Introduction to R for Data Scientists

  • Tuition USD $1,995
  • Reviews star_rate star_rate star_rate star_rate star_half 1131 Ratings
  • Course Code TTCR01-DS3
  • Duration 3 days
  • Available Formats Classroom

Skills Gained

  • Introduction to the R Environment
  • Going from Excel to R
  • Simple math with R
  • How and when to use and apply vectors
  • Manipulating text
  • Formatting dates; manipulating time and operations
  • How to work with multiple dimensions
  • Working with R with Madlib / AI libraries
  • Techniques in Data Visualization

Who Can Benefit

While there are no specific technical prerequisites, students should have had prior exposure to working with statistics and probability, as well as good hands-on working knowledge of Excel. We will collaborate with you to design the best solution to ensure your needs are met, whether we customize the material, or devise a different educational path to help your team best prepare for this training.

Course Details

Session: From Excel to R

  • Common problems with Excel
  • The R Environment
  • Hello, R

Session: R Basics

  • Simple Math with R
  • Working with Vectors
  • Functions
  • Comments and Code Structure
  • Using Packages

Session: Vectors

  • Vector Properties
  • Creating, Combining, and Iterating
  • Passing and Returning Vectors in Functions
  • Logical Vectors

Session: Reading and Writing

  • Text Manipulation
  • Factors

Session: Dates

  • Working with Dates
  • Date Formats and formatting
  • Time Manipulation and Operations

Session: Multiple Dimensions

  • Adding a second dimension
  • Indices and named rows and columns in a Matrix
  • Matrix calculation
  • n-Dimensional Arrays
  • Data Frames
  • Lists

Session: R in Data Science

  • AI Grouping Theory
  • K-means
  • Linear Regression
  • Logistic Regression
  • Elastic Net

Session: R with MadLib

  • Importing and Exporting static Data (CSV, Excel)
  • Using Libraries with CRAN
  • K-means with Madlib
  • Regression with Madlib
  • Other libraries

Session: Data Visualization

  • Powerful Data through Visualization: Communicating the Message
  • Techniques in Data Visualization
  • Data Visualization Tools
  • Examples

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

I was really happy with the overall experience of attending a remote course through ExitCeritfied.

Lab infraestructure is very suitable and works pretty good help to understand better the concepts exposed during the training.

Fantastic and great training. Tons of hands-on labs to really make you understand the material being thought.

The course material and instructor were very good. easy to follow, lab was setup nicely and was able to complete most of the lab material.
The Koretex App is absolute garbage and very cumbersome to use on a tablet/ipad. A PDF file would be 100 times better than that atrocious app.
As a recommendation this class should be 5 days instead of 4 as some chapters had to be rushed.

Learnt new things on AWS DEVOPS side from Tutor Ryan. Happy that he was able to assist on our questions.

0 options available

There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

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