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Introduction to Data Analysis using R

with Grant Hutchison

Audience:
Data Analysts, Programmers

Time to complete:
5 hours

Available in:
English

Learn how to tackle data analysis problems using the powerful open source language R. The course will take you from learning the basics of R to using it to explore many different types of data. You will learn how to prepare data for analysis, compute various statistical measures, create meaningful data visualizations, create reusable R functions, create R models to predict expected future outcomes, and more!

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Course Syllabus

  • Introduction to R
  • Getting Started - R Console
  • Data types and Structures
  • Exploring and Visualizing Data
  • Programming Structures, Functions, and Data Relationships

General Information

  • This course is free.
  • It is self-paced.
  • It can be taken at any time.
  • It can be taken as many times as you wish.
  • Labs can be performed on the Cloud, or using a 64-bit system. If using a 64-bit system, you can install the required software (Linux-only), or use the supplied VMWare image. More details are provided in the course.
  • Students passing the course (by passing the final exam) will have immediate access to printing their online certificate of achievement. Your name in the certificate will appear exactly as entered in your profile in BigDataUniversity.com.
  • If you did not pass the course, you can take it again at any time.

Pre-requisites

  • None

Recommended skills prior to taking this course

  • Basic knowledge of statistics and any other programming language such as Python or Java is beneficial but not required.

Grading Scheme

  • The minimum passing mark for the course is 60%, where the final test is worth 100% of the course mark.
  • You have 3 attempts to take the test.
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