A complete journey to web analytics using R tool

A complete journey to web analytics using R tool, available at $29.99, has an average rating of 3.3, with 63 lectures, based on 22 reviews, and has 313 subscribers.

You will learn about understand performance indicators for business functions Understand what kind of reports and analysis can be done and how can you interpret the business outcomes This course is ideal for individuals who are everyone including students who want to choose Analytics as their career option, employees of organization, CEOs, Managers, SEOs, Business Analyst, Digital Analyst, Web Analyst, everybody who wants to optimize website performance and gain profits from it. It is particularly useful for everyone including students who want to choose Analytics as their career option, employees of organization, CEOs, Managers, SEOs, Business Analyst, Digital Analyst, Web Analyst, everybody who wants to optimize website performance and gain profits from it.

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Summary

Title: A complete journey to web analytics using R tool

Price: $29.99

Average Rating: 3.3

Number of Lectures: 63

Number of Published Lectures: 61

Number of Curriculum Items: 63

Number of Published Curriculum Objects: 61

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

understand performance indicators for business functions

Understand what kind of reports and analysis can be done and how can you interpret the business outcomes

Who Should Attend

everyone including students who want to choose Analytics as their career option, employees of organization, CEOs, Managers, SEOs, Business Analyst, Digital Analyst, Web Analyst, everybody who wants to optimize website performance and gain profits from it.

Target Audiences

everyone including students who want to choose Analytics as their career option, employees of organization, CEOs, Managers, SEOs, Business Analyst, Digital Analyst, Web Analyst, everybody who wants to optimize website performance and gain profits from it.

The course “A complete journey to web analytics using R tool” starts with a?basic understanding of web analytics moving to the tool used for the same which is The R Studio.It covers all the basic?commands used in the R studio starting from variables and vectors and ranging to importing data in R. Further the course details about Google analytics covering topics like?authentication to google API,validation and extracting data. Moving ahead it covers the most important concepts of website data analysis?which involves website visitor analysis, Tracking of marketing and measuring return on investment. The closing topics include visualization of information and map plotting.

Course Curriculum

Chapter 1: Introduction to the course

Lecture 1: 1.1 Web analytics Introduction

Lecture 2: 1.2 What you should know

Lecture 3: 1.3 Who should go for this course

Lecture 4: 1.4 Intro to Tool that is to be used

Lecture 5: 1.5 How this course will help

Chapter 2: Why Web Analytics

Lecture 1: 2.1 Why Web Analytics

Lecture 2: 2.2 What is pre, post and onsite visitors

Lecture 3: 2.3 Questions to consider

Lecture 4: 2.4 Some insights that we can get from Web Analytics

Lecture 5: 2.5 Why is it useful for businesses

Lecture 6: 2.6 Who uses Web Analytics

Lecture 7: 2.7 Metrics for Web Analytics Report

Lecture 8: 2.8 Why invest in Web Analytics

Lecture 9: 2.9 Setup a web analytics tracking system

Lecture 10: 2.10 Discussion on E-commerce and Non-Ecommerce data

Chapter 3: The Web Analytics Framework

Lecture 1: 3.1 How data collection works

Lecture 2: 3.2 How you can start with your account

Lecture 3: 3.3 Understanding data reporting

Lecture 4: 3.4 Understanding Web analytics framework and KPIs

Lecture 5: 3.5 Choosing a right web analytics tool

Lecture 6: 3.6 Web Analytics and Business Organizations

Lecture 7: 3.7 Stakeholders and Expectations

Lecture 8: 3.8 Reporting to stakeholders need

Lecture 9: 3.9 Understnding Business Strategy

Chapter 4: Introduction to R Studio

Lecture 1: 4.1 Understanding origin of R and Rstudio

Lecture 2: 4.2 Advantages of using R in Web Analytics

Lecture 3: 4.3 Introduction to R Interface

Lecture 4: 4.4 Introduction to Rstudio Interface

Lecture 5: 4.5 Installation Process of R and Rstudio tool

Chapter 5: R Studio Basics

Lecture 1: 5.1 Understanding Vectors and variables

Lecture 2: 5.2 Understanding Dataframe

Lecture 3: 5.3 Factors,Subsetting and Summarizing methods

Lecture 4: 5.4 R help Feature

Lecture 5: 5.5 Importing data in r studio

Chapter 6: Introduction to Google Analytics in R

Lecture 1: 6.1 Intro to R google analytics

Lecture 2: 6.2 Understanding Dev tools and Github

Lecture 3: 6.3 Authentication to Google API

Lecture 4: 6.5 Extracting Data

Lecture 5: 6.6 Google trends Data Extraction

Lecture 6: 6.7 Interpreting the results for Decision making

Chapter 7: Analyzing website behavior

Lecture 1: 7.1. Understanding & Differentiating new users and

Lecture 2: 7.2. Hierarchy of visits, visitors and page views

Lecture 3: 7.3. Sorting data by Browser capabilities

Lecture 4: 7.4. Analyzing data from mobile browsers

Lecture 5: 7.5. Optimizing Traffic by time of day

Lecture 6: 7.6. Tracking your Marketing

Lecture 7: 7.7. Understanding Internal Site search behavior

Lecture 8: 7.8. Measuring Return on Investment (ROI)

Chapter 8: Visualization in R

Lecture 1: 8.1 What is Visualization

Lecture 2: 8.2 Benifits of visualizing data in R

Lecture 3: 8.3 Useful Graphs to Visualize Information

Lecture 4: 8.4 Understanding Map plotting in R

Lecture 5: 8.5 Plotting Geographic Information of Visitors on map

Chapter 9: Introduction to Time Series

Lecture 1: 9.1 What is Time Series

Lecture 2: 9.2 How do we use Time Series Data

Lecture 3: 9.3 Components of Time Series

Lecture 4: 9.4 Flavors of Time Series

Lecture 5: 9.5 Steps of Time Series Forecasting in R

Lecture 6: 9.6 Forecasting using Exponential Smoothing

Chapter 10: Further Resources and links

Lecture 1: 10.1 Further Resources

Lecture 2: 10.2 Helpful Books and Links

Instructors

Elementary Learners
Make learning online

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1 stars: 0 votes

2 stars: 6 votes

3 stars: 4 votes

4 stars: 2 votes

5 stars: 10 votes

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