Cientista de dados associado em R

Aprenda a usar o R para a ciência de dados, desde a manipulação de dados até o aprendizado de máquina, e adquira as habilidades em R necessárias para que você tenha sucesso como cientista de dados. À medida que você avança nos cursos deste curso, você explorará como o aprendizado da ciência de dados com o R pode ajudá-lo a importar, limpar, manipular e visualizar dados. O R é uma linguagem versátil para qualquer aspirante a profissional ou pesquisador de dados e, ao aprender as habilidades essenciais, você desenvolverá uma base sólida para sua jornada na ciência de dados. Por meio de exercícios interativos, você terá contato prático com alguns dos pacotes R mais populares, incluindo pacotes tidyverse como ggplot2, dplyr e readr. Você trabalhará com conjuntos de dados do mundo real enquanto escreve suas próprias funções e aprende técnicas básicas de estatística e aprendizado de máquina. Comece este curso, desenvolva suas habilidades de programação em R e ciência de dados e inicie sua jornada para passar com confiança na certificação Associate Data Scientist in R e prosperar como cientista de dados.

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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

Intermediário R

6 hours

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

Data Manipulation with dplyr

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

4 hours

Dr. Semmelweis and the Importance of Handwashing

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

2 hours

Joining Data with dplyr

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

4 hours

Introduction to Statistics in R

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

4 hours

Introduction to Data Visualization with ggplot2

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

4 hours

Intermediate Data Visualization with ggplot2

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

4 hours

Data Manipulation with R

Data Communication Concepts

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

3 hours

Introduction to Importing Data in R

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

3 hours

Cleaning Data in R

Learn to clean data as quickly and accurately as possible to help your business move from raw data to awesome insights.

4 hours

Exploring Airbnb Market Trends

Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

2 hours

Working with Dates and Times in R

Learn the essentials of parsing, manipulating and computing with dates and times in R.

4 hours

Importing & Cleaning Data with R

Introduction to Writing Functions in R

Take your R skills up a notch by learning to write efficient, reusable functions.

4 hours

R Programming

Exploratory Data Analysis in R

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

4 hours

Introduction to Regression in R

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

4 hours

Modeling Car Insurance Claim Outcomes

Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!

2 hours

Intermediate Regression in R

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hours

Sampling in R

Master sampling to get more accurate statistics with less data.

4 hours

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

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

Experimental Design in R

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

4 hours

Statistics Fundamentals with R

Supervised Learning in R: Classification

In this course you will learn the basics of machine learning for classification.

4 hours

Supervised Learning in R: Regression

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

4 hours

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hours

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Cadastre-se mais .css-ou6dz6{color:#03ef62;}13,710,000 Alunos e comece Cientista de dados associado em R Hoje!

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Training 2 or more people?

Cadastre-se mais 13,710,000 Alunos e comece Cientista de dados associado em R Hoje!