Data Visualization Courses
These data visualization courses teach tools like Tableau, Power BI, Python, and R to create compelling graphics. You’ll turn spreadsheets into clear charts that reveal patterns and help stakeholders see the big picture.
Data Visualization Courses
These data visualization courses teach tools like Tableau, Power BI, Python, and R to create compelling graphics. You’ll turn spreadsheets into clear charts that reveal patterns and help stakeholders see the big picture.
Showing 30 of 30 courses
- 19 courses 15 projects 97 hours 469K+
Junior Data Analyst
You'll begin with Excel, where you'll learn how to manipulate data using complex formulas, commands, and tools. Next, you'll transition into SQL, becoming familiar with querying, exploring, and handling data from multiple sources. Lastly, you'll dive into Python, learning the fundamentals of programming, statistical analysis, and data visualization. This progressive learning journey is designed for both aspiring data professionals and those looking to enhance their data skills. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Python SQLStart career path → - 38 courses 27 projects 171 hours 450K+
Data Scientist in Python Certificate Program
In this path, you'll develop key technical skills for data scientists, including object-oriented and functional programming with Python, along with libraries like scikit-learn, Matplotlib, NumPy, and pandas. You'll also learn web scraping, SQL queries, deep learning, machine learning, and predictive analysis. To help you stand out, you'll explore tools like the UNIX command line, Git, and GitHub for better collaboration. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Python SQLStart career path → - 27 courses 19 projects 144 hours 440K+
Data Analyst in Python
In this path, you'll learn the fundamentals of Python, as well as how to prepare and extract data by querying databases with SQL, how to create insightful data visualization, and how to perform descriptive and predictive statistical analysis. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Python SQLStart career path → - 12 courses 11 projects 77 hours 406K+
Probability and Statistics with Python
In this path, you'll learn the foundations of statistics such as sampling, working with variables, and understanding frequency distribution tables and the fundamentals of probability and how to use them for analysis. You'll also learn how to create and test hypotheses with significance testing, and how to make forecasts based on patterns and trends with real-world data. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Python Data ScienceStart skill path → - 9 courses 8 projects 64 hours 401K+
Data Cleaning with Python
In this path, you'll gain the fundamental skills to begin cleaning data, using the powerful tools offered by Python such as identifying and removing inaccurate records from a dataset. You'll learn how to manipulate, analyze, and visualize data using premier Python libraries such as Pandas and Numpy. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Python Data ScienceStart skill path → - 7 courses 6 projects 47 hours 397K+
Data Analysis and Visualization with Python
In this path, you will gain experience in manipulating, comparing, and presenting compelling and actionable data and you'll discover the best methods for visualizing data using line graphs, histograms, bar charts, scatter plots, and more. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Python Data ScienceStart skill path → - 15 courses 10 projects 51 hours 111K+
Business Analyst with Power BI
You'll learn the fundamentals of data analysis in Excel, including how to explore and extract data from datasets using SQL, how to perform descriptive statistical analysis, and how to present insights using dashboards and visualizations in Power BI. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser. You'll apply your skills to several guided projects with realistic business scenarios to build your portfolio and prepare for your next interview. By the end of the career path, you'll be ready for the official Microsoft Power BI Data Analyst certification PL-300, an in-demand assessment that certifies your skills in Power BI.
Beginner Excel Power BIStart career path → - 14 courses 10 projects 46 hours 102K+
Business Analyst with Tableau
You'll learn the fundamentals of data analysis in Excel, including how to explore and extract data from datasets using SQL. You'll also learn how to build informative data visualizations using a variety of chart types, as well as how to present insights to audiences using Tableau. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser. You'll apply your skills to several guided projects with realistic business scenarios to build your portfolio and prepare for your next interview. By the end of the career path, you'll be ready for the official Tableau Desktop Specialist Certification, an in-demand assessment that certifies your skills in Tableau.
