The unit covers topics on the different components of the Web, importance of using spreadsheets, creating and working with spreadsheets, and performing basic calculations in spreadsheets.

The unit covers topics on data-driven decision making, types of data, data visualizations, different formats of data, finding data online and navigating national databases.

The unit covers topics on working with messy data, parsing PDFs and other formats, testing the reliability of data, performing EDA, and finding stories in data visualizations.

This unit covers topics on the definition of a claim, explains characteristics and examples of a good claim, discusses ways to assess the validity of a claim, and ways to critically analyze a claim.

The unit covers topics on ways to use data to craft broad context and audience relevant conclusions, overall process of story telling from coming up with a hypothesis to collecting data to cleaning data to performing analysis and making good claims.

This unit covers topics on probability theory, theoritical probability and experimental probability, compound probabilities, conditional probabilities, inferential statistics and correlation and regression.

This unit covers topics on Google Colab for data analysis and machine learning, introduction to Pandas and Seaborn, introduction to machine learning and creating simple machine learning models for regression and classification.

This unit covers topics on basic data visualization with Tableau including understanding data, organizing it, and presenting it in formats and visualizations that makes sense to people who use it to make a real impact with data.

This unit covers topics on data collection, planning data driven projects and setting up the team, survey methodologies and collecting data by leveraging a mobile device.

This unit covers topics on design thinking and it's application, use of big data in design thinking, servant leadership, presentation skills and the characteristics of a good presentation.