<p>This course will be an overview of:</p> <ul> <li>Different types of data and how to identify and differentiate between structured, semi-structured, and unstructured data, including their advantages and limitations</li> <li>Acquisition strategies and data cleansing techniques, ensuring data integrity and reliability for analysis</li> <li>Effectively visualizing continuous and discrete data using appropriate charts and graphs</li> <li>Merging and blending financial datasets to create unified views and derive new insights</li> <li>A real-life case study, based on Amazon&#39;s 10-K report, to understand practical applications of data storytelling in financial contexts</li> </ul>