Difference between revisions of "DataCamp Resources"

Latest revision as of 12:27, 11 June 2017

Access to DataCamp courses

By the courtesy DataCamp, all BDSI students will have access to the premium contents of DataCamp courses during BDSI 2017. These courses will encourage students to self-teach the skillsets they needs for the project, and catch up the computational sessions they may have missed during the lectures. If you do not have the access to the datacamp, please contact the BDSI staff.

Recommended Courses

The following courses are particularly recommended by the instructors and group leaders:

For Improving Programming Skills in Python

• Introduction to Python for Data Science
• Intermediate Python for Data Science
• Cleaning Data in Python
• Python Data Science Toolbox (Part 1) (Part 2)

For Improving Programming Skills in R

• Introduction to R
• Intermediate R
• Intermediate R Practice
• Writing Functions in R
• Importing Data in R (Part 1) (Part 2)
• Data Manipulation with dplyr

For Data Visualization Skills

• Data Visualization with ggplot2 (Part 1) (Part 2)
• Data Visualization with Python

For Machine Learning

• Introduction to Machine Learning with R
• Machine Learning Toolbox in R
• Supervised Learning with scikit-learn (Python)
• Unsupervised Learning in Python