Descriptions
Data Scientist Professional with R: Learn the skills you need to pass the Data Scientist Professional with R certification and prepare for success in the data science field. As you complete the courses in this track, you’ll focus on using R for data science. You’ll learn how learning data science with R can help you import, clean, manipulate, and visualize data and develop a solid foundation for your data science journey. You’ll learn a range of different skills, including data manipulation, visualization, and analysis, using popular R packages like ggplot2, dplyr, and readr. You’ll work with real-world datasets, write your own functions, and learn basic statistical and machine learning techniques. You’ll 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’ll get hands-on experience with R programming and the common packages used in the data science field. By completing this course, you will gain the knowledge and experience you need to confidently pass the Data Scientist Professional with R certification and succeed as a data scientist.
What you will learn
- introduction to Tidyverse
- Data Manipulation with dplyr
- accession Data with dplyr
- introduction to statistics in R
- introduction for data visualization with ggplot2
- Data Manipulation with R
- Data Communication concepts
- introduction for importing data into R
- cleaning Data in R
- Work with date and time in R
- introduction for writing functions in R
- Exploratory Data analysis in R
- introduction for regression in R
- sampling in R
- hypothesis Testing in R
- machine Learning for companies
- introduction to SQL
- accession Data in SQL
- introduction to Git
Who is this course suitable for?
Specification of Data Scientist Professional with R
- Publisher : Data Camp
- Teacher: JONATHAN CORNELISSEN
- Language: English
- Level: All levels
- Number of courses: 28
- Approximately 107 hours to complete the course
Contents of Data Scientist Professional with R
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Subtitles: English
Quality: 720p
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Introduction to R
Intermediate R
Introduction to the Tidyverse
Data manipulation with dplyr
Connect data with dplyr
Introduction to Statistics in R
Introduction to data visualization with ggplot2
Advanced data visualization with ggplot2
Data communication concepts
Introduction to importing data into R
Cleaning data in R
Working with dates and times in R
Introduction to write functions in R
Exploratory data analysis in R
Introduction to Regression in R
Mean 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
Advanced data import in R
Machine Learning for Business
Introduction to SQL
Advanced SQL
Connecting data in SQL
Introduction to Git
Password file(s): free download software
File size
2.49GB