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.
Tools for Exploratory Data Analysis in Business
Tools for Exploratory Data Analysis in Business
This course is part of Business Analytics Specialization
Instructors: Ronald Guymon
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4.8
(48 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 18 hours
Learn at your own pace
Build toward a degree
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.
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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
Your mind is the most important tool. Prepare your mind by learning about various mindsets and terms for approaching business analytic problems.
What's included
13 videos7 readings2 assignments1 discussion prompt1 plugin
PowerBI is great for both data assembly and visualization. In this module we will use PowerBI to prepare the Teca data for analysis, and then visually explore that data with various charts.
What's included
15 videos3 readings1 assignment
Using R in RStudio to load, transform, clean, and explore data
What's included
20 videos3 readings1 assignment
Alteryx is great for visually documenting the data analytic workflow. In this module we will use Alteryx to assemble the Teca data and explore it with plots and tables.
What's included
18 videos6 readings1 assignment1 peer review1 discussion prompt1 plugin
Instructors
Instructor ratings
4.4 (11 ratings)Offered by
Recommended if you're interested in Business Essentials
Duke University
University of Illinois Urbana-Champaign
CertNexus
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 3, 2023
Great course, I appreciate both instructors for this informative course!
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