Course Learning Outcomes
- Learn data types
- Perform basic data operations using Tableau and Python. Apply data transformations such as aggregation and filtering for visualization. Indexing, slicing and subsetting in pandas DataFrames
- Practical experience building and evaluating visualization systems. Design and create data visualizations.
- Conduct exploratory data analysis using visualization.
- Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries
- Identify potential pitfalls when handling data with Tableau and Python
- Create basic and visually appealing diagrams using Tableau and Python
- Arrange visual presentations of data for effective communication.
- Design and evaluate color palettes for visualization based on principles of perception.
- Identify opportunities for application of data visualization in various domains