This course will teach you D3.js, a Javascript library used for data visualization.

Explore data analysis and processing techniques using Pandas, focusing on data manipulation, cleaning, and analysis for effective data insights.

This course provides an insight into data analysis and how it is used to create a narrative for storytelling in an organization, and then how the data can be used as a basis for decision making.

Learn how to analyze data with PivotTables and intermediate logical functions before moving on to tools such as what-if analysis and forecasting.

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Learn how to analyze data using R programming, including statistical modeling and visualization techniques.

Learn the skills to analyze, interpret, and present data for informed business decisions.

Organizations all over the world recognize the value of analytics. Learn the essential tools of the trade.

This course is all about learning to use python and jupyter notebooks by exploring fun, real-world data projects.

Prepare for data analytics interviews using Pandas, focusing on key concepts, techniques, and practical exercises to boost your interview skills.

Explore architectural best practices for data analytics on AWS, focusing on cloud services, data processing, and data management techniques.

Learn all of the key concepts in the world of data analytics. This course will walk you through everything you need to know to brush up on your data analytics knowledge or introduce you to every key area if you're entirely new to the subject.