Data visualization courses
About Data visualization
Data visualization is the process of communicating complex information with simple graphics and charts. Data Visualization has the power to tell data-driven stories while allowing people to see patterns and relationships found in data.
Related topics
Data visualization courses
Filters24 results
Level
Price
View plansType
Average time to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary.
Most relevant
24 results
Most relevant
- Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.
- Includes 22 Courses
- With Professional Certification
- Beginner Friendly.70 hours
- Take your data storytelling skills to the next level by learning how to use Microsoft Excel for data analysis and visualization.
- Beginner Friendly.2 hours
- BI Data Analysts use Python and SQL to query, analyze, and visualize data — and Tableau and Excel to communicate findings.
- Includes 18 Courses
- With Certificate
- Beginner Friendly.50 hours
- Learn how to code and clean and manipulate data for analysis and visualization with the R programming language.
- Beginner Friendly.14 hours
- Build stunning, interactive reports with Microsoft Power BI's business intelligence (BI) dashboards.
- With Certificate
- Beginner Friendly.< 1 hour
- Learn to clean, analyze, and visualize data with Python and SQL.
- Includes 15 Courses
- With Certificate
- Beginner Friendly.55 hours
- Learn how to build spreadsheets and analyze and visualize data with Microsoft Excel.
- With Certificate
- Beginner Friendly.1 hour
- Level up your data storytelling skills by learning how to create dashboards and visualizations in Tableau.
- Beginner Friendly.1 hour
- Use R to process, analyze, and visualize data.
- Includes 7 Courses
- With Certificate
- Beginner Friendly.22 hours
- Learn how to use Matplotlib to clarify your data with meaningful charts and other data visualizations.
- Beginner Friendly.3 hours
- Communicate your data findings more effectively—build visually appealing, interactive business intelligence (BI) dashboards with Tableau.
- With Certificate
- Beginner Friendly.< 1 hour
- Learn to analyze and visualize data using Python and statistics.
- Includes 8 Courses
- With Certificate
- Intermediate.13 hours
- Turn pandas DataFrames into publication-ready visualizations using Seaborn.
- Beginner Friendly.2 hours
- Prepare for data analyst interviews from job postings to technical interviews.
- Includes 7 Courses
- With Certificate
- Intermediate.3 hours
- Learn about different kinds of data-driven geographic maps and gain a conceptual understanding of how they are created.
- Beginner Friendly.1 hour
- Learn how to setup Jupyter Notebooks and PostGRESQL and run data science projects on your own computer locally!
- Beginner Friendly.1 hour
- Learn good design principles for telling a visual story with data using Matplotlib.
- Beginner Friendly.2 hours
- Learn how to create visualizations using the popular R package ggplot2
- With Certificate
- Intermediate.4 hours
- Prepare for the data science interview process, from navigating job postings to passing the technical interview.
- Includes 8 Courses
- With Certificate
- Intermediate.3 hours
- Learn to make effective data visualizations in Python with Matplotlib and Seaborn.
- Includes 6 Courses
- With Certificate
- Beginner Friendly.8 hours
- Build a thoughtful and effective map style in Mapbox Studio, and publish a customized Mapbox map using no-code, low-code, and robust code solutions.
- With Certificate
- Beginner Friendly.2 hours
- Learn how to create bar charts with D3, the popular interactive data visualization library.
- With Certificate
- Intermediate.1 hour
- Learn how and when to tackle missing data with deletion, single imputation, linear interpolation, and multiple imputation techniques.
- With Certificate
- Beginner Friendly.1 hour
- Create visually compelling, data-driven arguments through Data Storytelling, using sound visual design and data decision-making.
- With Certificate
- Beginner Friendly.5 hours
Related resources
Related projects
- Practice projectData science • Data visualization
Data Storytelling: Green Lake Auto
In this project, identify key insights and use the hook-insight-action framework to curate data visualizations and context into a meaningful data story.More guidance, - Practice projectData science • Data visualization
Applying Visual Design Principles to Data Visualization
In this project, you’ll take a basic data visualization to the next level using the principles of visual design theory. Apply balance, contrast, color, and other principles to create a polished visualization about electric vehicle charging infrastructure, global trade, or a topic and dataset of your own choice.More guidance, - Practice projectData science • Data visualization
Analyzing Misleading Visualizations: Green Lake Auto
Analyze misleading data visualizations and use best practices to create effective visualizations.More guidance, - Portfolio projectData science • Data visualization
Introduction to Data Visualization
In this Kanban project, you’ll take the first step in our Data Storytelling journey: creating data visualizations to be the base of your data story. You can use the dataset we provide, or your own. You can use multiple data sources or just one.Independent,Portfolio Ready
Related articles
- Article
How To Install Jupyter Notebook on Mac and Windows
Learn how to install Jupyter Notebook using conda with Anaconda or Miniconda. Step-by-step installation guide for Windows and Mac users. - Article
Log Transformation in Linear Regression: When and How to Use It
Learn when and how to apply log transformations in linear regression to fix skewed data and improve model accuracy. Python examples included. - Article
Creating a Word Cloud With Python
Learn how to use various Python libraries to create, mask, and display a word cloud with contents from a text file. - Article
Filter Methods
Learn about the different filter methods for evaluating and selecting features.