Digital transformation and advanced technologies like AI and quantum computing are fueled by data. Every industry and profession needs data analysis, from a small business’s survey data to CERN’s 100’s of petabytes per experiment. Analyzing data is one of the most critical skills of the future.
This course, meant for people of all ages, will bring you from the very beginnings of data concepts and structures in context, all the way through analyzing data, telling data stories effectively, and understanding the environments in which data exists throughout our work and life. It will also start you on the path to becoming a data analyst. Throughout the course, we’ll reference additional courses and learning paths you can take to help you on your data career journey.
Data Analysis: A Practical Introduction for Absolute Beginners
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Overview
Syllabus
Module 1: Our Data-Driven World
Module 2: Our First Data Walkthrough
Module 3: Our Data Structures
Module 4: Our Data Analysis Methods
Module 5: Our Data Analysis in Context
Module 6: Final and Challenge Labs
Taught by
Ben Olsen, Tom Carpenter and Trevor Barnes
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Reviews
4.0 rating, based on 1 Class Central review
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The course is easy to follow and really aims at beginner.
I think they can introduce the concept of pivot table in this course because many labs question can be solved by using pivot table in one click.
It is useful for students to have exposure to this important concept rather than delaying it to later courses.
