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.
Offered By
Introduction to Business Analytics: Communicating with Data
University of Illinois at Urbana-ChampaignAbout this Course
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Flexible deadlines
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Intermediate Level
Approx. 14 hours to complete
English
Subtitles: English
Skills you will gain
Data AnalysisAnalyticsBusiness AnalyticsHealth Care
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 14 hours to complete
English
Subtitles: English
Offered by
University of Illinois at Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
Start working towards your Master's degree
This course is part of the 100% online Master of Science in Accountancy (iMSA) from University of Illinois at Urbana-Champaign.
If you are admitted to the full program, your courses count towards your degree learning.
Syllabus - What you will learn from this course
6 hours to complete
Module 1: Pictures You See with Your Brain
This module, will help you earn the foundation needed to become a good data communicator. After completion of this module, you will know the history of data visualizaiton, understand today’s dataviz tools, make connections with visuals, and evaluate the effectiveness of data visualizations.
6 hours to complete
7 videos (Total 47 min), 7 readings, 3 quizzes
7 videos
Welcome to Introduction to Business Analytics: Communicating with Data9m
Module 1 Overview1m
Lecture 1-1: Studying The History of Dataviz9m
Lecture 1-2: Understanding Today's Dataviz Tools6m
Lecture 1-3: Making Connections With Visuals8m
Lecture 1-4: Evaluating The Effectiveness Of Dataviz8m
7 readings
Syllabus30m
About the Discussion Forums10m
Glossary10m
Brand Descriptions10m
Update Your Profile10m
Module 1 Overview20m
Module 1 Readings1h 30m
2 practice exercises
Orientation Quiz30m
Module 1 Graded Quiz30m
3 hours to complete
Module 2: Working Fast and Thinking Slow
This module will walk you through various methods to access data. The data could be either publicly available or company internal. The module also reviews why it is important for analysts to define clear objectives for their analysis. You will also be introduced to frameworks that help guide digital marketing analysis and their importance to data visualization.
3 hours to complete
5 videos (Total 35 min), 2 readings, 2 quizzes
5 videos
Lecture 2-1: Understanding The Growth Of Data6m
Lecture 2-2: Evaluating Methods Of Data Access8m
Lecture 2-3: Focusing Your Communication Journey8m
Lecture 2-4: Planning Your Data Story9m
2 readings
Module 2 Overview20m
Module 2 Readings7m
1 practice exercise
Module 2 Graded Quiz30m
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
5 videos
Lecture 3-1: Finding Patterns In Data9m
Lecture 3-2: Being Planful When Creating Dataviz5m
Lecture 3-3: Understanding The Components of Visual Form2m
Lecture 3-4: Creating Inviting Dataviz8m
2 readings
Module 3 Overview10m
Module 3 Readings30m
1 practice exercise
Module 3 Graded Quiz30m
3 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.
3 hours to complete
5 videos (Total 32 min), 2 readings, 2 quizzes
5 videos
Lecture 4-1: Enriching Content Through Connection7m
Lecture 4-2: Bringing Sophistication To Charts6m
Lecture 4-3: Improving Chart Legibility6m
Lecture 4-4: Presenting Dataviz With Impact8m
2 readings
Module 4 Overview20m
Module 4 Readings1h
1 practice exercise
Module 4 Graded Quiz30m
Reviews
TOP REVIEWS FROM INTRODUCTION TO BUSINESS ANALYTICS: COMMUNICATING WITH DATA
by GGAug 15, 2020
The course does justice to its title i.e "Intoduction" but there could have been more hand on experience other than assignments. But a good start for the people getting into Data Visualization.
by AKJun 12, 2020
This course is ok for those who are looking fora good understanding of the concept of data visualization. However, there is no hands-on training on any of the data visualization tools.
by RPSep 3, 2019
It was great to give me a better understanding about the way how we can structure and systematically deliver a great data visualization. It will definitely improve my communication.
by RJMay 10, 2020
It is an amazing course for a beginner who has just ventured into the world of analytics. Not only were the lectures amazingly explained, the assignments also were interesting.
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