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Introduction to R for Data Science, Certificate

Introduction to R for Data Science, Certificate

  • Application Deadline
  • 28 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Introduction to R for Data Science Program in collaboration with MicrosoftX. Learn the R statistical programming language, the lingua franca of data science in this hands-on course. 

About

R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs.

This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.

What makes this course unique is that you will continuously practice your newly acquired skills through interactive in-browser coding challenges using the DataCamp platform. Instead of passively watching videos, you will solve real data problems while receiving instant and personalized feedback that guides you to the correct solution.

This Introduction to R for Data Science Introduction to R for Data Science course is part of the Microsoft Professional Program Certificate in Data Science from MicrosoftX MicrosoftX.

Detailed Programme Facts

  • Deadline and start date Application deadline and start date were not specified by the programme.
  • Programme intensity Part-time
    • Average part-time duration 28 days
    • Intensity 2 hrs/week
    • Duration description

      4 weeks 2 to 3 hours per week

  • Languages
    • English
  • Delivery mode
    Online
    • Time flexibility
      Self-paced

Programme Structure

Courses include:
  • Introduction to Basics
  • Vectors
  • Matrices
  • Factors
  • Data Frames
  • Lists

Lecturers

  • Filip Schouwenaars - Main Course Developer

  • Jonathan Sanito - Senior Content Developer

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Academic Requirements

Prerequisites:

None, but previous experience in basic mathematics is helpful.

Tuition Fee

  • International Applies to you

    99 USD/full
    Tuition Fee
    Based on the original amount of 99 USD for the full programme and a duration of 28 days.
  • National Applies to you

    99 USD/full
    Tuition Fee
    Based on the original amount of 99 USD for the full programme and a duration of 28 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
  • 5% discount coupon: Z7LZNQ4TN3B2JTWU valid for any free course + certificate upgrade

Funding

Check the programme website for information about funding options.

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