Pular para o conteúdo principal

Início Probability & Statistics

Curso

Data Manipulation in Julia

InicianteNível de habilidade

Actualizado 05/2024

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

Iniciar Curso Gratuitamente

Incluído comPremium or Teams

JuliaData Manipulation4 horas15 vídeos55 Exercícios4,650 XPCertificado de conclusão

Crie sua conta gratuita

ou

Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados serão armazenados nos EUA.

Treinar 2 ou mais pessoas?

Tentar DataCamp for Business

Amado por alunos de milhares de empresas

Descrição do curso

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.

Pré-requisitos

Introduction to Julia Intermediate Julia

1

Inspecting DataFrames

Iniciar Capítulo

Diving into DataFrames

Symbols vs. Strings

Describe it to me

Missing anything?

Selecting columns

Column selection

Selecting patterns

Regular penguins

Exploring Data with Visualizations

Flipper distribution

Rating vs. cocoa percentages

Plotting minimum wages over time

2

Working with columns

Iniciar Capítulo

Dropping and moving columns

Penguin drop

Reordering of wages

Manipulating columns

Using select()

Penguin transformations

Combining chocolates

What shall you use?

Creating new columns

Copy the capitals

Column or row?

Chocolate percentages

3

Aggregating DataFrames

Iniciar Capítulo

Exploring grouped data

Wages multiple ways

Penguin group counts

Unique chocolate beans

Duplicate rows or not?

Grouped summary statistics

Penguin characteristics

Chocolate location vs. rating

Pivoting data

Reshaping wages

Chocolate location pivot

Improving readability with Chain.jl

Chaining chocolates

Penguin plotting in chain

Minimum wage by region

4

Improving Your Workflow

Iniciar Capítulo

Loading and writing CSV files

Decimals and delimiters

Loading the 80s

Write it down

Joining data

State joins capitals

Penguin joins

Handling missing values

Dropping missing values

Replacing rating with median

Replacing rating with group median

Efficient workflow

First steps with flights

Missing delays?

Delays on US airports

Data Manipulation in Julia

Curso
Completo

Obtenha um certificado de conclusão

Adicione esta credencial ao seu perfil, currículo ou currículo do LinkedIn
Compartilhe nas redes sociais e em sua avaliação de desempenho

Incluído comPremium or Teams

Inscreva-se Agora

Junte-se a mais 17 milhões de alunos e comece Data Manipulation in Julia hoje!

Crie sua conta gratuita

ou

Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados serão armazenados nos EUA.