In this course you'll learn the basics of working with time series data.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Learn to navigate answering spatial questions in Tableau. You'll learn mapping basics and concepts, how to customize map styles and layers, and how to use map services and extensions while building almost every type of map in Tableau.

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Discover how Marketing Analysts use data to understand customers and drive business growth.

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Discover how to apply machine learning techniques in marketing analytics, focusing on customer segmentation, prediction models, and data-driven decision-making.

Learn how to use Python to analyze customer churn and build a model to predict it.

Gain expertise in D3.js for data visualization, focusing on advanced techniques and best practices for creating interactive visual representations.

Learn the statistics behind data science, from summary statistics to regression models.