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
This course is part of Business Analytics Specialization
Instructors: Ronald Guymon
12,710 already enrolled
Included with
(48 reviews)
Recommended experience
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.
Details to know
Add to your LinkedIn profile
4 quizzes, 1 assignment
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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 readings1 quiz1 assignment1 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 quiz
Using R in RStudio to load, transform, clean, and explore data
What's included
20 videos3 readings1 quiz
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 quiz1 peer review1 discussion prompt1 plugin
Instructors
Offered by
Recommended if you're interested in Business Essentials
Rice University
Coursera Instructor Network
Coursera Project Network
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
Why people choose Coursera for their career
Learner reviews
48 reviews
- 5 stars
87.50%
- 4 stars
10.41%
- 3 stars
0%
- 2 stars
0%
- 1 star
2.08%
Showing 3 of 48
Reviewed on Nov 8, 2021
Brilliant stuff from the team. Thanks for Alteryx tool explanation. Unfortunately cannot pay for the course as have funds invested in other courses. Cheers!
Reviewed on Mar 2, 2023
Great course, I appreciate both instructors for this informative course! Thank you
New to Business Essentials? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). If you choose to explore the course without purchasing, you may not be able to access certain assignments.
You will be eligible for a full refund until 2 weeks after your payment date. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the 2-week refund period.
Yes! Coursera provides financial aid to learners who would like to complete a course but cannot afford the course fee. To apply for aid, select "Learn more and apply" in the Financial Aid section below the "Enroll" button. You'll be prompted to complete a simple application; no other paperwork is required.