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UdemyData SciencePaid courseBeginner levelCertificate

Introduction to Data Visualization (Udemy.com)

Simple and Advanced Charts: Bar Chart, Pie Chart, Line Chart, Stacked Area Chart, Scatter Plot, Regression Line Plot

Created by: 365 Careers

Last updated November 2020

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What you will learn

  • Techniques for choosing an appropriate visualization based on your data
  • Approaches to choosing the best colors scheme for a professional presentation
  • How to analyze and interpret basic charts such as bar chart and pie chart
  • How to analyze and interpret more advanced charts such as histograms, line charts, scatter plots, stacked area charts
  • Steps to analyze and interpret combination charts like regression plots and bar and line charts
  • Guidelines and advice on how to build professional data visualizations
  • What to try and avoid when creating a certain type of graphic
  • How to recognize a well-made visualization and identify problem areas for a chart or graphic

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.5 out of 5higher than 46% of them
  • Reviews1,810#99 of 462 by number of reviews
  • Length2 hoursshorter than 89% of them
  • Last updatedNovember 2020earlier than 89% of them

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Course Description

Do you wish you had superior data interpretation skills?

Does your workplace require data visualization proficiency?

Do you wish to learn about a rich variety of graphs and charts?


If you answered “yes” to any of these questions, this is the course for you.

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.

That’s why we’ve created the ‘Introduction to Data Visualization Course’. To help you better understand and interpret different types of charts:

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. At the end of the day, data charts are what conveys the most information in the shortest amount of time. And nothing speaks better than a well-crafted and meaningful data visualization.

The skills you acquire during the course will help you develop an analytical approach when creating any type of chart based on the data you’re given.

At the same time, you’ll be able to interpret charts in general, so you’ll be on top of your game whenever you’re examining someone else’s work. You’ll be able to gain insight from a chart in a short amount of time, as well as spot if something is wrong or missing from a visualization.

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 –understanding 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!

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Instructor Details

365 Careers

365 Careers is the #1 best-selling provider of business, finance, data science and AI courses on Udemy. The company’s courses have been taken by more than 4,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.    

Currently, 365 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, Data literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy

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

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Reviews

4.5

1,810 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Bhoomika Rohite on 10/8/2026

it is very useful and understanding session

By Harsh Lilhare on 9/17/2026

The force is very interesting I am successfully complete the course I like it

By Sreyus Sajeev on 7/24/2026

Thw course was truly helpful and i learned a lot

By Daniel Rivas Echeverria on 5/18/2026

Very useful and motivational to go deep into data visualization and data engineering in my case

By Tanzeem Rana on 4/26/2026

The course provided well‑explained concepts supported by practical, real‑life examples, which made the learning experience engaging and easy to relate to everyday scenarios.

By Durga Mani Pothula on 4/9/2026

it is better to have hands-on for each plot. Only bar plot has the coding part.

By Tonja Bradley on 3/27/2026

This gave me a good foundation on the various types of charts and their uses.

By Arjya Paul on 2/24/2026

only the implementation of bar graph was displayed using python, rest only theory not very much useful

By Anonymized User on 2/8/2026

This adds value to the workplace by enhancing and supporting organizational objectives

By Anonymized User on 1/12/2026

knowledgeable session on how to prepare effective charts while preparing the reports.

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Read all 1,810 reviews on Udemy

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Overall Score : 90 / 100