11 Passive Income Ideas to Increase Your Cash Flow in 2025
January 27, 2025
Article · 6 min read
This course is part of multiple programs.
Instructors: Kevin Hartman
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
50,288 already enrolled
Included with
(622 reviews)
(622 reviews)
Build familiarity with the set of tools and techniques used to analyze and visualize digitalized data.
Gain an understanding of the motivations that direct the use of various data visualization methods.
Understand visual approaches used to effectively communicate insights from data.
Gain hands-on, working knowledge of the nuanced distinction between effective and poor data presentation.
Add to your LinkedIn profile
5 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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.
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.
7 videos8 readings2 assignments1 peer review1 discussion prompt1 plugin
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.
5 videos2 readings1 assignment1 peer review
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.
5 videos2 readings1 assignment1 peer review
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.
6 videos4 readings1 assignment1 peer review1 plugin
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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.
University of Colorado Boulder
Course
University of Illinois Urbana-Champaign
Build toward a degree
Specialization
University of Illinois Urbana-Champaign
Course
Johns Hopkins University
Course
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
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
University of Illinois Urbana-Champaign
Degree · 1 year
University of Illinois Urbana-Champaign
Degree · 2 – 3 years
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
622 reviews
72.50%
20.09%
4.50%
1.44%
1.44%
Showing 3 of 622
Reviewed on Feb 3, 2023
Good course to understand the fundamentals of data visualization and how to effectively communicate through visuals instead of plain words or number tables
Reviewed on Jan 28, 2023
This course highlighted the points to take note when creating a data visualisation which I found very useful.
Reviewed on Sep 28, 2020
Excellent information, I have a wide experiencience with analytics, and this course is a very good explanation with excellent examples and tools.I totally recomend it.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
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. View our full refund policy.
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.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.