Estatístico com R

Domine as habilidades essenciais para conseguir um emprego como estatístico! Usando a estatística, você pode ajudar a resolver problemas do mundo real nos negócios, na engenharia, nas ciências e em muitos outros campos. Neste curso, você aprenderá a usar métodos estatísticos para explorar e modelar dados, tirar conclusões de uma ampla variedade de conjuntos de dados e interpretar e relatar descobertas.

R52 horas13 cursos1 projetoDeclaração de Realização

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Introduction to Statistics in R

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

4 hours

Foundations of Probability in R

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

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

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

Experimental Design in R

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

4 hours

Analyzing Survey Data in R

Learn survey design using common design structures followed by visualizing and analyzing survey results.

4 hours

Hierarchical and Mixed Effects Models in R

In this course you will learn to fit hierarchical models with random effects.

4 hours

Survival Analysis in R

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

4 hours

Fundamentals of Bayesian Data Analysis in R

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

4 hours

Factor Analysis in R

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

4 hours

Foundations of Inference in R

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

4 hours

How Environmental Factors Influence Wildlife Populations

Explore habitat data using factor and survival analysis tools.

2 hours

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Cadastre-se mais .css-ou6dz6{color:#03ef62;}13,720,000 Alunos e comece Estatístico com R Hoje!

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Treinar 2 ou mais pessoas?

Cadastre-se mais 13,720,000 Alunos e comece Estatístico com R Hoje!