Introduction to Power BI
Gain a 360° overview of how to explore and use Power BI to build impactful reports.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Gain a 360° overview of how to explore and use Power BI to build impactful reports.
An introduction to data visualization with no coding involved.
Get started with Tableau, a widely used business intelligence (BI) and analytics software to explore, visualize, and securely share data.
Learn how to create, customize, and share data visualizations using Matplotlib.
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
Power BI is a powerful data visualization tool that can be used in reports and dashboards.
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
Take your Tableau skills up a notch with advanced analytics and visualizations.
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Learn the fundamentals of data visualization using spreadsheets.
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
Learn how to design Power BI visualizations and reports with users in mind.
This course provides a comprehensive introduction to working with base graphics in R.
Continue your data visualization journey where you'll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.
Create interactive data visualizations in Python using Plotly.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Learn how to produce interactive web maps with ease using leaflet.
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
Visualize seasonality, trends and other patterns in your time series data.
Learn to create interactive graphics entirely in R with plotly.
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Learn rbokeh: a visualization library for interactive web-based plots.
Learn how to visualize time series in R, then practice with a stock-picking case study.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
Learn to create animated graphics and linked views entirely in R with plotly.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Learn to visualize multivariate datasets using lattice graphics.