Become a master of Web Analytics Using R Tool in 4 hours

Become a master of Web Analytics Using R Tool in 4 hours, available at $24.99, has an average rating of 3.4, with 68 lectures, based on 34 reviews, and has 158 subscribers.

You will learn about Understand the fundamentals of Metrics and KPIs Integrate R with Google Analytics and AdWords Measure online Business performance Understand Data availability and accuracy issues Track strategy execution against plan / competitors Generate Reports structure based on various metrics and combinations Develop constructive approach to analyze E-Business queries with Google Analytics and R Analyze real time data and perform learnt skills Forecast upcoming users on your Website Understand Customer behavior and purchase pattern Track Internal Site search behavior of user on website Optimize traffic by time of day, day of week, etc. Measure ROI (Return on Investment) Understand the power of Visualization Analyze poorly performing web pages This course is ideal for individuals who are If you are Mr. /Ms. Web Interested, this course is for you because you will learn how you can quickly get started with web analytics. It can help inform decisions you make, no matter how small or big, and can help you be significantly more effective with your web analytics–informed actions. or Anyone can go for this course. Anyone is 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 If you are Mr. /Ms. Web Interested, this course is for you because you will learn how you can quickly get started with web analytics. It can help inform decisions you make, no matter how small or big, and can help you be significantly more effective with your web analytics–informed actions. or Anyone can go for this course. Anyone is 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.

Enroll now: Become a master of Web Analytics Using R Tool in 4 hours

Summary

Title: Become a master of Web Analytics Using R Tool in 4 hours

Price: $24.99

Average Rating: 3.4

Number of Lectures: 68

Number of Published Lectures: 68

Number of Curriculum Items: 68

Number of Published Curriculum Objects: 68

Original Price: ?3,299

Quality Status: approved

Status: Live

What You Will Learn

Understand the fundamentals of Metrics and KPIs

Integrate R with Google Analytics and AdWords

Measure online Business performance

Understand Data availability and accuracy issues

Track strategy execution against plan / competitors

Generate Reports structure based on various metrics and combinations

Develop constructive approach to analyze E-Business queries with Google Analytics and R

Analyze real time data and perform learnt skills

Forecast upcoming users on your Website

Understand Customer behavior and purchase pattern

Track Internal Site search behavior of user on website

Optimize traffic by time of day, day of week, etc.

Measure ROI (Return on Investment)

Understand the power of Visualization

Analyze poorly performing web pages

Who Should Attend

If you are Mr. /Ms. Web Interested, this course is for you because you will learn how you can quickly get started with web analytics. It can help inform decisions you make, no matter how small or big, and can help you be significantly more effective with your web analytics–informed actions.

Anyone can go for this course. Anyone is 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

If you are Mr. /Ms. Web Interested, this course is for you because you will learn how you can quickly get started with web analytics. It can help inform decisions you make, no matter how small or big, and can help you be significantly more effective with your web analytics–informed actions.

Anyone can go for this course. Anyone is 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.

This course will give you a better insights of your site visitors in order to make more profits by analyzing web data. Participants, at the end of the training, will be technically competent in essential as well as advanced concepts of Web Analysis such as:

Using flow visualization to see how visitors navigate through a site

Understanding goals and conversions

Understanding KPIs and Metrics

Performing real-time analysis using R and Rstudio

Analyzing visitor and traffic source reports

Tracking AdWords and other marketing campaigns

Utilizing segmentation for deeper analysis

Understanding the raw data and how it’s collected

Selecting and comparing date ranges

Identifying slow-performing pages

Configuring and analyzing internal site search

Working with reports and Graphs

Cleaning up data with inline filters

Forecasting Bounce rate and other metrics on website

Plotting data on Maps

Course Curriculum

Chapter 1: Module 1- Introduction

Lecture 1: 1.1 What is Web Analytics

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: Module 2- Web Analytics in Detail

Lecture 1: 2.1 Why web Analytics?

Lecture 2: 2.2 What is pre-site, on-site and post site visit interactions?

Lecture 3: 2.3 Questions to consider to proceed

Lecture 4: 2.4 Some insights that we can get from web analytics

Lecture 5: 2.5 Why is it useful for Business?

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 Set up a basic Web Analytics Tracking System

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

Chapter 3: Module 3-Business Strategy and Data collection

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 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 Understanding Business Strategy

Lecture 10: 3.10 Measuring Marketing Performance

Chapter 4: Module 4-Introduction to R and Rstudio

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: Module 5-R Programming Essentials

Lecture 1: 5.1 Understanding Vectors and variables

Lecture 2: 5.2 Understanding Dataframe

Lecture 3: 5.3 Understanding Factors, Subsetting and Summarizing methods

Lecture 4: 5.4 R help Feature

Lecture 5: 5.5 Importing data into R

Chapter 6: Module 6-Integrating Google Analytics with R

Lecture 1: 6.1 Introduction to RGoogleAnalytics Package

Lecture 2: 6.2 Understanding Devtools and GitHub

Lecture 3: 6.3 Authentication to Google API

Lecture 4: 6.4 Understanding combinations of Dimensions and Metrics

Lecture 5: 6.5 Extracting Data

Lecture 6: 6.6 Google trends Data Extraction

Lecture 7: 6.7 Interpreting the results for Decision making

Chapter 7: Module 7-Google Analytics Report Generation with R

Lecture 1: 7.1. Understanding & Differentiating new users and returning users

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 Identifying slow performing pages

Lecture 8: 7.8 Understanding Internal Site search behavior

Lecture 9: 7.9. Analyzing type of Audience visiting your Website

Lecture 10: 7.10 Measuring Return on Investment (ROI)

Chapter 8: Module 8-Visualizing Data Reports on Graphs

Lecture 1: 8.1 What is Visualization

Lecture 2: 8.2 Benefits of Visualizing Data on Graphs

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

Lecture 6: 8.6 Analyzing Revenue on Histogram

Lecture 7: 8.7 Analyzing Campaign cost on Run Chart & Boxplot

Chapter 9: Module 9-Forecasting

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

Lecture 7: 9.7 Validation of Forecast

Chapter 10: Module 10-Further Resources

Lecture 1: 10.1 Further Resources

Lecture 2: 10.2 Helpful Books and Links

Instructors

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Rating Distribution

1 stars: 6 votes

2 stars: 6 votes

3 stars: 9 votes

4 stars: 2 votes

5 stars: 11 votes

Frequently Asked Questions

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