Data Scientist with R Internship/Training 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 Internship/Training, 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.