Online Course
The Complete Data Visualization Course with Python, R, Tableau, and Excel

Name: Data Visualization with Python, R, Tableau, and Excel
Price: 36 USD

Master the art of creating compelling data visualizations: learn how to create professional charts in Python, R, Tableau, and Excel

4.8

862 reviews on

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31,564 students already enrolled

Skill level:

Basic

Duration:

10 hours

Lessons (9 hours)

Practice exams (38 minutes)

Projects (5 hours)

CPE credits:

12.5

CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited

certificate

What you learn

Gain a solid understanding of data visualization fundamentals and theory
Learn how to create professional and aesthetically pleasing charts in Python, R, Tableau, and Excel
Understand how to select the right type of chart depending on the problem at hand
Develop expertise in interpreting data and communicating your findings through data visualizations
Boost your resume and career prospects with highly sought-after data visualization skills
Enhance your project portfolio with compelling data visualizations and impress recruiters and hiring managers

Topics & tools

Data VisualizationDashboardPythonTableauRExcelTheory

Your instructor

Elitsa Kaloyanova

Senior Data Scientist at 365 Data Science | Computational Biologist | Data Visualization Expert

Track record

Bringing real-world expertise from leading global companies

Academic background

Master's degree, Bioinformatics

Ask Elitsa a question

Course overview

Accredited certificates

Course OVERVIEW

Description

CPE Credits: 12.5 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study

The Data Visualization course is designed for everyone looking to deepen their understanding of creating meaningful and compelling visualizations. Whether you’re coming from a business or data science-related field, knowledge in data visualization is both important and advantageous. That’s precisely why this course is centered not in just one, but four different environments: Excel, Tableau, Python, and R. Each section is dedicated to a specific type of chart – bar charts, pie charts, area charts, line charts and many more. In addition, there are lectures that specifically explore what to avoid when creating a certain graphic. You can stick with your preferred environment and follow each section. Or you could master all four environments and add indispensable skills to your data visualization toolset.

Prerequisites

Python (any recent version, such as Python 3.8 or later) and a code editor or IDE (e.g., Spyder, VS Code, or Jupyter Notebook)
Tableau Desktop or Tableau Public
Completion of an introductory Python course is recommended. Completion of an introductory Tableau course is recommended.

Advanced preparation

Curriculum

108 lessons 6 exercises 1 project 5 exams

1. Introduction

27 min

In this section, you will learn about the importance of data visualization, as well as some theoretical foundations for creating charts. We introduce popular frameworks for choosing an appropriate visualization for your data, discuss color theory, and show different approaches to selecting the colors for your graphic.

27 min

In this section, you will learn about the importance of data visualization, as well as some theoretical foundations for creating charts. We introduce popular frameworks for choosing an appropriate visualization for your data, discuss color theory, and show different approaches to selecting the colors for your graphic.

What does the Course Cover Free

Why Learn Data Visualization Free

Exercise Free

How to Choose the Right Visualization - Popular Approaches and Frameworks Free

Exercise Free

Color Theory and Colors Free

Exercise Free
2. Setting Up the Environments

39 min

Here, we set up different environments for the course. First, we will guide you through the installation process for Tableau. Then, you will get familiar with the step-by-step process of installing Anaconda and Jupyter and an introductory tour of the Jupyter Dashboard for Python. Finally, you’ll learn how to install R and R studio, explore the latter’s main features and learn how to customize its appearance.

39 min

Here, we set up different environments for the course. First, we will guide you through the installation process for Tableau. Then, you will get familiar with the step-by-step process of installing Anaconda and Jupyter and an introductory tour of the Jupyter Dashboard for Python. Finally, you’ll learn how to install R and R studio, explore the latter’s main features and learn how to customize its appearance.

Setting Up The Environments - Do Not Skip, Please! Free

Tableau - Downloading Tableau Free

Python - Why Python and Why Jupyter Free

Python - Installing Anaconda Free

Python - Jupyter Dashboard - Part 1 Free

Python - Jupyter Dashboard - Part 2 Free

Python - Installing the Seaborn Package Free

R - Installing R and RStudio Free

R - Quick Guide to RStudio Free

R - Changing the Appearance in Rstudio Free

R - Installing Packages and Using Libraries Free
3. Bar Chart

52 min

We dive straight into visualization with the bar chart! We will take a look at a data set for second-hand car advertisements and use it to create a bar chart in Excel, Tableau, Python, and R. We’ll also lift the curtain on the key elements to making an outstanding bar chart.

52 min

We dive straight into visualization with the bar chart! We will take a look at a data set for second-hand car advertisements and use it to create a bar chart in Excel, Tableau, Python, and R. We’ll also lift the curtain on the key elements to making an outstanding bar chart.

