Overview
The R Essentials for Data Scientists training program enables participants to work with applications in OpenSource environments including the R language. R is a functional programming environment used commonly by data scientists and data analysts though it can be easily used by non-programmers as well. Either ways, working with R language is a much sought after skill for data analysts and data scientists. The course discusses using R with various libraries to effectively apply Spark/R and Sparkly/R. Participants will learn to come up with effective solutions to common real-life scenarios encountered when performing different analysis.
What You'll Learn
- R language and mathematics
- Working with R vectors
- Reading and writing data from files, and categorizing data in factors
- Working with dates and perform date math
- Working with multiple dimensions and DataFrame essentials
- Fundamentals of data science and how to use R with it
- Visualization in R
- Application of R in Spark
Curriculum
- Common problems with Excel
- The R environment
- Hello, R
- CRAN
- Simple Math with R
- Working with Vectors
- Functions
- Comments and code structure
- Using packages
- Vector properties
- Creating, combining and iterating
- Passing and returning vectors in functions
- Logical vectors
- Working with dates
- Date formats and formatting
- Time manipulation and operations
- Adding a second dimension
- Indices and named rows and columns n a Matrix
- Matrix calculations
- n-Dimensional arrays
- Data frames
- Lists
- AI grouping theory
- K-means
- Linear regression
- Logistic regression
- Elastic net
- Powerful data through visualization: Communicating the message
- R in Spark
- Demos
Who should attend
The course is highly recommended for –
- Data scientists
- Data analysts
- Machine learning professionals
Prerequisites
Participants need to have familiarity with data analytics.
