Description:

The ability to locate and acquire important data is a valuable skill for doing data analysis and data science. We’ll explore many sources and repositories for valuable data acquisition such as open government and university datasets. We’ll also explore popular social APIs (e.g., Facebook, Spotify, Twitter) and domain-specific APIs (e.g., healthcare, news, science and math) that store a wealth of data. Further, we’ll discuss methods to query web servers, and request and parse data to extract the information you need. We’ll also explore scraping various types of data from websites and how to read and extract text from documents (e.g., PDF, Word) along with methods to clean and store sourced and scraped data.

Course Code/Duration:

BDT131 / 1 Day

Learning Objectives:

After this course, you will be able to:

• Explore Variety of Public Data Repositories
• Understand Effective Means to Search for Valuable Data
• Use the Python Programming Language to Source and Scrape Data
• Use Popular Social and Domain-specific APIs to Access Data (e.g., Slack)
• Extract Text from Documents (e.g., data in PDFs, Word)
• Access PDF Tables
• Scrape Data from Web Pages
• Clean Scraped Data
• Store Sourced and Scraped Data