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The Data Visualization Course: Excel, Tableau, Python, R

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The Data Visualization Course: Excel, Tableau, Python, R, available at $89.99, has an average rating of 4.45, with 116 lectures, 4 quizzes, based on 1060 reviews, and has 10198 subscribers.

You will learn about Master data visualization Learn how to label and style a graph Interpret data Select the right type of chart Discover findings through data visualization Create stunning visualizations How to create a Bar chart How to create a Pie chart How to create a Stacked area chart How to create a Line chart How to create a Histogram How to create a Scatter plot How to create a Scatter plot with a trendline (regression plot) This course is ideal for individuals who are Ideal for beginners or Anyone who wants to start a career in data science or business intelligence or People who want to level-up their career with data visualization skills or Anyone who wants to add value to their company It is particularly useful for Ideal for beginners or Anyone who wants to start a career in data science or business intelligence or People who want to level-up their career with data visualization skills or Anyone who wants to add value to their company.

Enroll now: The Data Visualization Course: Excel, Tableau, Python, R

Summary

Title: The Data Visualization Course: Excel, Tableau, Python, R

Price: $89.99

Average Rating: 4.45

Number of Lectures: 116

Number of Quizzes: 4

Number of Published Lectures: 115

Number of Published Quizzes: 4

Number of Curriculum Items: 120

Number of Published Curriculum Objects: 119

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Master data visualization
  • Learn how to label and style a graph
  • Interpret data
  • Select the right type of chart
  • Discover findings through data visualization
  • Create stunning visualizations
  • How to create a Bar chart
  • How to create a Pie chart
  • How to create a Stacked area chart
  • How to create a Line chart
  • How to create a Histogram
  • How to create a Scatter plot
  • How to create a Scatter plot with a trendline (regression plot)

Who Should Attend

  • Ideal for beginners
  • Anyone who wants to start a career in data science or business intelligence
  • People who want to level-up their career with data visualization skills
  • Anyone who wants to add value to their company

Target Audiences

  • Ideal for beginners
  • Anyone who wants to start a career in data science or business intelligence
  • People who want to level-up their career with data visualization skills
  • Anyone who wants to add value to their company

Do you want to learn how to create a rich variety of graphs and charts?

Do you wish you had superior data interpretation skills?

Does your workplace require data visualization proficiency?

Yes, yes, and most likely yes.

The Complete Data Visualization Course is here for you with TEMPLATES for all the common types of charts and graphs in Excel, Tableau, Python, and R!

These are 4 different data visualization courses in 1 course!

Whether your preferred environment is Excel, Tableau, Python, or R, this course will enable you to start creating beautiful data visualizations in no time!

You will not only learn how to create charts, but also how to label them, style them, and interpret them. Moreover, you will receive immediate access to all templateswe work with in the lessons. Simply download the course files, replace the dataset, and amaze your audience!

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.

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.

This course will tackle both of these problems. We will make sure you can confidently create any chart that you need to provide a meaningful visualization of the data you are working with. Not only that – you will be able to label and style data visualizations to achieve a ready-for-presentation graph. Furthermore, through this course, you will learn how to interpret different types of charts and when to use them. We will provide examples of great charts as well as terrible charts. We will spare no effort in transforming you into the key person for data visualizations in any team.

We are confident that by the time you complete this course, creating and understanding data visualizations will be a piece of cake for you!

What makes this course different from the rest of the Data Visualization courses out there?

  • 4 different data visualization courses in 1 course – we cover Excel, Tableau, Python and R

  • Ready-to-use templates for all charts included in the course

  • High-quality production – Full HD and HD video and animations crafted professionally by our experienced team of visual artists

  • Knowledgeable instructor team with experience in teaching on Udemy

  • Complete training – we will cover all common graphs and charts you need to become an invaluable member of your data science team

  • Excellent support – if you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day

  • Dynamic – we don’t want to waste your time! The instructor sets a very good pace throughout the whole course

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 – being able to understand 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

Lecture 1: What Does the Course Cover

Lecture 2: Why Learn Data Visualization

Lecture 3: How to Choose the Right Visualization – Popular Approaches and Frameworks

Lecture 4: Colors and Color theory

Lecture 5: How to Choose the Right Data Visualization Color Palette

Lecture 6: Download all resources

Lecture 7: FAQ

Chapter 2: Setting Up the Working Environments

Lecture 1: Setting Up The Environments – Do Not Skip, Please!

