Download Datacamp – Data Scientist Professional with R 2023-11

Description

Data Scientist Professional with R, Data Scientist Professional with R training course is published by Datacamp Academy. Learn the skills you need to complete the Data Specialist certification course with R and prepare yourself for data science success. As you progress through the courses in this track, you’ll focus on using R for data science. You’ll explore how learning data science with R can help you import, clean, manipulate, and visualize data, building a solid foundation for your data science journey.
Using famous R packages such as ggplot2, dplyr and Readr, you will learn a wide range of different skills including data manipulation, visualization and analysis. You’ll work with real-world datasets, write your own functions, and learn fundamental statistical and machine learning techniques. You’ll also gain useful insights into SQL for relational databases and Git for data science projects, two essential tools for any data scientist. Through interactive exercises, you will gain hands-on experience with R programming and popular packages used in data science. Completing this track will give you the knowledge and experience to pass the Professional Data Scientist certification with R and grow as a data scientist.

What you will learn

• Principles of R
• Introducing Tidyverse
• Manipulating data with dplyr
• Join data with dplyr
• Statistics in R
• Data visualization with ggplot2
• Data manipulation with R
• Data communication concepts
• Data cleaning in R
• Working with date and time in R
• Entering and deleting data with R
• Writing functions in R
• R programming
• Regression in R
  Sampling in R
• Hypothesis testing in R
• Experimental design in R
• Statistical principles with R
• Supervised learning in R
• Machine learning for business
• Introduction to SQL
• Introduction to Git

Details of the Data Scientist Professional with R course

• Publisher: Datacamp
• teacher : JONATHAN CORNELISSEN
• English language
• Education level: all levels
• Number of courses: 28
• Training duration: 107 hours to complete the course

Chapters of the Data Scientist Professional with R course

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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

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Size

2.49 GB