Learn to visualize your data using Python in this data science course

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

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

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

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.

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.

Learn data wrangling techniques using MongoDB for effective data manipulation and preparation.

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.