Datacamp – Statistician with R 2023-11

Datacamp – Statistician with R 2023-11 Downloadly IRSpace

Datacamp – Statistician with R 2023-11
Datacamp – Statistician with R 2023-11

Statistician with R, Master the essential skills to land a job as a statistician! Using statistics, you can help solve real-world problems in business, engineering, the sciences, and many other fields. In this track, you’ll learn how to use statistical methods to explore and model data, draw conclusions from a wide variety of datasets, and interpret and report findings. Statistics is the study of how to collect, analyze, and draw conclusions from data. It’s a hugely valuable tool that you can use to bring the future into focus and infer the answer to tons of questions. For example, what is the likelihood of someone purchasing your product, how many calls will your support team receive, and how many jeans sizes should you manufacture to fit 95% of the population? In this course, you’ll use sales data to discover how to answer questions like these as you grow your statistical skills and learn how to calculate averages, use scatterplots to show the relationship between numeric values, and calculate correlation

What you’ll learn

  • Introduction to Statistics in R
  • Foundations of Probability in R
  • Introduction to Regression in R
  • Sampling in R
  • Hypothesis Testing in R
  • Experimental Design in R
  • Analyzing Survey Data in R
  • Hierarchical and Mixed Effects Models in R
  • Survival Analysis in R
  • Fundamentals of Bayesian Data Analysis in R
  • Factor Analysis in R

Specificatoin of Statistician with R

  • Publisher : Datacamp
  • Teacher : MAGGIE MATSUI
  • Language : English
  • Level : All Levels
  • Number of Course : 13
  • Duration : 52 hours to complete the course

Content of Statistician with R

Statistician with R

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Statistician with R

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Subtitle : English

Quality: 720p

Download Links

Introduction to Statistics in R

Download – 85 MB

Foundations of Probability in R

Download – 107 MB

Introduction to Regression in R

Download – 76 MB

Intermediate Regression in R

Download – 65 MB

Sampling in R

Download – 80 MB

Hypothesis Testing in R

Download – 89 MB

Experimental Design in R

Download – 58 MB

Analyzing Survey Data in R

Download – 212 MB

Hierarchical and Mixed Effects Models in R

Download – 77 MB

Survival Analysis in R

Download – 58 MB

Fundamentals of Bayesian Data Analysis in R

Download – 120 MB

Factor Analysis in R

Download – 62 MB

Foundations of Inference in R

Download – 62 MB

File size

1.13 GB