Exploratory Data Analysis
This course delivers the skills, tools, and strategies needed to advance in the data science and analytics field. Students will learn exploratory data analysis, examine the tools used to extract meaningful insights, and take a deep dive into Python and SQL. This course is ideal for aspiring data analysts, business intelligence analysts, business analysts, and associate data scientists. In this short, immersive course, students gain skills they can apply right away at work.
Prerequisites:
Students should have a basic understanding of the following:
- General Python programming concepts, such as data types, conditional statements, loops, and functions
- Math fundamentals like probability and distribution, linear algebra, and statistics
Key Topics Include:
- How to explore, manipulate, and describe tabular datasets using Pandas and NumPy
- The use of Matplotlib and Seaborn to visualize variables and the relationships between them
- How to work with database tools to connect to and query from relational databases
