Course Overview
If you’ve been looking for an intense, methodological intro training class on R for data science, you’ve come to the right place. Our introduction to R for data science training class provides an in-depth look into the world of applied data science. Weaving complex methods with practical application, our training ensures the highest level of comprehension regarding basics of handling data from importing until decision making. Specifically, you’ll learn how to use RStudio for data science related projects along with handling data in R. You’ll also learn about tools and techniques for creating analytic graphics for data analysis.
Furthermore, you will learn how to make a decision using various applied machine learning techniques. Never again will you have to worry about the implementation of data science approach in your organization, because this training will provide you with all of the basic knowledge you need to know to dive into data science field.
Objectives
At the end of this program participants will be able to achieve the following objectives:
- How to use RStudio for data science related projects.
- How to import, clean and manipulate data for analysis.
- How to create analytic graphics for in-depth analysis of the data.
- How to make a decision using applied and practical machine learning techniques.
- Industry used tools and best practices for data science
Technology Learnt
Technologies that you will learn and develops throughout the course:
- R statistical programming language.
- RStudio Integrated Development Environment (IDE).
- Data science basics.
- Using R for data science.
- Concepts of machine learning.
- Applied and practical machine learning
Introduction to R – 2 Days Schedule
Day 1 |
|
09.00am – 10.00am |
Introduction to RStudio
|
10.00am – 10.30am |
Breakfast |
10.30am – 12.45pm |
Data Importing
|
12.45pm – 02.15pm |
Lunch |
02.15pm – 05.00pm |
Data Manipulation
|
Day 2 |
|
09.00am – 10.00am |
Graphing
|
10.00am – 10.30am |
Breakfast |
10.30am – 12.45pm |
Decision Making and Machine Learning Using R
|
12.45pm – 02.15pm |
Lunch |
02.15pm – 05.00pm |
|