Download Datacamp – Statistician with R 2023-11

Description

Statistician with R, an R training course for statisticians, is published by Datacamp Academy. You will learn the necessary skills to be employed as a statistician. You can use statistics to help solve real-world problems in business, engineering, science, and many other fields. In this track, you will learn how to use statistical methods to explore and model data, draw conclusions from different data sets, and interpret and report findings. Statistics is the study of how to collect, analyze and draw conclusions from data. This is a very valuable tool that you can use to focus on the future and deduce the answers to thousands of questions. For example, how likely is it that someone will buy your product, how many calls will your support team receive, and how many jeans will you need to produce to fit 95% of the population? In this course, you’ll use sales data to discover how to answer questions like these. You will improve your statistical skills and learn how to calculate means, use scatterplots to show relationships between numerical values, and calculate correlations.

What you will learn

• Basics of Probability in R
• An introduction to regression in R
• Regression in R
• Sampling in R
• Hypothesis testing in R
• Experimental design in R
• Survey data analysis in R
• Hierarchical and mixed effects models in R
• Survival analysis in R
• Basics of Bayesian data analysis in R
• Factor analysis in R

Specifications of the Statistician with R course

• Publisher: Datacamp
• teacher : MAGGIE MATSUI
• English language
• Education level: all levels
• Number of courses: 13
• Training duration: 52 hours to complete the course

Head of chapters of Statistician with R course

Pictures

Sample video

Installation guide

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English subtitle

Quality: 720p

download link

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(s) password: www.downloadly.ir

Size

1.13 GB