task 3 - SQL	Completed	100
Task 4 - Python Packages for Data Science	Completed	100
Task 5 - Datasets and DataFrames	Completed	100
Task 6 - Data Visualisation - Approach and Techniques	Completed	100
Task 7 - Data Visualisation - Tableau	Completed	100
Task 8 - Data Visualisation - Python Libraries	Completed	100
Task 9 - Data Analysis - Data Cleaning	Completed	100
Task 10 - Data Analysis - Preprocessing	Completed	100
Task 11 - Statistics	Completed	100
Task 12 - Machine Learning	Completed	100
Task 13 - Supervised Learning - Linear Regression	Completed	100
Task 14 - Capstone Project - Linear Regression in Action	Completed	100

Task	Status	Score
Task 1 - Supervised Learning - Logistic Regression	Completed	100
Task 2 - Supervised Learning - Decision Trees	Completed	100
Task 3 - Supervised Learning - Random Forests	Completed	94
Task 4 - Unsupervised Learning - K-means Clustering	Completed	100
Task 5 - Natural Language Processing	Completed	100
Task 6 - Capstone Project - Natural Language Processing Applications	Completed	100

99 % Average grade

Ranked 3 out of 52 students in their class