Data Presentation for Business: How to make great charts

Learn how data visualizations can bring order or offer insight and recognize when they are used to deceive and mislead.
4.3 (21 ratings)
Instead of using a simple lifetime average, Udemy calculates a
course's star rating by considering a number of different factors
such as the number of ratings, the age of ratings, and the
likelihood of fraudulent ratings.
5,713 students enrolled
25% off
Take This Course
  • Lectures 24
  • Length 1.5 hours
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
Wishlisted Wishlist

How taking a course works


Find online courses made by experts from around the world.


Take your courses with you and learn anywhere, anytime.


Learn and practice real-world skills and achieve your goals.

About This Course

Published 1/2015 English

Course Description

We are surrounded by data. We work with numbers every day. How can we understand them and how can we show trends, correlations or insights to other people?

The solution is putting those numbers into visual form. This ability is one of the most sought-after skills on the job market, because the amount of data that needs to be sorted, analyzed and understood is increasing at formidable rate.

Learn how to correctly use charts and graphs to make sense of data.

  • how charts come together,
  • how to draw attention to your data,
  • what graph is best for what type of data,
  • how to avoid the mistakes almost everybody makes,
  • how to avoid being misled by malicious charts.

Take the first steps in learning a new language

Using data visualizations to see patterns, uncover hidden trends and put numbers into an easy to understand visual form is a skill that is useful in any job. There is no need for prior experience and the terminology will be explained in the course.

Content and overview

When you enroll in this course you will get access to almost 2 hours of video lectures and a wealth of supplemental materials. You can complete the course in 2 or 3 hours, if you just watch the videos and take the quizzes, but you can also spend days reading and practicing what we discuss in the course, or anything in between. At the end of each of the main 4 sections there is a quiz, to help you remember what you have learned .

At the end of this course you will be able to understand how statistical data can be put into visual form, how you can extract meaning from spreadsheets and how to recognize when someone is trying to lie to you with pretty charts.

What are the requirements?

  • The only necessary prerequisite is basic use of computers and office software.
  • It will help if you have Microsoft Excel installed, we have an exercise in Lecture 7.
  • A lot of suplemental materials are available in webpages, so internet connection when taking this course is recommended.

What am I going to get from this course?

  • understand how charts, maps and graphs are created
  • present insights to others through charts and graphs
  • improve your data presentation skills
  • know how to draw attention to specific parts of their datasets
  • know what chart is best for which type of data
  • avoid making the most common mistakes when creating data visualizations
  • recognize charts that try to deceive
  • acquire the basic terminology of data visualization

Who is the target audience?

  • This course is meant for anybody with an interest in making sense of the numbers we encounter in every aspect of our life, but especially for people that work with spreadsheets for a living and want to see patterns and trends more easily and to learn how to present those insights to others. If you want to make the most of the statistical data of every kind that you encounter at work or at home, this course is for you.
  • This course is probably not for you if you are a graphic designer or have extended knowledge about charts, maps and infographics.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Introduction to the course

I’ll go over the broad topics we’ll cover in the course. I’ll also touch on why the course will help participants, and what they’ll get out of it once they’ve completed it.

Section 2: What is data visualization

I’ll go over what we’ll cover in this section


I will show famous graphs, talk about the evolution of charts and infographics and why some of them are so influential.


I will talk about where you can find data and what data actually means.


I will talk about the different views in which visualization experts see the field and I will offer my own view on the matter.


I will discuss the urge of some designers to add graphic elements to charts in an effort to ”beautify” them and why this approach is usually not a good one


Using the conceptual framework of Edward Tufte, I will explain what the concept means and how can it be applied in real life, and also when a little ornamentation is not such a bad thing after all


I will summarize what you have learned in this section.

6 questions

Just a few questions to help you remember what you have learned so far.

Section 3: How to draw attention to data

I’ll go over what we’ll cover in this section.


I will show you how you can use color to draw attention to data


I will show you how you can use the chart element's size to draw attention to data


I will show you how you can use the chart element's position to draw attention to data


I will summarize what you have learned in this section.

5 questions

Just a few questions to help you remember what you have learned so far.

Section 4: We have the data. Now what?

I’ll go over what we’ll cover in this section.


I will talk about the elements that make up a chart and their importance in delivering the correct information to the viewer.


I will discuss the most important chart types and their uses


This is the second part of the discussion about the most common types of charts and for what types of datasets are they most suited for.


In this lesson we will learn about the most widely used computer programs that can help us put togheter our data visualizations.


I will summarize what you have learned in this section

9 questions

Just a few questions to help you remember what you have learned so far.

Section 5: What not to do

I’ll go over what we’ll cover in this section.


I will go through the most common mistakes that appear when charts are created.


I will show how charts can be used to transmit false information, how data can be distorted and how you can recognize this malicious visualizations.


I will summarize what you have learned in this section.

6 questions

Just a few questions to help you remember what you have learned so far.

Section 6: In the end

I will go through the most important concepts that we talked about in this course.

Students Who Viewed This Course Also Viewed

  • Loading
  • Loading
  • Loading

Instructor Biography

Nicolae Urs, Associate Dean, University of Babes-Bolyai, FSPAC, Romania

I am a professor at the largest university in Romania, teaching courses such as Data Journalism, E-government or Online Communication. I have a PhD in Journalism.

My desire to learn about encoding statistical data into visual form was fueled both by my need to see how data can help me be a better teacher and by my passion for everything linked to computers and internet.

I have taught a version of this course both to students at our College and in multinational companies such as Office Depot, which felt the need to increase data visualization literacy in their workforce. My data visualization skills were also put to good use as part of a team of experts that coordinated a number of strategic development plans for city halls and county councils all across Romania.

Ready to start learning?
Take This Course