This course introduces several tools for processing business data to obtain actionable insight. The most important tool is the mind of the data analyst. Accordingly, in this course, you will explore what it means to have an analytic mindset. You will also practice identifying business problems that can be answered using data analytics. You will then be introduced to various software platforms to extract, transform, and load (ETL) data into tools for conducting exploratory data analytics (EDA). Specifically, you will practice using Python to conduct the ETL and EDA processes.
Tools for Exploratory Data Analysis in Business
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Tools for Exploratory Data Analysis in Business
This course is part of Business Analytics Specialization
Instructors: Ronald Guymon
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55 reviews
Beginner level
Recommended experience
Flexible schedule
2 weeks at 10 hours a week
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What you'll learn
Development of an analytic mindset for approaching business problems.
The ability to appraise the value of datasets for addressing business problems using summary statistics and data visualizations.
Competence in operating business analytic software applications for exploratory data analysis.
Skills you'll gain
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Assessments
5 assignments
Taught in English
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This course is part of the Business Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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Build toward a degree
This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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Reviewed on Mar 2, 2023
Great course, I appreciate both instructors for this informative course!
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