Loading
Register/Login Alison Logo

R for Data Analysis

certifcate icon
R for Data Analysis
  • Description
  • Outcome
  • Certification
  • The free online course R for Data Analysis will introduce you to data manipulation in R programming. You will learn about manipulating data and grouping it to prepare the data. You will also learn how to take data you prepared and present it on visualizations.

    The course begins by introducing you to data manipulation. You will learn what data manipulation is and about packages or library you need to add to your program for data manipulation. You will be introduced to the difference between feature and observation manipulation. You will learn about grouping and how that can organize your data output.

    Next, you will be introduced to the two different types data visualization. You will learn about the grammar of graphics, about different graphing techniques and charting libraries you will need for visualizations. The course also teaches about setting the colours and organizing your data in the visualizations.

    This free Alison course will be of great interest to professionals working in the areas of data science and data analysis and who want to learn more about using R for statistical computing.

    Prerequisites: The learner will need the have completed the previous course in Introduction to R for Data Science. The learner will need some knowledge of programming languages.

  • On completing this course, you will be able to:
    - List libraries/packages you will need to include in your program for data manipulation.
    - Discuss the process of features and observation manipulation.
    - Describe how the forward pipe operator helps cleans up and organize your code.
    - Explain what data visualization is and the difference between its two types.
    - List libraries you will need to include in your r program to create visualizations.
    - Describe how to display your data on a visualization.

  • All Alison courses are free to study. To successfully complete a course you must score 80% or higher in each course assessments. Upon successful completion of a course, you can choose to make your achievement formal by purchasing an official Alison Diploma, Certificate or PDF.

    Having an official Alison document is a great way to share your success. Plus it’s:

    • Ideal for including in CVs, job applications and portfolios
    • An indication of your ability to learn and achieve high results
    • An incentive to continue to empower yourself through learning
    • A tangible way of supporting the Alison mission to empower people everywhere through education.

Modules List( 3 )
  • R for Data Analysis
  • R for Data Analysis
  • R for Data Analysis - Course Resource Files
  • Module 1: Data Manipulation with R
    • Learning Outcomes
    • Data Manipulation with R
    • Lesson Summary
  • Module 2: Efficiency and Data Visualization using R
    • Learning Outcomes
    • Data Visualization using R
    • Lesson Summary
  • END OF COURSE ASSESSMENT
  • Module 3: R for Data Analysis Assessment
    • R for Data Analysis Assessment
Topics List ( 3 )
Module 1: Data Manipulation with R
This module begins by introducing you to data manipulation, you will learn about what data manipulation is and what you are trying to get out of it. You will learn about packages or library you need to add to your program for data manipulation. You will learn the difference between feature and observation manipulation. You will learn about grouping and how that can organize your data output.
Topics List ( 3 )
Module 2: Efficiency and Data Visualization using R
In this module you will be introduced to Data visualization, you will learn about what it is and the two different types of visualization. You will learn about the grammar of graphics. You will learn about different graphing and charting library’s you will need for your visualizations. You will learn about setting the colours and organizing your data in the visualizations.
Topics List ( 1 )
Module 3: R for Data Analysis Assessment
You must score 80% or more to pass this assessment.
Course Features
  • Duration

    2-3 Hours

  • Publisher

    Channel 9

  • Video

    Yes

  • Audio

    Yes

  • Assessment

    Yes

  • Certification

    Yes

  • Price

    Free

  • Reward

    50 Pts

  • Responsive

    No

Reviews and Rate
This course has no reviews yet.
Tags