Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data.
Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?
Ready for more hands-on, step-by-step Python fundamentals? Add to the foundational experience you got in the Introduction to Python: Absolute Beginner, and explore data structures. Get lots of practice working with sample code in Jupyter Notebooks on Azure, which require only a browser and an Internet connection.
This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis
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