Kickstart your career as a data scientist with this comprehensive guide. Prepare for interviews with expert tips on resume building, essential skills, and mock interviews to help you land a role in the booming field of data science.

Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.

Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

Learn the art of data storytelling through visualizations in Python, focusing on techniques to communicate insights effectively through data.

Learn how to present data with narrative and visual motion in the art of Data Storytelling. You will learn how to create, display, and distribute data in a meaningful and impactful way.

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

An introductory course to familiarize the rich library of Seaborn to visualize variety of data types.

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