Difference between revisions of "DataCamp Resources"
From U-M Big Data Summer Institute Wiki
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* [https://www.datacamp.com/courses/importing-data-in-r-part-1 Importing Data in R (Part 1)] [https://www.datacamp.com/courses/importing-data-in-r-part-2 (Part 2)] | * [https://www.datacamp.com/courses/importing-data-in-r-part-1 Importing Data in R (Part 1)] [https://www.datacamp.com/courses/importing-data-in-r-part-2 (Part 2)] | ||
* [https://www.datacamp.com/courses/dplyr-data-manipulation-r-tutorial Data Manipulation with dplyr] | * [https://www.datacamp.com/courses/dplyr-data-manipulation-r-tutorial Data Manipulation with dplyr] | ||
| + | |||
| + | === For Data Visualization Skills === | ||
| + | * [https://www.datacamp.com/courses/data-visualization-with-ggplot2-1 Data Visualization with ggplot2 (Part 1)] [https://www.datacamp.com/courses/data-visualization-with-ggplot2-2 (Part 2)] | ||
| + | * [https://www.datacamp.com/courses/introduction-to-data-visualization-with-python Data Visualization with Python] | ||
| + | |||
| + | === For Machine Learning === | ||
| + | * [https://www.datacamp.com/courses/introduction-to-machine-learning-with-r Introduction to Machine Learning with R] | ||
| + | * [https://www.datacamp.com/courses/machine-learning-toolbox Machine Learning Toolbox in R] | ||
| + | * [https://www.datacamp.com/courses/supervised-learning-with-scikit-learn Supervised Learning with scikit-learn (Python)] | ||
| + | * [https://www.datacamp.com/courses/unsupervised-learning-in-python Unsupervised Learning in Python] | ||
Revision as of 11:27, 11 June 2017
Contents
DataCamp Resources for BDSI 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
