This course introduces you to how to use spreadsheets and SQL queries to analyze and extract data. You will learn how to practically apply the OSEMN data analysis framework and spreadsheet functions to clean data, calculate summary statistics, evaluate correlations, and more. You’ll also dive into common data visualization techniques and learn how to use dashboards to tell a story with your data.
Data Analysis with Spreadsheets and SQL
Data Analysis with Spreadsheets and SQL
This course is part of multiple programs.
Instructor: Brandon Larkin
Access provided by Kaveri College of Arts, Science and Commerce
32,668 already enrolled
Gain insight into a topic and learn the fundamentals.
286 reviews
Beginner level
Recommended experience
Flexible schedule
3 weeks at 10 hours a week
Learn at your own pace
91%
Most learners liked this course
What you'll learn
Clean data with spreadsheets and use common spreadsheet formulas to calculate summary statistics
Write foundational SQL statements and queries to extract data in spreadsheets
Create charts in Google Sheets and use Tableau to visualize data and use dashboards to create data visualizations
Skills you'll gain
Tools you'll learn
Details to know
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Assessments
33 assignments
Taught in English
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There are 5 modules in this course
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Showing 3 of 286
LH
Reviewed on May 3, 2024
It will be great if the sources can be included more in SQL and Tableau, I hope that there will have a deeper understanding on it
MA
Reviewed on Feb 6, 2025
A full, detailed courses regarding spreadsheet, SQL, and Tableau, but still beginner friendly
LM
Reviewed on Mar 6, 2024
This course was a bit more challenging, but still very interesting. A solid 9 out 10.