Beginner Excel TableauStart career path → - 23 courses 18 projects 85 hours 93K+
Data Analyst in R
In this path, you'll learn the fundamentals of R and build upon them with more advanced skills. You'll learn how to use RStudio, applications and tools, tidyverse, DataFrames, tibbles, operators, expressions, and much more - as well as data visualization, graphs, plots, and charts. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner R SQLStart career path → - 5 courses 3 projects 21 hours 52K+
Learn SQL Skills for Data Analysis
In this path, you'll become familiar with SQL syntax and master the frequently used commands. You'll also learn how to use string patterns and ranges to query data, how to sort and group data, and how to write perfect queries to extract and analyze data from real SQL databases. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner SQL Data ScienceStart skill path → - 5 courses 4 projects 22 hours 13K+
Data Literacy and Introduction to Data Analysis using Excel
We designed this skill path for aspiring data professionals with little experience, and learners who use basic Excel in their daily jobs. You'll learn how to manipulate data using complex formulas, commands, and tools, such as macros, pivot tables, and advanced graphs. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Excel Data ScienceStart skill path → - 5 courses 3 projects 10 hours 12K+
Analyzing Data with Microsoft Power BI
In this path, developed in collaboration with Microsoft, you'll learn how to use Microsoft Power BI to analyze, clean, explore, and visualize data. By completing the path, you'll be prepared to take the PL-300 exam. With this certification in hand, you'll let existing or future employers know that you carry Microsoft's stamp of approval when it comes to Power BI. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Power BI Data ScienceStart skill path → - 1 courses 1 projects 4 hours 8.6K+
Data Visualization with R
In this path, you will gain experience in manipulating, comparing, and presenting compelling and actionable data and you'll discover the best methods for visualizing data using line graphs, histograms, bar charts, scatter plots, and more. You'll learn how to use R programming and ggplot2 to create meaningful data visualizations. Ggplot2, which is a part of tidyverse, is an R package for data visualization. It's one of the most versatile and easy-to-use tools for creating elegant graphics using R, and it's the main focus of this path. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Intermediate R Data VisualizationStart skill path → -
Free
3 courses 0 hours 5.5K+
Zero to GPT
This course stars with the fundamentals - neural network architectures and training methods. Later in the course, we'll explore complex topics like transformers, GPU programming, and distributed training. You'll need to understand Python to take this course, including for loops, functions, and classes. The first part of this Dataquest path will teach you what you need. To get the most out of this course, go through each chapter sequentially. Read the lessons or watch the optional videos - they have the same information. Look through the implementations to solidify your understanding, and recreate them on your own.
Intermediate Data Science Data AnalysisStart skill path → - 4 courses 3 projects 12 hours 4.6K+
Data Visualization with Tableau
In this path, you'll gain the Tableau foundation you need to prepare, explore, create, and analyze data visualizations. Not only will you learn the best practices and formatting techniques to create charts and interpret them in various business scenarios, but you'll also learn to build dashboards and master techniques to communicate your insights and tell a story. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser. We'll help you apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Tableau Data ScienceStart skill path → - 6 lessons 8 hours 28K+
Introduction to Statistics in Python
In this course, you'll learn several techniques for sampling data, such as random sampling and cluster sampling; you'll also learn concepts such as discrete variables and random variables in the context of frequency distributions - and the different types of charts and graphs you might use to visualize frequency distributions. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview. In the guided project, you'll investigate Fandango Movie Ratings to determine if Fandango is inflating movie ratings on its site. This project is a chance for you to apply the statistics skills you've learned and overcome common setbacks in practical data analysis.
Intermediate Python StatisticsStart course → - 6 lessons 7 hours 23K+
Introduction to Data Visualization in Python
In this course, you'll learn how to balance graph creation and statistics in your visualizations using tools such as Matplotlib and Seaborn. Throughout this course, you'll learn the most common methods and techniques to visualize data using a variety of Python libraries. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Intermediate Python MatplotlibStart course → - 5 lessons 5 hours 17K+
Telling Stories Using Data Visualization and Information Design
This particular course is for intermediate Python users, and it builds upon the essentials covered in our previous Python visualization lessons. You'll learn how to use Python libraries like Matplotlib and Seaborn to transform raw data into compelling and actionable visualizations. You'll learn the most common data visualization techniques, and you'll use Python to generate beautiful, insightful, and meaningful visuals that will give new life to your data. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Intermediate Python MatplotlibStart course → - 6 lessons 8 hours 13K+
Intermediate Statistics in Python
In this course, you'll learn how to summarize distributions using the mean, the median, and the mode, as well as when to use them. It will teach you which statistic gives you the most information about a distribution so you know not only how to apply them but also why you should. You'll then learn to measure variability using variance or standard deviation, and how to locate and compare values using z-scores. We'll then explore range, mean absolute deviation, variance, and standard deviation. You'll also learn about z-Scores and how to use them to compare values across any distribution. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser. At the end of the course, you'll complete a guided project that asks you to find the best markets for advertising an e-learning platform that combines your data science programming skills and the statistical skills you've learned in this course.
Intermediate Python StatisticsStart course → - 5 lessons 4 hours 8.6K+
Introduction to Data Visualization in R
In data science, it's not enough to be able to analyze data. You must also be able to create compelling visualizations to share your insights and help people understand your findings. In this course, you'll learn the ggplot2 package, a powerful data visualization library for R. You'll also learn how to add and work with multiple plots in your code to show different visualizations. By the end of this course, you'll be able to create visualizations such as line charts, bar plots, scatter plots, histograms, and box plots to help others understand your data. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser. At the end of the course, we'll conclude with a guided data science project that uses real-world data about forest fires in Portugal.
