If you�re currently working with Excel, Matlab, Mathematica, and/or SAS for numerical analysis and want to get started using more powerful OpenSource environments including the R programming language, this course is for you.
R is a functional programming environment for business analysts and data scientists. It's a language that many non-programmers can easily work with, naturally extending a skill set that is common to high-end Excel users. It's the perfect tool for when you have a statistical, numerical, or probabilities problems based on real data and you�ve pushed Excel past its limits.
In this course we present common scenarios encountered in analysis and present practical solutions. Some attention is paid to data science theory including AI grouping theory. A discussion of using R with libraries are included which prepares you for using Spark/R.
If you�re looking for deeper coverage and more advanced concepts, consider R Programming for Data Scientists and Analysts (100680).
Join an engaging hands-on learning environment, where you�ll learn:
- R Language and Mathematics
- How to work with R Vectors
- How to read and write data from files, and how to categorize data in factors
- How to work with Dates and perform Date math
- How to work with multiple dimensions and DataFrame essentials
- Essential Data Science and how to use R with it
- Visualization in R
This course has a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.
Data Analyst and Data Scientists