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

(10 customer reviews)

$18

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Description

What you’ll 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)

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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 templates we 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!

Who this course is for:

  • 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

Course content

  • Introduction
  • Setting Up the Working Environments
  • Bar Chart – A Brief Intro To Each Environment
  • Pie Chart
  • Stacked Area Chart
  • Line Chart
  • Histogram
  • Scatter Plot
  • Combo Plots Part 1 – Scatter and Trendline (Regression Plot)
  • Combo Plots Part 2 – Bar and Line Chart

10 reviews for The Data Visualization Course: Excel, Tableau, Python, R – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Devang Jain

    The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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