Hugo Bowne-Anderson

Data Scientist at DataCamp

Hugo hearts all things Pythonic and is charged with building out DataCamp’s Python curriculum. He can be found at hackathons, meetups & code sprints, primarily in NYC. Before joining the ranks of DataCamp, he worked in applied mathematics (biology) research at Yale University.

Courses taught by Hugo Bowne-Anderson

Python Data Science Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

3 hours

Importing Data in Python (Part 1)

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

3 hours

Supervised Learning with scikit-learn

Learn how to build and tune predictive models and evaluate how well they will perform on unseen data.

4 hours

Python Data Science Toolbox (Part 2)

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

4 hours

Importing Data in Python (Part 2)

Improve your Python data importing skills and learn to work with web and API data.

2 hours

Projects led by Hugo Bowne-Anderson

Word frequency in Moby Dick

Use python to answer the question: What are the most frequent words in Herman Melville's novel Moby Dick?

Importing & Cleaning Data

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