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Tools for Exploratory Data Analysis in Business
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 PowerBI, Alteryx, and RStudio to conduct the ETL and EDA processes.
The learning outcomes for this course include:
1. Development of an analytic mindset for approaching business problems.
2. The ability to appraise the value of datasets for addressing business problems using summary statistics and data visualizations.
3. The ability to competently operate business analytic software applications for exploratory data analysis.
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 3-5 hours/week |
| Starts | Jun 26 (47 weeks ago) |
| Cost | $79 |
| From | University of Illinois at Urbana-Champaign via Coursera |
| Instructors | Jessen Hobson, Ronald Guymon, Gies College of Business, University of Illinois |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Business |
| Tags | Data Science Data Analysis Business Leadership And Management |
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 3-5 hours/week |
| Starts | Jun 26 (47 weeks ago) |
| Cost | $79 |
| From | University of Illinois at Urbana-Champaign via Coursera |
| Instructors | Jessen Hobson, Ronald Guymon, Gies College of Business, University of Illinois |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Business |
| Tags | Data Science Data Analysis Business Leadership And Management |
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