Intro to Data Analytics, SQL, and EDA Using Python
The ability to understand and work with data has become increasingly important in today's world, where data is ubiquitous and valuable. This course covers a...
By Brandon Krakowsky on Coursera
About This Course
The ability to understand and work with data has become increasingly important in today's world, where data is ubiquitous and valuable. This course covers a range of topics, including what data is and its different types, what big data looks like, and how companies are using it. It also explores the fields of data analysis and data science and how the two come together. To help form the field of data analytics, we'll look at the entire data analytics process and how it works, from defining the analytics problem to interpreting and presenting the results. We'll also look at some case studies, which are presented to illustrate the application of data analytics in real-world scenarios.
Topics Covered
Frequently Asked Questions
How much does Intro to Data Analytics, SQL, and EDA Using Python cost?
Visit the Intro to Data Analytics, SQL, and EDA Using Python course page for current pricing and available discounts.
Who teaches Intro to Data Analytics, SQL, and EDA Using Python?
Intro to Data Analytics, SQL, and EDA Using Python is taught by Brandon Krakowsky, University of Pennsylvania.
What skill level is Intro to Data Analytics, SQL, and EDA Using Python for?
This course is designed for all levels learners.
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