Datacamp – Data Scientist Professional with R 2023-11

Data Scientist Professional with R, Master the skills you need to pass the Data Scientist Professional with R certification and prepare yourself for success in the field of data science. As you progress through the courses in this track, you will focus on using R for data science. You will explore how learning data science with R can help you to import, clean, manipulate, and visualize data, and develop a solid foundation for your data science journey. You’ll cover a range of different skills, including data manipulation, visualization, and analysis, using popular R packages like ggplot2, dplyr, and readr. You will work with real-world datasets as you write your own functions and learn foundational statistical and machine learning techniques. You will also gain an understanding of SQL for relational databases and Git for data science projects, two essential tools for any data scientist. Through interactive exercises, you will get hands-on experience with R programming and the popular packages used in the field of data science. Completing this track will give you the knowledge and experience necessary to confidently pass the Data Scientist Professional with R certification and thrive as a data scientist.

What you’ll learn

• Introduction to the Tidyverse
• Data Manipulation with dplyr
• Joining Data with dplyr
• Introduction to Statistics in R
• Introduction to Data Visualization with ggplot2
• Data Manipulation with R
• Data Communication Concepts
• Introduction to Importing Data in R
• Cleaning Data in R
• Working with Dates and Times in R
• Introduction to Writing Functions in R
• Exploratory Data Analysis in R
• Introduction to Regression in R
• Sampling in R
• Hypothesis Testing in R
• Machine Learning for Business
• Introduction to SQL
• Joining Data in SQL
• Introduction to Git

Who this course is for

Specificatoin of Data Scientist Professional with R

• Publisher : Datacamp
• Teacher : JONATHAN CORNELISSEN
• Language : English
• Level : All Levels
• Number of Course : 28
• Approx. 107 hours to complete the course

Content of Data Scientist Professional with R

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Introduction to R

Download – 55 KB

Intermediate R

Download – 137 MB

Introduction to the Tidyverse

Download – 97 MB

Data Manipulation with dplyr

Download – 49 MB

Joining Data with dplyr

Download – 63 MB

Introduction to Statistics in R

Download – 85 MB

Introduction to Data Visualization with ggplot2

Download – 65 MB

Intermediate Data Visualization with ggplot2

Download – 230 MB

Data Communication Concepts

Download – 95 MB

Introduction to Importing Data in R

Download – 81 MB

Cleaning Data in R

Download – 72 MB

Working with Dates and Times in R

Download – 77 MB

Introduction to Writing Functions in R

Download – 64 MB

Exploratory Data Analysis in R

Download – 133 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

Supervised Learning in R Classification

Download – 199 MB

Supervised Learning in R Regression

Download – 108 MB

Unsupervised Learning in R

Download – 59 MB

Intermediate Importing Data in R

Download – 91 MB

Machine Learning for Business

Download – 167 MB

Introduction to SQL

Download – 31 MB

Intermediate SQL

Download – 78 MB

Joining Data in SQL

Download – 67 MB

Introduction to Git

Download – 124 MB

File size

2.49 GB