Use Tableau to create interactive data visualizations and dashboards.

Master data visualization in Python. Learn to create informative and interactive plots using libraries like Matplotlib, Seaborn, and Plotly to visualize complex datasets and present them effectively for analysis and decision-making.

Dive into data visualization with R. Explore how to use ggplot2 and other R libraries to create powerful visualizations that help interpret data patterns, trends, and insights for better data-driven decision-making.

Data visualization is becoming more commonplace every day. In this course, you will learn why data visualization is on the rise; why you should care about data visualization; and learn strategies to be an effective data visualization designer.

Create effective and visually appealing data visualizations using ggplot2 in R, focusing on best practices for data storytelling.

Learn to create stunning data visualizations using ggplot2 in R, focusing on effective storytelling through data and visual representation techniques.

Pandas has become the gold standard for data wrangling in applied machine learning. This course will teach you the basics of data wrangling in Python using Pandas, including basic syntax, functions, and dataframe manipulation.

Understand data wrangling techniques using Python, focusing on cleaning, transforming, and preparing data for analysis.

Learn how to clean, transform, and analyze messy datasets using Python, focusing on data wrangling techniques.

This course provides a practical guide using R and the tidyverse, guiding statistical concepts and analysis techniques.

Discover how to make better business decisions by applying practical data frameworks—no coding required.

We all work with data — but often don’t consider the big picture around it. In this fast-paced, practical introduction, quickly get up to speed on multiple ideas, tools and technologies around “data” in the business world today.