Mathematics and Statistics
An introduction to data visualization with no coding involved.
This course focuses on the effective visualization of complex data through the use of charts, graphs, and maps. By mastering the selection of appropriate visualizations for your dataset, you will gain the ability to convey information in a clear and impactful manner. Additionally, you will develop a comprehensive understanding of commonly used plot types such as histograms, scatter plots, line plots, and bar plots, enabling you to accurately interpret and analyze data. The course also covers best practices for utilizing colors and shapes in your visualizations, as well as strategies for avoiding common mistakes. Through engaging hands-on exercises, you will have the opportunity to explore and visually analyze more than 20 diverse datasets, including global life expectancies, Los Angeles home prices, ESPN's 100 most famous athletes, and the greatest hip-hop songs of all time.
by DataCamp
An introduction to data visualization with no coding involved.
by DataCamp
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory p...
by DataCamp
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you inco...
by DataCamp
Learn to construct compelling and attractive visualizations that help communicate results efficientl...
by DataCamp
Data visualization is one of the most desired skills for data analysts. This course allows you to pr...
by DataCamp
Master the Power BI basics and learn to use the data visualization software to build impactful repor...
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Learn to use Python for financial analysis using basic skills, including lists, data visualization,...
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Data is all around us, which makes data literacy an essential life skill.
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Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.
by DataCamp
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful an...