Intermediate R ggplot2Start course → - 5 lessons 5 hours 4.2K+
Visualizing Data in Excel
This course is part of the "Introduction to Data Analysis with Excel" skill path, which we designed for those seeking the practical skills in Excel to perform data analysis and visualization - and ultimately help organizations make better-informed decisions. We designed it for aspiring data professionals with little experience and learners who use basic Excel in their daily jobs and want to enhance their skills. In this course, you'll learn how to use graphs and charts to design insightful data visualizations for your audience. You'll learn how to use Gestalt principles and pre-attentive attributes and more. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser.
Beginner Excel Data VisualizationStart course → - 7 lessons 3 hours 3.9K+
Learn Data Modeling in Power BI
This interactive course will help you take your first steps in Data Modeling with Microsoft Power BI. You'll learn how to design data models, define key components like dimensions and fact tables, and optimize performance to build robust models for decision-making. No advanced Power BI experience is necessary - we'll start with the basics and guide you every step of the way
Beginner Power BI Data ModelingStart course → - 5 lessons 4 hours 3.8K+
Exploring Data in Excel
This course is part of the "Introduction to Data Analysis with Excel" skill path, which we designed for those seeking the practical skills in Excel to perform data analysis and visualization - and ultimately help organizations make better-informed decisions. We designed it for aspiring data professionals with little experience and learners who use basic Excel in their daily jobs and want to enhance their skills. In this course, you'll learn why we need descriptive statistics, how to explore and apply multiple summary statistics to a spreadsheet in Excel, how to identify which statistics apply to which data type, and how to apply descriptive statistics to groups of data. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser.
Beginner Excel Descriptive StatisticsStart course → - 5 lessons 4 hours 3.0K+
Introduction to Data Analysis Using Microsoft Power BI
In this course, you'll learn the essentials of Microsoft Power BI. You'll start by exploring the Power BI interface, components, and workflow. Then, you'll learn how to import, load, clean, and transform data to prepare it for analysis. Along the way, you'll discover how to organize and simplify your models to make data more manageable. Best of all, you'll learn by doing - you'll practice hands-on tasks and receive instant feedback directly in the browser.
Beginner Power BI Data PreparationStart course → - 5 lessons 2 hours 2.6K+
Learn to Visualize Data in Power BI
In this course, you'll learn the essentials of creating and working with Power BI visuals. You'll start by exploring how to design visuals that bring your data to life and tell compelling stories through reports. Then, you'll learn to design report layouts, enhance navigation, and build interactive dashboards to share insights effectively. Best of all, you'll learn by doing - you'll practice creating visuals, designing reports, and building dashboards, with hands-on tasks and instant feedback directly in the browser.
Beginner Power BI Data VisualizationStart course → - 5 lessons 5 hours 1.4K+
Data Visualization Fundamentals in Tableau
In this course, you'll learn the fundamentals of creating visualizations, common pitfalls, and best practices. You'll also learn how to use the various elements of the Tableau interface, how to create different charts (and their practical uses), and how to transform data using calculated fields and filters. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser.
Beginner Tableau Data VisualizationStart course → - 5 lessons 3 hours 1.0K+
Sharing Insights in Tableau
In this course, you'll learn how to draw an audience's attention to a specific story point or insight by effectively using colors and graph size, and by leveraging annotations and options within the analysis pane. You'll also learn how to make your dashboards more effective by using additional elements such as titles, buttons, images, and webpages. Finally, you'll learn to make your dashboards interactive so that everyone can explore your analysis and conduct deeper data analysis. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser.
Beginner Tableau DashboardsStart course → - 4 lessons 2 hours 965+
Visual Analytics in Tableau
In this course, you'll learn how to employ quick table calculations, add secondary table calculations, and write custom advanced calculations. You'll also learn the various levels of data granularity as well as the aggregation methodology to write LOD expressions (level of detail). You'll learn to make your dashboards interactive using sets, parameters, viz in tooltip and other elements - and you'll also learn to improve their readability by adding and configuring trend lines, reference bands, and distributions. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser.
Beginner Tableau Data InterpretationStart course → - 3 lessons 2 hours 638+
Power BI Analytics
In this course, you'll learn how to use data analytic functions, explore statistical summaries, identify outliers in your data, group data together, bin data for analysis, and perform time series analysis. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser.
Beginner Power BI Data InterpretationStart course → -
Free
3 lessons 6 hours 19+
Foundations of Data Communication
Being data-driven isn't about writing code—it's about understanding and communicating insights clearly. In this course, you'll learn how to tell effective data stories, choose the right charts, and design clear visuals that help others understand what the data is saying. This course is designed for non-technical learners who want to build data literacy and communicate insights with confidence in reports, presentations, and everyday work.
