Data Science Foundations
- 11 Courses | 6h 20m
- 22 Labs | 22h
Track 1: Python for Data Science
In this track of the Data Science Foundations Aspire Journey, the focus will be on Python programming, use of Jupyter Notebooks for data science, working with dataframes, and joining and aggregating data.
- 1 Course | 45m
- 6 Labs | 6h
Track 2: Exploratory Data Analysis with Python
In this track of the Data Science Foundations Aspire Journey, the focus will be on working with variable types, summarizing data, and exploring associations between variables.
- 3 Courses | 1h 15m
- 5 Labs | 5h
Track 3: Data Visualization with Python
In this track of the Data Science Foundations Aspire Journey, the focus will be on creating plots with matplotlib and seaborn, applying data visualization best practices, and learning techniques to make plots ready for publication.
- 2 Courses | 1h 40m
- 5 Labs | 5h
Track 4: Data Cleaning with Python
In this track of the Data Science Foundations Aspire Journey, the focus will be on data cleaning, handling missing data, and improving data quality.
- 4 Courses | 1h 35m
- 2 Labs | 2h
Track 5: Introductory Statistics
In this track of the Data Science Foundations Aspire Journey, the focus will be on probability, hypothesis testing, and linear regression.
- 1 Course | 1h 5m
- 4 Labs | 4h
EARN A DIGITAL BADGE WHEN YOU COMPLETE THESE TRACKS
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