Data Manipulation in Julia

Manipulate Data with Julia

Julia is a new and exciting programming language designed for machine learning, scientific computing, and data mining. This course will provide you with the knowledge necessary for starting your own data manipulation journey in Julia. We'll build on your knowledge of DataFrames from the Introduction to Julia and Intermediate Julia courses. By the end of the course, you'll be equipped with core skills for inspecting, transforming, grouping, visualizing DataFrames, and many more.

Learn How to Extract Information From Data

Data is full of information and potential knowledge if you know where and how to look. Unfortunately, the way we tend to store data is not the most reader-friendly. That's where data manipulation comes in. It's the process of organizing data to make it more digestible and easier to interpret. It is also a crucial skill for any data analyst or scientist. Here, you’ll learn how to use Julia for data manipulation.

Work With Real-World Datasets

You'll analyze the US minimal wages over the last decades and help a fictional company choose the best chocolate product. You'll also look at different species of penguins to figure out what they have in common and what differentiates them. As the last challenge, you'll look at the data about delayed US flights and use Julia to figure out what airports to avoid.