This course introduces the fundamentals of data visualization tools, which are essential for data scientists and analysts to interpret large data sets. It covers topics such as multidimensional visualization (Type I and Type II), open source and commercial visualization tools. With these tools, data visualization designers can create visual representations of large data sets quickly and easily, which can be used for a variety of purposes such as dashboards, annual reports, sales and marketing materials, and investor slide decks. Click this course to learn more about data visualization tools and how to use them to make sense of large data sets.
Data Science: Visualization
4.5
Edx4,148 learners
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This course provides an introduction to data science 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 explore how mistakes, biases, systematic errors, and other unexpected problems can lead to data that should be handled with care. We will also learn how to leverage data to reveal valuable insights and advance our careers.
R Data Science Capstone Project
3.0
Edx40 learners
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This capstone course provides an opportunity to apply the data science skills and techniques learned in the IBM Data Science with R or IBM Data Analytics with Excel and R Professional Certificate Programs. Students will gain hands-on experience in data analysis, data visualization, and machine learning, as well as the ability to create and present a data science project.
Data Visualization
4.6
Udacity0 learners
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This course will help you become an expert in data visualization and storytelling. You will learn how to create effective data visualizations and dashboards to engage your audience. You will also learn how to use storytelling techniques, visualizations, and animations to provide data-driven recommendations. With this course, you will be able to create compelling presentations that will help you make data-driven decisions.
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