Lecture 2: Tableau – Downloading Tableau

Lecture 3: Python – Why Python and Why Jupyter

Lecture 4: Python – Installing Anaconda

Lecture 5: Python – Jupyter Dashboard – Part 1

Lecture 6: Python – Jupyter Dashboard – Part 2

Lecture 7: Python – Installing the Seaborn Package

Lecture 8: R – Installing R and RStudio

Lecture 9: R – Quick Guide to RStudio

Lecture 10: R – Changing the Appearance in RStudio

Lecture 11: R – Installing Packages and Using Libraries

Chapter 3: Bar Chart – A Brief Intro To Each Environment

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

Lecture 2: Download all resources

Lecture 3: Bar Chart – Excel – How to Create a Bar Chart

Lecture 4: Bar Chart – Tableau – How to Create a Bar Chart

Lecture 5: Bar Chart – Python – How to Create a Bar Chart

Lecture 6: Bar Chart – R – How to Create a Bar Chart

Lecture 7: Bar Chart – Interpretation & What Makes a Good Bar Chart

Lecture 8: Bar Chart – Homework

Lecture 9: Bar Chart – Homework II

Chapter 4: Pie Chart

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

Lecture 2: Pie Chart – Excel – How to Create a Pie Chart

Lecture 3: Pie Chart – Tableau – How to Create a Pie Chart

Lecture 4: Pie Chart – Python – How to Create a Pie Chart

Lecture 5: Pie Chart – R – How to Create a Pie Chart

Lecture 6: Pie Chart – Interpretation

Lecture 7: Pie Chart – Why You Should Never Use a Pie Chart

Chapter 5: Stacked Area Chart

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

Lecture 2: Stacked Area Chart – Excel – How to Create an Stacked Area Chart

Lecture 3: Stacked Area Chart – Tableau – How to Create an Stacked Area Chart

Lecture 4: Stacked Area Chart – Python – How to Create an Stacked Area Chart

Lecture 5: Stacked Area Chart – R – How to Create an Stacked Area Chart

Lecture 6: Stacked Area Chart – Interpretation

Lecture 7: Stacked Area Chart – What Makes a Good Stacked Area Chart

Lecture 8: Stacked Area Chart Homework

Lecture 9: Stacked Area Chart Homework II

Chapter 6: Line Chart

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

Lecture 2: Line Chart – Excel – How to Create a Line Chart

Lecture 3: Line Chart – Tableau – How to Create a Line Chart

Lecture 4: Line Chart – Python – How to Create a Line Chart

Lecture 5: Line Chart – R – How to Create a Line Chart

Lecture 6: Line Chart – Interpretation

Lecture 7: Line Chart – What Makes a Good Line Chart

Lecture 8: Line Chart Homework

Chapter 7: Histogram

Lecture 1: Histogram – Introduction – General Theory and Dataset

Lecture 2: Histogram – Excel – How to Create a Histogram Chart

Lecture 3: Histogram – Tableau – How to Create a Histogram Chart

Lecture 4: Histogram – Python – How to Create a Histogram Chart

Lecture 5: Histogram – R – How to Create a Histogram Chart

Lecture 6: Histogram – Interpretation

Lecture 7: Histogram – How to Choose the Right Number of Bins

Lecture 8: Histogram – What Makes a Good Histogram Chart

Lecture 9: Histogram – Homework

Chapter 8: Scatter Plot

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

Lecture 2: Scatter Plot – Excel – How to Create a Scatter Plot

Lecture 3: Scatter Plot – Tableau – How to Create a Scatter Plot

Lecture 4: Scatter Plot – Python – How to Create a Scatter Plot

Lecture 5: Scatter Plot – R – How to Create a Scatter Plot

Lecture 6: Scatter Plot – Interpretation

Lecture 7: Scatter Plot – What Makes a Good Scatter Plot

Lecture 8: Scatter Plot – Homework

Chapter 9: Combo Plots Part 1 – Scatter and Trendline (Regression Plot)

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

Lecture 2: Regression Plot – Excel – How to Create a Regression Plot

Lecture 3: Regression Plot – Tableau – How to Create a Regression Plot

Lecture 4: Regression Plot – Python – How to Create a Regression Plot

Lecture 5: Regression Plot – R – How to Create a Regression Plot

Lecture 6: Regression Plot – Interpretation

Lecture 7: Regression Plot – What Makes a Good Regression Plot

Lecture 8: Regression Plot – Homework

Chapter 10: Combo Plots Part 2 – Bar and Line Chart

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

Lecture 2: Bar and Line Chart – Excel – How to Create a Bar and Line Plot

Lecture 3: Bar and Line Chart – Tableau – How to Create a Bar and Line Plot

Lecture 4: Bar and Line Chart – Python – How to Create a Bar and Line Plot

Lecture 5: Bar and Line Chart – R – How to Create a Bar and Line Plot

Lecture 6: Bar and Line Chart – Interpretation

Lecture 7: Bar and Line Chart – What Makes a Good Bar and Line Chart

Lecture 8: Bar and Line Chart – Homework

Chapter 11: Advanced Topics – Dashboards, Pivot Dashboard – Excel

Lecture 1: Dashboard in Excel – Introduction

Instructors

  • 365 Careers
    365 Careers
    Creating opportunities for Data Science and Finance students

Rating Distribution

  • 1 stars: 3 votes
  • 2 stars: 15 votes
  • 3 stars: 96 votes
  • 4 stars: 351 votes
  • 5 stars: 595 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!

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