Coursera – Data Analysis with R Specialization 2024-10

Data Analysis with R Specialization, In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.

What you’ll learn

• Analyze and visualize data

• Perform hypothesis tests, interpret statistical results (e.g., p-values), and report the results of your analysis to clients

• Fit, examine, and utilize regression models to examine relationships between multiple variables

• Install and use R and RStudio

Specificatoin of Data Analysis with R Specialization

• Publisher : Coursera
• Teacher :
• Language : English
• Level : Beginner
• Number of Course : 3
• Duration: 4 months at 10 hours a week

Content of Data Analysis with R Specialization

Requirements

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Introduction to Probability and Data with R

Download – 745 MB

Inferential Statistics

Download – 773 MB

Linear Regression and Modeling

Download – 266 MB

File size

1.74 GB