4.6
stars
546 ratings

Kevin Hartman

41,276 already enrolled

Offered By

Make progress toward the Master of Business Administration (iMBA) degree

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University of Illinois at Urbana-Champaign

About this Course

64,899 recent views

This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Intermediate Level

Approx. 14 hours to complete

English

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Skills you will gain

Data Analysis
Analytics
Business Analytics
Health Care

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Intermediate Level

Approx. 14 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.65/5 (155 Ratings)

Kevin Hartman

Visiting Professor & Head of Analytics at Google

Gies College of Business

210,207 Learners

5 Courses

Offered by

University of Illinois at Urbana-Champaign

Get a head start on your degree

This course is part of the Master of Business Administration (iMBA) from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your coursework will count towards your degree learning and all of your progress will transfer with you.

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Syllabus - What you will learn from this course

Content Rating96%(2,207 ratings)

Week1

Week 1

6 hours to complete

Module 1: Pictures You See with Your Brain

6 hours to complete

8 videos (Total 47 min), 8 readings, 3 quizzes

8 videos

Meet Professor Kevin Hartman2mLearn on Your Terms30sWelcome to Introduction to Business Analytics: Communicating with Data9mModule 1 Overview1mLecture 1-1: Studying The History of Dataviz9mLecture 1-2: Understanding Today's Dataviz Tools5mLecture 1-3: Making Connections With Visuals8mLecture 1-4: Evaluating The Effectiveness Of Dataviz8m

8 readings

Syllabus30mAbout the Discussion Forums10mGlossary10mBrand Descriptions10mUpdate Your Profile10mLearn More About Flexible Learning Paths10mModule 1 Overview20mModule 1 Readings1h 30m

2 practice exercises

Orientation Quiz30mPictures You See with Your Brain: Quiz30m

Week2

Week 2

3 hours to complete

Module 2: Working Fast and Thinking Slow

3 hours to complete

5 videos (Total 35 min), 2 readings, 2 quizzes

Week3

Week 3

3 hours to complete

Module 3: Finding Your Data Story

In this module, you will learn an approach to finding patterns in data through visualization. You will see how charts can be used to communicate messages that can be conceptual or data driven and declarative or exploratory. Next, we will learn how to use different charting techniques to reveal data patterns. Visual aids play a major role in identifying ideas and, as a result, we will learn how to match the appropriate visual technique to the ideas we hope to expose. Next, we will explore analysis tools. RStudio is one of the most commonly used tools, and we will explore its visual capabilities. Finally, we will discuss a framework that will help analysts effectively plan for data collection, analysis, and, ultimately, visualization.

3 hours to complete

5 videos (Total 29 min), 2 readings, 2 quizzes

Week4

Week 4

4 hours to complete

Module 4: Getting Your Story Across

This module explores telling stories, through data, that connect emotionally with your audience. It will also review examples and figures that make the concept easy to understand. You will learn the major do’s and don’ts of creating dataviz and rules that lead to the clear depiction of your findings. This unit specifically focuses on Dona Wong’s guidelines for good data visualization and charts. The last leg of Module 4 teaches the three tests that help you improve your visualization. In the final step of dataviz execution, you will learn the McCandless Method for presenting visualizations. This five-step process produces the most effective communication of the graphics to your audience.

4 hours to complete

6 videos (Total 38 min), 4 readings, 2 quizzes

Reviews

4.6

159 reviews

5 stars
72.34%
4 stars
20.32%
3 stars
4.57%
2 stars
1.64%
1 star
1.09%

TOP REVIEWS FROM INTRODUCTION TO BUSINESS ANALYTICS: COMMUNICATING WITH DATA

by MSApr 24, 2021

Informative and well-paced course that with a manageable workload for someone interested in a first step towards an MBA.

by CCApr 24, 2021

I loved the course it was great, although in the last honor track assignment I think it should be revised as it doesn't have anything to do with what was seen throughout the course

by HHMay 13, 2020

A good one . Usefull for further development in communication skills. Improve presentation skills. Thank you it was good one

by BMJun 9, 2019

Great course. I learned more than I expected and I have greater insight into the methodology for creating better visuals from data.

View all reviews

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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Introduction to Business Analytics: Communicating with Data

About this Course

Skills you will gain