Courses are a great way to deepen your understanding of a Data Visualization. They are designed to be comprehensive and cover a wide range of topics. Here are the top 8 Data Visualization courses to consider in 2024.
Data Visualization courses are plentiful and varied. Here are the top 8 Data Visualization courses to consider in 2024.
Visualizing data in plots and figures exposes the underlying patterns in the data and provides insights. Good visualizations also help you communicate your data to others, and are useful to data analysts and other consumers of the data. In this course, you will learn how to use Matplotlib, a powerful Python data visualization library. Matplotlib provides the building blocks to create rich visualizations of many different kinds of datasets. You will learn how to create visualizations for different kinds of data and how to customize, automate, and share these visualizations.
If you’re looking to start exploring the value of visual analysis, this course was designed for you. Join instructor Franz Buscha as he introduces you to the basics of data visualization analysis including data types, graph elements, and the core concepts of univariate, bivariate, and multivariate analysis.
Explore commonly used visualization tools for distributional analysis such as histograms, density plots, strip plots, box plots, bar graphs, dot plots, pie charts, and radar plots. Along the way, Franz shows you how to visualize multiple distributions at the same time, as well as how…
Data visualization is a powerful tool for understanding and communicating data. In this Skill Path, you will learn how to leverage Matplotlib and Seaborn to make effective, appealing visualizations – from choosing the right chart type for the data, to correctly scaling axes for truth and accuracy, to building an argument through visual choices.
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!
"A picture is worth a thousand words." We are all familiar with this expression. It especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.
One of the …
Excel is an incredibly powerful and dynamic data visualization platform for those willing to think beyond rows, columns, and primitive pie charts, and I'm here to prove it.
This course gives you a deep, 100% comprehensive understanding of Excel's latest data visualization tools and techniques. I'll show you WHEN, WHY, and HOW to use each Excel chart type, introduce key data visualization best practices, and guide you through interactive, hands-on demos and Excel exercises every step of the way.
In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.
This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases…
In this project, you will develop an understanding and appreciation for data visualization. You will review the benefits of data visualization as you examine existing examples of data that is displayed in a variety of visual formats. In addition, you will gain some hands-on experience in building your own data visualization examples by aggregating data and generating simple charts in Google Sheets.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We will use three motivating examples and ggplot2, a data visualization package for the statistical programming language R. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.
We’ll also be looking at how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care. The fact that it can…
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