Bar Chart - Introduction - General Theory and Dataset Free

Bar Chart - Excel - How to Create a Bar Chart Free

Bar Chart - Tableau - How to Create a Bar Chart Free

Bar Chart - Python - How to Create a Bar Chart Free

Bar Chart - R - How to Create a Bar Chart Free

Bar Chart - Interpretation & What Makes a Good Bar Chart Free

Bar Chart Homework Free

Practice exam Free
4. Pie Chart

41 min

In this section, we explore pie charts, which, despite criticism, are among the most popular visualizations. You will learn how to create a pie chart of engine fuel types in Excel, Tableau, Python, and R, and discover what to avoid when making a pie chart.

41 min

In this section, we explore pie charts, which, despite criticism, are among the most popular visualizations. You will learn how to create a pie chart of engine fuel types in Excel, Tableau, Python, and R, and discover what to avoid when making a pie chart.

Pie Chart - Introduction - General Theory and Dataset

Pie Chart - Excel - How to Create a Pie Chart

Pie Chart - Tableau - How to Create a Pie Chart

Pie Chart - Python - How to Create a Pie Chart

Pie Chart - R - How to Create a Pie Chart

Pie Chart - Interpretation

Pie Chart - Why You Should Never Use a Pie Chart

Practice exam

Exercise
5. Stacked Area Chart

43 min

Here, you will create your own stacked area chart. Once again, our data follows the automobile theme with one additional element - time series, as the chart follows the popularity of different engine fuel types across the years.

43 min

Here, you will create your own stacked area chart. Once again, our data follows the automobile theme with one additional element - time series, as the chart follows the popularity of different engine fuel types across the years.

Stacked Area Chart - Introduction - General Theory and Dataset

Stacked Area Chart - Excel - How to Create a Stacked Area Chart

Stacked Area Chart - Tableau - How to Create a Stacked Area Chart

Stacked Area Chart - Python - How to Create a Stacked Area Chart

Stacked Area Chart - R - How to Create a Stacked Area Chart

Stacked Area Chart - Interpretation

Stacked Area Chart - What Makes a Good Stacked Area Chart

Stacked Area Chart Homework

Practice exam
6. Line Chart

43 min

In this section, we continue discussing time series data. We will turn our attention to the financial world and explore the stock market returns for two major indices: S&P 500 and FTSE 100. In conclusion, you’ll find out the advantages of using a line chart and what you should be wary of when creating one.

43 min

In this section, we continue discussing time series data. We will turn our attention to the financial world and explore the stock market returns for two major indices: S&P 500 and FTSE 100. In conclusion, you’ll find out the advantages of using a line chart and what you should be wary of when creating one.

Line Chart - Introduction - General Theory and Dataset

Line Chart - Excel - How to Create a Line Chart

Line Chart - Tableau - How to Create a Line Chart

Line Chart - Python - How to Create a Line Chart

Line Chart - R - How to Create a Line Chart

Line Chart - Interpretation

Line Chart - What Makes a Good Line Chart

Line Chart Homework
7. Histogram

44 min

This section centers around the histogram – an integral part of the data analysis process. We will create a histogram of the price of California's real estate. Here, we devote an extra lecture and explore how to choose the right number of bins for your histogram.

44 min

This section centers around the histogram – an integral part of the data analysis process. We will create a histogram of the price of California's real estate. Here, we devote an extra lecture and explore how to choose the right number of bins for your histogram.

Histogram - Introduction - General Theory and Dataset

Histogram - Excel - How to Create a Histogram Chart

Histogram - Tableau - How to Create a Histogram

Histogram - Python - How to Create a Histogram

Histogram - R - How to Create a Histogram

Histogram - Interpretation

Histogram - How to Choose the Right Number of Bins

Histogram - What Makes a Good Histogram

Histogram Homework
8. Scatter Plot

38 min

In this section, you will learn how to create a scatter plot of real estate data. First, we’ll observe the relationship between California's real estate pricing and the area of properties. Then, you’ll make a scatter plot in Excel, Tableau Python, and R and finish the section with valuable tips on what makes a good scatter plot.

38 min

In this section, you will learn how to create a scatter plot of real estate data. First, we’ll observe the relationship between California's real estate pricing and the area of properties. Then, you’ll make a scatter plot in Excel, Tableau Python, and R and finish the section with valuable tips on what makes a good scatter plot.

Scatter Plot - Introduction - General Theory and Dataset

Scatter Plot - Excel - How to Create a Scatter Plot

Scatter Plot - Tableau - How to Create a Scatter Plot

Scatter Plot - Python - How to Create a Scatter Plot

Scatter Plot - R - How to Create a Scatter Plot

Scatter Plot - Interpretation

Scatter Plot - What Makes a Good Scatter Plot

Scatter Plot Homework
9. Combo Plots Part 1 - Regression Plot

35 min

We’ll explore a combination chart of a scatter and a regression line by using marketing data and a regression line to quantify the relationship between a company’s advertising budget and its sales. You will learn how to create a regression scatter in Excel, Tableau, Python, and R, and discover different types of relationships between features in data. the model residuals can be beneficial in model selection.

35 min

We’ll explore a combination chart of a scatter and a regression line by using marketing data and a regression line to quantify the relationship between a company’s advertising budget and its sales. You will learn how to create a regression scatter in Excel, Tableau, Python, and R, and discover different types of relationships between features in data. the model residuals can be beneficial in model selection.

Regression Plot - Introduction - General Theory and Dataset

Regression Plot - Excel - How to Create a Regression Plot

Regression Plot - Tableau - How to Create a Regression Plot

Regression Plot - Python - How to Create a Regression Plot

Regression Plot - R - How to Create a Regression Plot

Regression Plot - Interpretation

Regression Plot - What Makes a Good Regression Plot

Regression Plot Homework
10. Combo Plots Part 2 - Bar and Line Chart

37 min

In this section, we’ll create a combination chart with a dual-axis. Our data centers around data science and Python programmers and comes from the annual KD Nuggets survey. We’ll get a chance to delve deeper into each of the four software, as we learn how to create combination charts.

37 min

In this section, we’ll create a combination chart with a dual-axis. Our data centers around data science and Python programmers and comes from the annual KD Nuggets survey. We’ll get a chance to delve deeper into each of the four software, as we learn how to create combination charts.

Bar and Line Chart - Introduction - General Theory and Dataset

Bar and Line Chart - Excel - How to Create a Bar and Line Chart

Bar and Line Chart - Tableau - How to Create a Bar and Line Chart

Bar and Line Chart - Python - How to Create a Bar and Line Chart

Bar and Line Chart - R - How to Create a Bar and Line Chart

Bar and Line Chart - Interpretation

Bar and Line Chart - What Makes a Good Combination Chart

Bar and Line Chart Homework

Practice exam
11. Advanced Topics - Dashboard in Excel

88 min

We’ll work on real-life data and create a dashboard in Excel. Our dashboard will center on creating a report for a large company operating in the FMCG sector. The star of the report will be the two custom filters, which will slice the data based on the period we’re interested in.

88 min

We’ll work on real-life data and create a dashboard in Excel. Our dashboard will center on creating a report for a large company operating in the FMCG sector. The star of the report will be the two custom filters, which will slice the data based on the period we’re interested in.

Dashboard in Excel - Introduction

Dashboard in Excel- Getting to Know the Data Set

Dashboard in Excel- Creating the Design for our Dashboard

Dashboard in Excel– Creating a Drop-down List and Radio Buttons in Excel

Dashboard in Excel – Using the Developer Tab and Creating Radio Buttons in Excel

Dashboard in Excel – Including Additional Features to the Data Set

Dashboard in Excel - Pivot Tables

Dashboard in Excel - Tables – Creating LTM and YTD References in Excel

Dashboard in Excel - Tables – Creating Month, Year and Selected Dates Fields in Excel

Dashboard in Excel – Tables -Calculating Net Sales

Dashboard in Excel – Tables -Calculating GP% and Distribution Costs

Dashboard in Excel - Tables – Volume by Size

Dashboard in Excel – Charts - Bar and Line Combination Chart

Dashboard in Excel Homework

Dashboard in Excel - Charts – Clustered Bar Chart I

Dashboard in Excel - Charts – Clustered Bar Chart II

Dashboard in Excel – Adding KPIs and a Slicer to the Dashboard

Dashboard in Excel - Customizing the Appearance of the Dashboard

Dashboard in Excel - Customizing the Appearance of the Slicer

Dashboard in Excel - Interpretation
12. Advanced Topics - Dashboard in Tableau

40 min

In this section, we’ll rely on Tableau’s capabilities to create a dynamic report for a company based on real-world data. Our dashboard will include a custom time filter, as well as a brand filter and we’ll even devise our very own custom design template for the dashboard.

40 min

In this section, we’ll rely on Tableau’s capabilities to create a dynamic report for a company based on real-world data. Our dashboard will include a custom time filter, as well as a brand filter and we’ll even devise our very own custom design template for the dashboard.

Dashboard in Tableau - Introduction

Dashboard in Tableau - Loading the Data and Preparing the Sheets for the Tableau Dashboard

Dashboard in Tableau - Bar and Line Combination Chart

Dashboard in Tableau - Horizontal Bars Chart I

Dashboard in Tableau - Horizontal Bars Chart II

Dashboard in Tableau - Adding KPIs to the Tableau Dashboard

Dashboard in Tableau - Creating the Tableau Dashboard and Adding a Brand Filter

Dashboard in Tableau - Incorporating a Date Filter into the Dashboard

Dashboard in Tableau - Styling the Tableau Dashboard

Dashboard in Tableau - Interpretation
13. Course project and exam

345 min

345 min

Student Onboarding Analysis in Tableau Project

Course exam

Free lessons

1.1 What does the Course Cover

5 min

1.2 Why Learn Data Visualization

6 min

1.4 How to Choose the Right Visualization - Popular Approaches and Frameworks

7 min

1.6 Color Theory and Colors

9 min

2.1 Setting Up The Environments - Do Not Skip, Please!

1 min

2.2 Tableau - Downloading Tableau

2 min

Start for free

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