Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

This course explains the continuing relevance of Data Mining today, in the context of applying machine learning techniques to big data. It covers conceptual and practical details of powerful techniques such as Association Rules learning and the industry-standard CRISP-DM methodology for data mining workflows.

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Learn to clean, analyze, and visualize data with Python and SQL.

Learn how to build scalable model pipelines for data science in production environments, focusing on best practices for deployment and management.

Explore practical data science projects using Python, focusing on end-to-end project implementation, data analysis, and visualization techniques.

Simply creating a machine learning model is not enough to gain the best insights on the data. This course will teach you how to enhance a model through hyper-parameter tuning and other methods.

Data science is the practice of transforming raw data into actionable insight. This course will teach you about the tools, technologies, and trends driving the data science revolution.