Learn good design principles for telling a visual story with data using Matplotlib.

Data Visualization with Tableau with Dinushki De Livera at the 2019 Women in Analytics Conference.

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

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

Proper tools must be used to handle the vast amounts of data being processed in today's world. In this course, you will learn how to set up a Redshift cluster for your own organization.

Master data wrangling with Python. Learn essential techniques for cleaning, transforming, and manipulating raw data using libraries like Pandas, NumPy, and more, to prepare your data for analysis and machine learning in real-world scenarios.

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.

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.

Learn how to analyze a SQL table and report insights to management.

Data-Driven Product Improvements with Amanda Gadrow at the 2019 Women in Analytics Conference.