Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018
This is a repo for my Bertelsmann Data Science Scholarship Challenge: notes, exercises, quizzes.
https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018
aggregation bertelsmann challenge control-flow data-cleaning data-science data-visualization python scholarship sql statistics udacity udacity-course udacity-scholarship-course udacity2018 variability
Last synced: 3 months ago
JSON representation
This is a repo for my Bertelsmann Data Science Scholarship Challenge: notes, exercises, quizzes.
- Host: GitHub
- URL: https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018
- Owner: irsol
- Created: 2018-05-16T09:03:37.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-08-04T14:29:40.000Z (over 6 years ago)
- Last Synced: 2024-10-12T12:08:46.115Z (3 months ago)
- Topics: aggregation, bertelsmann, challenge, control-flow, data-cleaning, data-science, data-visualization, python, scholarship, sql, statistics, udacity, udacity-course, udacity-scholarship-course, udacity2018, variability
- Language: Python
- Size: 5.63 MB
- Stars: 26
- Watchers: 3
- Forks: 26
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## About
##### This repository for my study notes, exercises, quizzes during Udacity Bertelsmann Scholarship Challenge 2018.
Notes are sorted by lessons.## Lessons:
- [Lessons 1-5](https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018/blob/master/intro_to_research_methods_lessons_1_5/terminology_intro_to_research_methods.md)
- [Lesson 6](https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018/tree/master/visualizing_data_lesson_6)
- [Lesson 13](https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018/tree/master/variability_lesson_13)
- [Lesson 24](https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018/tree/master/data_types_and_operators_lesson_24)
- [Lesson 25](https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018/tree/master/control_flow_lesson_25)
- [Lesson 26](https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018/tree/master/functions_lesson_26)
- [Lesson 28](https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018/tree/master/basic_sql_lesson28)
- [Lesson 29](https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018/tree/master/sql_joins_lesson_29)
- [Lesson 30](https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018/tree/master/aggregations_lesson_30)
- [Lesson 31](https://github.com/irsol/udacity-bertelsmann-data-science-challenge-scholarship-2018/tree/master/sql_subqueries_temporary_table_lesson31)
- [Lesson 32]()