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
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Introduction to R
Intermediate R
Introduction to the Tidyverse
Data Manipulation with dplyr
Joining Data with dplyr
Introduction to Statistics in R
Introduction to Data Visualization with ggplot2
Intermediate Data Visualization with ggplot2
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
Intermediate Regression in R
Sampling in R
Hypothesis testing in R
Experimental design in R
Supervised Learning in R Classification
Supervised Learning in R Regression
Unsupervised Learning in R
Intermediate Importing Data in R
Machine Learning for Business
Introduction to SQL
Intermediate SQL
Joining Data in SQL
Introduction to Git
File(s) password: www.downloadly.ir
Size
2.49 GB
Be the first to comment