This course covers exploratory data analysis (EDA) approaches using Python. The topics include visualization techniques, clustering methods, distribution analysis, sampling, and summarization.

Understanding how to deal with data is becoming a required skill in the information age. This course will teach you how to do exploratory data analysis and leverage relevant AWS services.

In this course, master Exploratory Data Analysis (EDA) using Python. Dive deep into complex data sets, extract insights, and elevate your data science proficiency.

Learn how to perform exploratory data analysis with R to complete day-to-day developer tasks.

This course will teach you how to effectively analyze and synthesize evidence utilizing a design thinking approach.

In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud.

In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud.

Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.

Learn how to use data visualizations like scatterplots, barcharts, histograms, and boxplots for data exploration.

In this course, you'll learn about the history of Lean Processes, beginning with the miracle of the Toyota Production System and how it came about. You'll learn how to apply the lessons of Lean to software development, and to eliminate waste.

Discover how to use NASA APIs in JavaScript to explore space data and create interactive applications showcasing astronomical information.

Learn to fetch and display space data using NASA APIs in JavaScript, focusing on engaging visualizations and data storytelling.