A complete journey to web analytics using R tool

Course Feature
  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    2019-01-31
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Elementary Learners
Next Course
3.5
313 Ratings
This course, "A complete journey to web analytics using R tool", is the perfect choice for those looking to gain a comprehensive understanding of web analytics. Starting with the basics, the course covers all the commands used in the R Studio, from variables and vectors to importing data. It then moves on to Google analytics, covering topics such as authentication, validation and data extraction. The course also covers website visitor analysis, tracking of marketing and measuring return on investment. Finally, the course covers visualization of information and map plotting. With this course, users will gain a comprehensive understanding of web analytics and the R tool.
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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 18th, 2023]

This course, "A complete journey to web analytics using R tool", provides a comprehensive overview of web analytics and the R Studio tool. It begins with an introduction to web analytics and the R Studio, and covers basic commands used in the R Studio, such as variables and vectors. It then moves on to cover topics such as authentication to the Google API, validation, and extracting data. The course also covers website visitor analysis, tracking of marketing, and measuring return on investment. Finally, the course covers visualization of information and map plotting.

Course Syllabus

Introduction to the course

Why Web Analytics

The Web Analytics Framework

Introduction to R Studio

R Studio Basics

Introduction to Google Analytics in R

Analyzing website behavior

Visualization in R

Introduction to Time Series

Further Resources and links

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Pros & Cons
  • Clear and Simple Explanation
  • Boring
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