The Data Visualization Course: Excel, Tableau, Python, R
Data visualization in Excel, Tableau, Python, and R. Create stunning charts and learn the most in-demand skills in 2020
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)
Data Visualization Course:
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)
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?
- 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
- 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
- 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!
Setting Up the Working Environments
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1
What Does the Course Cover -
2
Why Learn Data Visualization
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3
Quiz 1Why Learn Data Visualization
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4
How to Choose the Right Visualization - Popular Approaches and Frameworks
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5
How to Choose the Right Visualization - Popular Approaches
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6
Colors and Color theory
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7
Colors and Color Theory
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8
How to Choose the Right Data Visualization Color Palette -
9
Download all resources
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10
FAQ
Bar Chart - A Brief Intro To Each Environment
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11
Setting Up The Environments - Do Not Skip, Please!
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12
Tableau - Downloading Tableau
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13
Python - Why Python and Why Jupyter
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14
Python - Installing Anaconda
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15
Python - Jupyter Dashboard - Part 1
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16
Python - Jupyter Dashboard - Part 2
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17
Python - Installing the Seaborn Package
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18
R - Installing R and RStudio
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19
R - Quick Guide to RStudio
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20
R - Changing the Appearance in RStudio
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21
R - Installing Packages and Using Libraries
Pie Chart
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22
Bar Chart - Introduction - General Theory and Dataset
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23
Download all resources
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24
Bar Chart - Excel - How to Create a Bar Chart
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25
Bar Chart - Tableau - How to Create a Bar Chart
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26
Bar Chart - Python - How to Create a Bar Chart
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27
Bar Chart - R - How to Create a Bar Chart
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28
Bar Chart - Interpretation & What Makes a Good Bar Chart
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29
Bar Chart - Homework
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30
Bar Chart - Homework II
Stacked Area Chart
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31
Pie Chart - Introduction - General Theory and Dataset
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32
Pie Chart - Excel - How to Create a Pie Chart
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33
Pie Chart - Tableau - How to Create a Pie Chart
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34
Pie Chart - Python - How to Create a Pie Chart
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35
Pie Chart - R - How to Create a Pie Chart
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36
Pie Chart - Interpretation
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37
Pie Chart - Why You Should Never Use a Pie Chart
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38
Pie Chart
Line Chart
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39
Stacked Area Chart - Introduction - General Theory and Dataset
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40
Stacked Area Chart - Excel - How to Create an Stacked Area Chart
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41
Stacked Area Chart - Tableau - How to Create an Stacked Area Chart
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42
Stacked Area Chart - Python - How to Create an Stacked Area Chart
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43
Stacked Area Chart - R - How to Create an Stacked Area Chart
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44
Stacked Area Chart - Interpretation
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45
Stacked Area Chart - What Makes a Good Stacked Area Chart
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46
Stacked Area Chart Homework
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47
Stacked Area Chart Homework II
Histogram
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48
Line Chart - Introduction - General Theory and Dataset
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49
Line Chart - Excel - How to Create a Line Chart
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50
Line Chart - Tableau - How to Create a Line Chart
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51
Line Chart - Python - How to Create a Line Chart
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52
Line Chart - R - How to Create a Line Chart
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53
Line Chart - Interpretation
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54
Line Chart - What Makes a Good Line Chart
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55
Line Chart Homework
Scatter Plot
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56
Histogram - Introduction - General Theory and Dataset
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57
Histogram - Excel - How to Create a Histogram Chart
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58
Histogram - Tableau - How to Create a Histogram Chart
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59
Histogram - Python - How to Create a Histogram Chart
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60
Histogram - R - How to Create a Histogram Chart
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61
Histogram - Interpretation
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62
Histogram - How to Choose the Right Number of Bins
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63
Histogram - What Makes a Good Histogram Chart
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64
Histogram - Homework
Combo Plots Part 1 - Scatter and Trendline (Regression Plot)
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65
Scatter Plot - Introduction - General Theory and Dataset
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66
Scatter Plot - Excel - How to Create a Scatter Plot
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67
Scatter Plot - Tableau - How to Create a Scatter Plot
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68
Scatter Plot - Python - How to Create a Scatter Plot
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69
Scatter Plot - R - How to Create a Scatter Plot
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70
Scatter Plot - Interpretation
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71
Scatter Plot - What Makes a Good Scatter Plot
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72
Scatter Plot - Homework
Combo Plots Part 2 - Bar and Line Chart
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73
Regression Plot - Introduction - General Theory and Dataset
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74
Regression Plot - Excel - How to Create a Regression Plot
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75
Regression Plot - Tableau - How to Create a Regression Plot
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76
Regression Plot - Python - How to Create a Regression Plot
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77
Regression Plot - R - How to Create a Regression Plot
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78
Regression Plot - Interpretation
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79
Regression Plot - What Makes a Good Regression Plot
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80
Regression Plot - Homework
Advanced Topics - Dashboards, Pivot Dashboard - Excel
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81
Bar and Line Chart - Introduction - General Theory and Dataset
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82
Bar and Line Chart - Excel - How to Create a Bar and Line Plot
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83
Bar and Line Chart - Tableau - How to Create a Bar and Line Plot
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84
Bar and Line Chart - Python - How to Create a Bar and Line Plot
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85
Bar and Line Chart - R - How to Create a Bar and Line Plot
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86
Bar and Line Chart - Interpretation
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87
Bar and Line Chart - What Makes a Good Bar and Line Chart
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88
Bar and Line Chart - Homework
You can view and review the lecture materials indefinitely, like an on-demand channel.
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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