- Obtaining data from the web, from APIs, from databases and from colleagues in various formats.
- The basics of data cleaning and how to make data "tidy"
- The components of a complete data set including raw data, processing instructions, codebooks, and processed data
- The basics needed for collecting, cleaning, and sharing data
Key success point here is a base of Data Analysts from Uber, Facebook, Glassdoor and other companies, where your tutor will help you to set your professional goals, help to figure out key growth points and build skills via practice and achieve the goals in the fixed terms.VIEW COURSE