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Master Data Science: Top Courses By edX
- Who owns data
- How we value different aspects of privacy
- How we get informed consent
- What it means to be fair
- How to analyze data and perform simple data visualizations using ProcessingJS
- Understand and apply introductory programming concepts such as sequencing, iteration, and selection
- Equip you to study computer science or other programming languages
- How to use Unix/Linux to manage your file system
- How to perform version control with git
- How to start a repository on GitHub
- How to leverage the many useful features provided by RStudio
- After completing this course, you will be familiar with the following concepts and techniques:
- Data analysis and inference
- Data science research design
- Experimental data analysis and modeling
- To complete this course successfully, you should have:
- Basic knowledge of math
- Some programming experience R is preferred.
- A willingness to learn through self-paced study.
- Explore Python language fundamentals, including basic syntax, variables, and types
- Create and manipulate regular Python lists
- Use functions and import packages
- Build Numpy arrays, and perform interesting calculations
- Create and customize plots on real data
- Supercharge your scripts with control flow, and get to know the Pandas DataFrame