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Analista de dados com R

4.4+
13 reviews

Adquira as habilidades em R necessárias para que você tenha sucesso como analista de dados! Não é necessário ter experiência prévia em codificação. Neste curso, você aprenderá a importar, limpar, manipular e visualizar dados em R - todas as habilidades essenciais para qualquer aspirante a profissional ou pesquisador de dados. Por meio de exercícios interativos, você terá contato prático com alguns dos pacotes mais populares do R, incluindo ggplot2 e pacotes tidyverse como dplyr e readr. Você também desenvolverá suas habilidades de manipulação de dados e análise exploratória de dados ao trabalhar com uma ampla variedade de conjuntos de dados do mundo real, incluindo tudo, desde dados de renda dos EUA até o consumo global de alimentos. Em seguida, você adquirirá as habilidades estatísticas necessárias para realizar testes de hipóteses. Comece este curso, desenvolva suas habilidades em R e inicie sua jornada para se tornar um analista de dados confiante.

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1
R
Introduction to R

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

4 hours

Jonathan Cornelissen Headshot

Jonathan Cornelissen

Co-founder of DataCamp

2
R
Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hours

David Robinson Headshot

David Robinson

Principal Data Scientist at Heap

3
R
Data Manipulation with dplyr

Delve further into the Tidyverse by learning to transform and manipulate data with dplyr.

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

4
R
Dr. Semmelweis and the Importance of Handwashing

Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.

2 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

5
R
Joining Data with dplyr

Learn to combine data across multiple tables to answer more complex questions with dplyr.

4 hours

DataCamp Content Creator

Course Instructor

6
R
Introduction to Statistics in R

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

4 hours

Maggie Matsui Headshot

Maggie Matsui

Curriculum Manager at DataCamp

7
R
Introduction to Data Visualization with ggplot2

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

4 hours

Rick Scavetta Headshot

Rick Scavetta

Rick Scavetta is a co-founder of Scavetta Academy.

8
R
Data Manipulation with R
9
R
Exploratory Data Analysis in R

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

4 hours

Andrew Bray Headshot

Andrew Bray

Assistant Professor of Statistics at Reed College

10
R
Sampling in R

Master sampling to get more accurate statistics with less data.

4 hours

Richie Cotton Headshot

Richie Cotton

Data Evangelist at DataCamp

11
R
Hypothesis Testing in R

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

4 hours

Richie Cotton Headshot

Richie Cotton

Data Evangelist at DataCamp

12
R
Hypothesis Testing with Men's and Women's Soccer Matches

Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!

2 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

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Certificação disponível

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*4.4
De 13 reviews
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  • Rirabé D.
    6 months

    Very good

  • Christian D.
    4 months

    I really learned nearly everything I needed to know.

  • An Q.
    4 months

    t

  • Nakena L.
    4 months

    Gives valuable quantitative data analysis skills at one’s own pace, minimal charges and exercises help one to appreciate the process

  • Benard o.
    5 months

    Great content coverage, suitable for beginners with little/no background in R. Superb exercises for practice with real world datasets.

"Very good"

Rirabé D.

"I really learned nearly everything I needed to know."

Christian D.

"t"

An Q.

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