Big Data Analysis and Machine Learning with R
Big Data Analysis and Machine Learning with R
This online instructor led training course provides the knowledge and skills to R, a programming language widely used among statisticians and data miners for developing statistical software and data analysis. In this course students will learn key topics including the history of R, navigating R studio, loading and maintaining packages, loading data into R, summarizing data in R, and more.
Instructor:
Doug Perez, MCSA, MCT
Course Information
Skills Learned
After completing this course, students will be able to:
- Setup the R environment
- Load and maintain packages
- Load data into R
- Connect R with SQL Server
- Summarize data in R
- Clean and prepare data
- Understand Tidyverse
- Create visuals using one and two variables
- Run R in T-SQL queries
- Understand R and PowerBI interactions
- Understand Azure R programming
Who Should Attend This Course
This data analysis training course is meant for individuals seeking to understand and learn R, as well as those who are looking to expand their data analysis knowledge.
Prerequisites
None, but we recommend that students have experience working with statistics and probability, as well as hands-on working knowledge of Excel.
Course Outline
*Course Outline is subject to change*
- What is R? What is Microsoft R Open?
- Introduction to R Studio and other R language tools
- Loading packages
- Loading data into R
- Basic expressions in R
- Basic summaries
- Data inspection
- Tidy data and the Tidyverse
- Creating visualizations with R
- Microsoft R Open visualizations
- Exploratory data analysis
- Sharing the data from R
- PowerBI and R
- SQL Server and R
- R in Microsoft Azure
CLASS START DATES
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