Data Scientist with R Traineeship is a self paced 4 week Industrial Training program with mentorship support.
Gain the career-building R skills you need to succeed as a data scientist. No prior coding experience required.
In this Traineeship, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you’ll get hands-on with some of the most popular R packages, including ggplot2 and tidyverse packages like dplyr and readr. You’ll then work with real-world datasets to learn the statistical and machine learning techniques you need to write your own functions and perform cluster analysis. Start this track, grow your R skills, and begin your journey to becoming a confident data scientist.
⇩ What we cover in 4 weeks.
Week 1 – 3
Introduction to R
Introduction to the Tidyverse
Data Manipulation with dplyr
Joining Data with dplyr
Introduction to Data Visualization with ggplot2
Intermediate Data Visualization with ggplot2
Reporting with R Markdown
Introduction to Importing Data in R
Intermediate Importing Data in R
Cleaning Data in R
Working with Dates and Times in R
Introduction to Writing Functions in R
Exploratory Data Analysis in R
Case Study: Exploratory Data Analysis in R
Introduction to Statistics in R
Introduction to Regression in R
Intermediate Regression in R
Supervised Learning in R: Classification
Supervised Learning in R: Regression
Unsupervised Learning in R
Cluster Analysis in R
Certificate of Completion
Letter of Recommendation
Complete this course while you work
Rigorous curriculum designed by industry experts
Best performers will also be offered a job within the company.