Course Description

Importing or reading data is one of the most basic and crucial stages of data analysis. In this introductory course, you will learn to read data into R from different sources and in multiple formats. You will examine the challenges in reading data and use appropriate methods to address them.

What will I learn?

After completing this course, you should be able to:

  • read data from flat/delimited files
  • handle column names/headers
  • deal with text/info in data files
  • specify data types
  • read/skip specific columns


Self Paced Online Courses


Our online self paced courses are designed to allow participants to learn at their convenience. Learning outcomes are clearly defined and enhanced by the use of byte sized videos, PPTs, assignments, quizzes, suggested reading and case studies. Participants can take advantage of the discussion forum to discuss with their peers and the instructors to enhance their learning experience.


Course Features

What are the prerequisites for this course?

  • Introduction to R course
  • Good internet connection
  • Passion to learn


Course Requirements

  • Access to a computer with an internet connection

  • Ability and permissions to download files & install software

  • Basic knowledge of English (Course is delivered in English language)


Who is this course for?


We expect the students to have some prior experience with R and RStudio. If you have never used R before, our Introduction to R course will help you prepare for this course.


If I do not meet the requirements to enroll, what should I do?

We have a number of free courses that can help you prepare including:

  • Introduction to R


How will I execute the practical's?


You will use RStudio for the practical's. All the R scripts used in the examples, assignments and case study are available for download from the Learning Management System. For those of you who face issues installing RStudio on your system, we have created a RStudio cloud project where you can practice without installing any software or downloading files.


Do I need to apply? What are the admission criteria?

No. This course is open to enrolment for all and accepts students regardless of experience and background.

Course curriculum

  • 1

    Course Materials

    • Slides

    • R Script

    • Data

    • Blog Post
  • 2

    Introduction

    • Introduction to readr package and delimited files
  • 3

    Learn to read data

    • Read data from CSV file

    • Learn to specify file location
  • 4

    Handle column names

    • Learn to handle missing column names

    • Learn to specify column names
  • 5

    Skip/Maximum Lines

    • Learn to skip rows before reading data

    • Specify maximum number of rows to read
  • 6

    Handle column data types

    • Detect column data types

    • Specify column data types
  • 7

    Read select columns

    • Learn to skip columns

    • Learn to read specific columns
  • 8

    RStudio IDE

    • Learn to read data using RStudio IDE
  • 9

    Summary

    • Summary

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