After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
课程介绍
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.
先修要求
课程大纲
课程大纲
1
Inspecting DataFrames
Take your first steps toward complex data manipulation in Julia! Learn how to personalize your experience with the DataFrames package and how to create data visualizations using the Plots package.
- Diving into DataFrames50 经验值
- Symbols vs. Strings100 经验值
- Describe it to me100 经验值
- Missing anything?50 经验值
- Selecting columns50 经验值
- Column selection100 经验值
- Selecting patterns100 经验值
- Regular penguins100 经验值
- Exploring Data with Visualizations50 经验值
- Flipper distribution100 经验值
- Rating vs. cocoa percentages100 经验值
- Plotting minimum wages over time100 经验值
2
Working with columns
Columns are the basic building blocks of DataFrames. Knowing how to handle columns is essential for your data manipulation journey. You'll learn how to reorder and drop columns, as well as how to apply functions to individual rows and whole columns.
3
Aggregating DataFrames
In this chapter, you'll learn how to group data and calculate grouped summary statistics, as well as how to create pivot tables. You'll also learn how to improve the readability of your code with the Chain.jl package.
4
Improving Your Workflow
Learn how to load and join datasets, as well as how to handle missing values. Then it's time to fit everything together!
J
Data Manipulation in Julia
课程完成
