Introduction to Data Visualization

Introduction to Data Visualization, available at $39.99, has an average rating of 4.6, with 28 lectures, based on 33 reviews, and has 228 subscribers.

You will learn about Techniques for choosing an appropriate visualization based on your data Approaches to choosing the best colors scheme for a professional presentation How to analyze and interpret basic charts such as bar chart and pie chart How to analyze and interpret more advanced charts such as histograms, line charts, scatter plots, stacked area charts Steps to analyze and interpret combination charts like regression plots and bar and line charts Guidelines and advice on how to build professional data visualizations What to try and avoid when creating a certain type of graphic How to recognize a well-made visualization and identify problem areas for a chart or graphic This course is ideal for individuals who are People interested in data visualization or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills or Anyone who wants to gain a valuable skill It is particularly useful for People interested in data visualization or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills or Anyone who wants to gain a valuable skill.

Enroll now: Introduction to Data Visualization

Summary

Title: Introduction to Data Visualization

Price: $39.99

Average Rating: 4.6

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Techniques for choosing an appropriate visualization based on your data
Approaches to choosing the best colors scheme for a professional presentation
How to analyze and interpret basic charts such as bar chart and pie chart
How to analyze and interpret more advanced charts such as histograms, line charts, scatter plots, stacked area charts
Steps to analyze and interpret combination charts like regression plots and bar and line charts
Guidelines and advice on how to build professional data visualizations
What to try and avoid when creating a certain type of graphic
How to recognize a well-made visualization and identify problem areas for a chart or graphic

Who Should Attend

People interested in data visualization
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
Anyone who wants to gain a valuable skill

Target Audiences

People interested in data visualization
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
Anyone who wants to gain a valuable skill

Do you wish you had superior data interpretation skills?

Does your workplace require data visualization proficiency?

Do you wish to learn about a rich variety of graphs and charts?

If you answered “yes” to any of these questions, this is the course for you.

Data visualization is the face of data. Many people look at the data and see nothing. The reason for that is that they are not creating good visualizations. Or even worse – they are creating nice graphs but cannot interpret them accurately.

That’s why we’ve created the ‘Introduction to Data Visualization Course’. To help you better understand and interpret different types of charts:

Graphs and charts included in the Complete Data Visualization Course:

· Bar chart

· Pie chart

· Stacked area chart

· Line chart

· Histogram

· Scatter plot

· Scatter plot with a trendline (regression plot)

We live in the age of data. And being able to gather good data, preprocess it, and model it is crucial.

However, there is nothing more important than being able to interpret that data. And data visualization allows us to achieve just that. At the end of the day, data charts are what conveys the most information in the shortest amount of time. And nothing speaks better than a well-crafted and meaningful data visualization.

The skills you acquire during the course will help you develop an analytical approach when creating any type of chart based on the data you’re given.

At the same time, you’ll be able to interpret charts in general, so you’ll be on top of your game whenever you’re examining someone else’s work. You’ll be able to gain insight from a chart in a short amount of time, as well as spot if something is wrong or missing from a visualization.

Why do you need these skills?

1. Salary/Income – careers in the field of data science are some of the most popular in the corporate world today. Literally every company nowadays needs to visualize their data, therefore the data viz position is very well paid

2. Promotions – being the person who creates the data visualizations makes you the bridge between the data and the decision-makers; all stakeholders in the company will value your input, ensuring your spot on the strategy team

3. Secure future –understanding data in today’s world is the most important skill to possess and it is only developed by seeing, visualizing and interpreting many datasets

Please bear in mind that the course comes with Udemy’s 30-day money-back guarantee. And why not give such a guarantee? We are certain this course will provide a ton of value for you.

Let’s start learning together now!

Course Curriculum

Chapter 1: Introduction to The Course

Lecture 1: What Does the Course Cover

Lecture 2: Why Learn Data Visualization

Lecture 3: How to Choose the Right Charts based on Your Data

Lecture 4: Color Theory and Colors

Chapter 2: Bar Chart

Lecture 1: Bar Chart – Introduction – General Theory and Dataset

Lecture 2: Bar Chart – Interpretation & How to Make a Good Bar Chart

Chapter 3: Pie Chart

Lecture 1: Pie Chart – Introduction – General Theory and Dataset

Lecture 2: Pie Chart – interpreting the Pie Chart

Lecture 3: Pie Chart – What is Wrong With Using a Pie Chart

Chapter 4: Stacked Area Chart

Lecture 1: Stacked Area Chart – Introduction – General Theory and Dataset

Lecture 2: Stacked Area Chart – interpreting the Stacked Area Chart

Lecture 3: Stacked Area Chart – How to Make a Good Stacked Area Chart

Chapter 5: Line Chart

Lecture 1: Line Chart – Introduction – General Theory and Dataset

Lecture 2: Line Chart – interpreting the Line Chart

Lecture 3: Line Chart – What Makes a Good Line Chart

Chapter 6: Histogram

Lecture 1: Histogram – Introduction – General Theory and Dataset

Lecture 2: Histogram – interpreting the Histogram

Lecture 3: Histogram – Choosing the Number of Bins in a Histogram

Lecture 4: Histogram – How to Make a Good Histogram

Chapter 7: Scatter Plot

Lecture 1: Scatter Plot – Introduction – General Theory and Dataset

Lecture 2: Scatter Plot – interpreting the Scatter Plot

Lecture 3: Scatter Plot – How to Make a Good Scatter Plot

Chapter 8: Combo Plots Part 1 – Scatter and Trendline (Regression Plot)

Lecture 1: Regression Plot – Introduction – General Theory and Dataset

Lecture 2: Regression Plot – Interpreting the Regression Plot

Lecture 3: Regression Plot – How to Make a Good Regression Scatter Plot

Chapter 9: Combo Plots Part 2 – Bar and Line

Lecture 1: Bar and Line Chart – Introduction – General Theory and Dataset

Lecture 2: Bar and Line Chart – Interprеting the Combination Chart

Lecture 3: Bar and Line Chart – How to Make a Good Combination Chart

Instructors

365 Careers
Creating opportunities for Data Science and Finance students

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 4 votes
4 stars: 8 votes
5 stars: 20 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu