Udemy
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
Development
Web Development Data Science Mobile Development Programming Languages Game Development Database Design & Development Software Testing Software Engineering Development Tools No-Code Development
Business
Entrepreneurship Communications Management Sales Business Strategy Operations Project Management Business Law Business Analytics & Intelligence Human Resources Industry E-Commerce Media Real Estate Other Business
Finance & Accounting
Accounting & Bookkeeping Compliance Cryptocurrency & Blockchain Economics Finance Finance Cert & Exam Prep Financial Modeling & Analysis Investing & Trading Money Management Tools Taxes Other Finance & Accounting
IT & Software
IT Certification Network & Security Hardware Operating Systems Other IT & Software
Office Productivity
Microsoft Apple Google SAP Oracle Other Office Productivity
Personal Development
Personal Transformation Personal Productivity Leadership Career Development Parenting & Relationships Happiness Esoteric Practices Religion & Spirituality Personal Brand Building Creativity Influence Self Esteem & Confidence Stress Management Memory & Study Skills Motivation Other Personal Development
Design
Web Design Graphic Design & Illustration Design Tools User Experience Design Game Design Design Thinking 3D & Animation Fashion Design Architectural Design Interior Design Other Design
Marketing
Digital Marketing Search Engine Optimization Social Media Marketing Branding Marketing Fundamentals Marketing Analytics & Automation Public Relations Advertising Video & Mobile Marketing Content Marketing Growth Hacking Affiliate Marketing Product Marketing Other Marketing
Lifestyle
Arts & Crafts Beauty & Makeup Esoteric Practices Food & Beverage Gaming Home Improvement Pet Care & Training Travel Other Lifestyle
Photography & Video
Digital Photography Photography Portrait Photography Photography Tools Commercial Photography Video Design Other Photography & Video
Health & Fitness
Fitness General Health Sports Nutrition Yoga Mental Health Dieting Self Defense Safety & First Aid Dance Meditation Other Health & Fitness
Music
Instruments Music Production Music Fundamentals Vocal Music Techniques Music Software Other Music
Teaching & Academics
Engineering Humanities Math Science Online Education Social Science Language Teacher Training Test Prep Other Teaching & Academics
AWS Certification Microsoft Certification AWS Certified Solutions Architect - Associate AWS Certified Cloud Practitioner CompTIA A+ Cisco CCNA Amazon AWS CompTIA Security+ AWS Certified Developer - Associate
Graphic Design Photoshop Adobe Illustrator Drawing Digital Painting InDesign Character Design Canva Figure Drawing
Life Coach Training Neuro-Linguistic Programming Personal Development Mindfulness Meditation Personal Transformation Life Purpose Emotional Intelligence Neuroscience
Web Development JavaScript React CSS Angular PHP WordPress Node.Js Python
Google Flutter Android Development iOS Development Swift React Native Dart Programming Language Mobile Development Kotlin SwiftUI
Digital Marketing Google Ads (Adwords) Social Media Marketing Google Ads (AdWords) Certification Marketing Strategy Internet Marketing YouTube Marketing Email Marketing Google Analytics
SQL Microsoft Power BI Tableau Business Analysis Business Intelligence MySQL Data Analysis Data Modeling Big Data
Business Fundamentals Entrepreneurship Fundamentals Business Strategy Online Business Business Plan Startup Freelancing Blogging Home Business
Unity Game Development Fundamentals Unreal Engine C# 3D Game Development C++ 2D Game Development Unreal Engine Blueprints Blender
30-Day Money-Back Guarantee
Development Data Science Data Visualization

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
Rating: 4.5 out of 54.5 (376 ratings)
3,473 students
Created by 365 Careers
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

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)
Curated for the Udemy for Business collection

Course content

12 sections • 114 lectures • 8h 52m total length

  • Preview05:14
  • Preview06:08
  • Quiz 1
    1 question
  • Preview06:58
  • How to Choose the Right Visualization - Popular Approaches
    2 questions
  • Preview08:56
  • Colors and Color Theory
    1 question
  • How to Choose the Right Data Visualization Color Palette
    05:39
  • FAQ
    08:02

  • Preview00:52
  • Tableau - Downloading Tableau
    01:36
  • Python - Why Python and Why Jupyter
    05:10
  • Python - Installing Anaconda
    03:31
  • Python - Jupyter Dashboard - Part 1
    02:38
  • Python - Jupyter Dashboard - Part 2
    05:34
  • Python - Installing the Seaborn Package
    01:20
  • R - Installing R and RStudio
    03:25
  • R - Quick Guide to RStudio
    07:47
  • R - Changing the Appearance in RStudio
    01:46
  • R - Installing Packages and Using Libraries
    04:05

  • Preview01:43
  • Download all resources
    00:03
  • Preview10:56
  • Preview09:55
  • Preview11:27
  • Preview14:18
  • Preview02:58
  • Bar Chart - Homework
    00:42
  • Bar Chart - Homework II
    00:16

  • Pie Chart - Introduction - General Theory and Dataset
    04:04
  • Pie Chart - Excel - How to Create a Pie Chart
    05:08
  • Pie Chart - Tableau - How to Create a Pie Chart
    04:43
  • Pie Chart - Python - How to Create a Pie Chart
    06:39
  • Pie Chart - R - How to Create a Pie Chart
    10:14
  • Pie Chart - Interpretation
    01:32
  • Preview07:32
  • Pie Chart
    2 questions

  • Stacked Area Chart - Introduction - General Theory and Dataset
    03:16
  • Stacked Area Chart - Excel - How to Create an Stacked Area Chart
    07:45
  • Stacked Area Chart - Tableau - How to Create an Stacked Area Chart
    05:56
  • Stacked Area Chart - Python - How to Create an Stacked Area Chart
    07:48
  • Stacked Area Chart - R - How to Create an Stacked Area Chart
    09:52
  • Preview02:30
  • Stacked Area Chart - What Makes a Good Stacked Area Chart
    03:52
  • Stacked Area Chart Homework
    00:19
  • Stacked Area Chart Homework II
    00:29

  • Line Chart - Introduction - General Theory and Dataset
    02:03
  • Line Chart - Excel - How to Create a Line Chart
    04:21
  • Line Chart - Tableau - How to Create a Line Chart
    08:25
  • Line Chart - Python - How to Create a Line Chart
    08:05
  • Line Chart - R - How to Create a Line Chart
    09:42
  • Line Chart - Interpretation
    03:11
  • Line Chart - What Makes a Good Line Chart
    06:30
  • Line Chart Homework
    00:20

  • Histogram - Introduction - General Theory and Dataset
    04:39
  • Histogram - Excel - How to Create a Histogram Chart
    05:31
  • Histogram - Tableau - How to Create a Histogram Chart
    07:41
  • Histogram - Python - How to Create a Histogram Chart
    05:43
  • Histogram - R - How to Create a Histogram Chart
    05:44
  • Histogram - Interpretation
    02:11
  • Histogram - How to Choose the Right Number of Bins
    05:28
  • Histogram - What Makes a Good Histogram Chart
    04:43
  • Histogram - Homework
    00:21

  • Scatter Plot - Introduction - General Theory and Dataset
    02:29
  • Scatter Plot - Excel - How to Create a Scatter Plot
    05:27
  • Scatter Plot - Tableau - How to Create a Scatter Plot
    07:01
  • Scatter Plot - Python - How to Create a Scatter Plot
    08:39
  • Scatter Plot - R - How to Create a Scatter Plot
    08:00
  • Scatter Plot - Interpretation
    02:42
  • Scatter Plot - What Makes a Good Scatter Plot
    02:56
  • Scatter Plot - Homework
    00:13

  • Regression Plot - Introduction - General Theory and Dataset
    03:03
  • Regression Plot - Excel - How to Create a Regression Plot
    05:46
  • Regression Plot - Tableau - How to Create a Regression Plot
    05:26
  • Regression Plot - Python - How to Create a Regression Plot
    07:08
  • Regression Plot - R - How to Create a Regression Plot
    04:35
  • Regression Plot - Interpretation
    04:36
  • Regression Plot - What Makes a Good Regression Plot
    03:14
  • Regression Plot - Homework
    00:14

  • Bar and Line Chart - Introduction - General Theory and Dataset
    03:10
  • Bar and Line Chart - Excel - How to Create a Bar and Line Plot
    08:03
  • Bar and Line Chart - Tableau - How to Create a Bar and Line Plot
    04:48
  • Bar and Line Chart - Python - How to Create a Bar and Line Plot
    07:39
  • Bar and Line Chart - R - How to Create a Bar and Line Plot
    04:59
  • Bar and Line Chart - Interpretation
    02:36
  • Bar and Line Chart - What Makes a Good Bar and Line Chart
    04:04
  • Bar and Line Chart - Homework
    01:06

Requirements

  • No prior experience is required. We will start from the very basics
  • You’ll need to install at least one of the 4 software (Excel, Tableau, Python, or R). We will show you how to do that step by step

Description

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

Instructor

365 Careers
Creating opportunities for Business & Finance students
365 Careers
  • 4.5 Instructor Rating
  • 388,717 Reviews
  • 1,332,003 Students
  • 68 Courses

365 Careers is the #1 best-selling provider of finance courses on Udemy. The company’s courses have been taken by more than 1,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.  

Currently, the firm focuses on the following topics on Udemy:  

1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA

2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics

3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing

4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook

5) Blockchain for Business

All of the company’s courses are:  

Pre-scripted  

Hands-on  

Laser-focused  

Engaging  

Real-life tested  

By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.  

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers’ courses are the perfect place to start. 

  • Udemy for Business
  • Teach on Udemy
  • Get the app
  • About us
  • Contact us
  • Careers
  • Blog
  • Help and Support
  • Affiliate
  • Terms
  • Privacy policy
  • Cookie settings
  • Sitemap
  • Featured courses
Udemy
© 2021 Udemy, Inc.