Beginner Data Communication Data LiteracyStart course →
Related resources on Data Visualization
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6 Must-Know Data Visualization Techniques
Although it's a core skill for any data practitioner, data visualization techniques are often taken for granted in many newcomers’ data science learning paths. It may seem trivial to plot a simple chart to show, for instance, that the revenue increased last month.
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10 Impressive Tableau Projects for Your Portfolio
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Learn Data Visualization by building projects
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Free
Project
Finding Heavy Traffic Indicators on I-94
For this project, you’ll assume the role of a data analyst exploring a dataset on westbound traffic on the I-94 Interstate highway. You’ll apply exploratory data visualization techniques to determine indicators of heavy traffic.
10 steps Start project → -
Free
Project
Storytelling Data Visualization on Exchange Rates
For this project, we’ll assume the role of a data analyst tasked with creating an explanatory data visualization about Euro exchange rates to inform and engage an audience.
7 steps Start project → -
Free
Project
Profitable App Profiles for the App Store and Google Play Markets
For this project, we’ll assume the role of data analysts for a company that builds free Android and iOS apps. Our revenue depends on in-app ads, so our goal is to analyze data to determine which kinds of apps attract more users.
14 steps Start project → -
Free
Project
Exploring Hacker News Posts
For this project, we’ll step into the role of data analysts to explore Hacker News submissions, analyzing trends using skills in string manipulation, object-oriented programming, and date handling in Python.
8 steps Start project →
Frequently Asked Questions
How do you choose the right data visualization course for your goals?
Choose a course based on how you want to create visualizations. If you prefer coding, focus on Python or R. If you prefer drag-and-drop tools, look for Tableau or Power BI training.
A good course also teaches core data visualization principles that apply across tools, not just button-clicking. Dataquest covers design fundamentals and provides hands-on practice in each platform.
What is data visualization?
Data visualization is the graphical representation of information. It uses charts, graphs, and maps to make data easier to understand. Dataquest teaches you to choose the right chart for your data and design it for maximum impact.
Is data visualization hard to learn?
The tools are approachable, but good design takes practice. Dataquest teaches you not just how to make a chart, but how to make a good chart that communicates clearly and avoids common mistakes.
What are the best data visualization courses online?
The best data visualization courses focus on practical skills that help you turn data into clear, actionable insights. They teach core principles of visual design, data storytelling, and effective communication.
Dataquest stands out by combining these principles with hands-on projects that build real-world skills you can use on the job and help you advance in your career.
Are data visualization skills still in demand?
Yes. As data becomes more complex, companies need analysts with data visualization skills to turn data insights into clear visuals for decision-makers.
AI can generate charts, but it cannot understand business context or audience needs. Dataquest focuses on building this strategic visualization skill.
What jobs can you get with data visualization skills?
With data visualization skills, you can pursue roles such as:
- Data Visualization Engineer
- BI Developer
- Data Analyst
- Data Journalist
Dataquest helps you build a portfolio of visual projects, which is essential for landing these creative and technical roles.
Do you need a technical background before starting data visualization courses?
No technical background is required. You can start learning data visualization with curiosity and a willingness to practice. A good course begins with the basics, gradually introducing tools and techniques, while focusing on hands-on data visualization projects you can apply in real-world scenarios. Dataquest follows this approach, helping you build practical skills step by step.
How does data visualization fit into advanced data roles?
Data visualization is essential in advanced data roles for turning complex data into clear insights. Analysts, data engineers, and other data professionals use visuals to explore patterns, validate results, and communicate findings effectively. Combined with skills like advanced Excel and data modeling, data visualization helps transform raw data into actionable, easy-to-understand insights.
What is the best way to learn data visualization fast?
The fastest way to learn data visualization is to study existing visuals, critique them, and start creating your own. Dataquest helps you do this through hands-on data visualization projects where you build visualizations from scratch, develop your own style, and create a portfolio that showcases your skills.
How long will it take to become job-ready in data visualization?
Most learners build a strong foundation in about 1 month. Gaining confidence with advanced tools and data storytelling usually takes 3–6 more months, making most learners job-ready in roughly 4–7 months. Dataquest supports this with hands-on projects and guided learning paths.
How much do data visualization courses cost?
Costs vary widely, from free introductory courses to monthly subscriptions on learning platforms to university programs costing thousands.
Dataquest offers an affordable subscription with full access to all data visualization, data science, analytics, engineering, and AI courses. It also includes free lessons and a 14-day money-back guarantee, so you can start learning risk-free.
Will you get a certificate, and does it help you stand out?
Yes. Dataquest awards a certificate after every completed course, which validates your learning and can strengthen your resume, especially for junior roles. However, data visualization is a practical skill, and hiring managers care more about what you can show. Dataquest portfolio projects (real charts, dashboards, and storytelling examples) often speak louder than a certificate in interviews.
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