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

Get More Out your Website By Learning How To Analyse the Website Data Using R Analytic Tool.
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  • Lectures 68
  • Length 4.5 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 12/2015 English

Course Description

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

What are the requirements?

  • You must have basic idea about Google Analytics and Google AdWords, you should know what they do and what are their objectives?
  • You should have some basic idea about R tool and its objective
  • If you have knowledge about graphs and charts previously, it would be an added advantage for you.
  • You should have a willingness to explore.

What am I going to get from this course?

  • 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

What is the target audience?

  • 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.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Module 1- Introduction
1.1 What is Web Analytics
Preview
04:28
1.2 What you should know
Preview
01:19
1.3 Who should go for this course
Preview
01:13
1.4 Intro to Tool that is to be used
Preview
01:37
1.5 How this course will help
Preview
04:02
Section 2: Module 2- Web Analytics in Detail
2.1 Why web Analytics?
04:16
2.2 What is pre-site, on-site and post site visit interactions?
03:42
2.3 Questions to consider to proceed
05:02
2.4 Some insights that we can get from web analytics
03:15
2.5 Why is it useful for Business?
03:42
2.6 Who uses web Analytics?
03:07
2.7 Metrics for web Analytics report
03:41
2.8 Why invest in web Analytics?
01:47
2.9 Set up a basic Web Analytics Tracking System
01:39
2.10 Discussion on E-commerce and Non E-commerce website data
03:46
Section 3: Module 3-Business Strategy and Data collection
3.1 How data collection works?
04:34
3.2 How you can start with your account?
04:16
3.3 Understanding data Reporting
02:43
3.4 Understanding web Analytics Framework and KPIs
14:21
3.5 Choosing a Right Analytics Tool
05:54
3.6 Web Analytics and Business organizations
01:05
3.7 Stakeholders and Expectations
02:33
3.8 Reporting to Stakeholders need
05:17
3.9 Understanding Business Strategy
04:41
3.10 Measuring Marketing Performance
05:31
Section 4: Module 4-Introduction to R and Rstudio
4.1 Understanding origin of R and Rstudio
03:49
4.2 Advantages of using R in Web Analytics
06:10
4.3 Introduction to R Interface
04:47
4.4 Introduction to Rstudio Interface
03:07
4.5 Installation Process of R and Rstudio tool
02:21
Section 5: Module 5-R Programming Essentials
5.1 Understanding Vectors and variables
09:05
5.2 Understanding Dataframe
03:16
5.3 Understanding Factors, Subsetting and Summarizing methods
06:19
5.4 R help Feature
03:50
5.5 Importing data into R
02:09
Section 6: Module 6-Integrating Google Analytics with R
6.1 Introduction to RGoogleAnalytics Package
02:38
6.2 Understanding Devtools and GitHub
01:39
6.3 Authentication to Google API
05:50
6.4 Understanding combinations of Dimensions and Metrics
02:09
6.5 Extracting Data
02:14
6.6 Google trends Data Extraction
01:49
6.7 Interpreting the results for Decision making
02:30
Section 7: Module 7-Google Analytics Report Generation with R
7.1. Understanding & Differentiating new users and returning users
04:37
7.2. Hierarchy of visits, visitors and page views
03:33
7.3. Sorting data by Browser capabilities
05:16
7.4. Analyzing data from mobile browsers
04:58
7.5 Optimizing Traffic by time of day
04:01
7.6 Tracking your Marketing
07:20
7.7 Identifying slow performing pages
02:57
7.8 Understanding Internal Site search behavior
04:13
7.9. Analyzing type of Audience visiting your Website
09:03
7.10 Measuring Return on Investment (ROI)
01:53
Section 8: Module 8-Visualizing Data Reports on Graphs
8.1 What is Visualization
01:34
8.2 Benefits of Visualizing Data on Graphs
02:18
8.3 Useful Graphs to Visualize Information
02:21
8.4 Understanding Map plotting in R
01:09
8.5 Plotting Geographic Information of Visitors on map
06:43
8.6 Analyzing Revenue on Histogram
02:57
8.7 Analyzing Campaign cost on Run Chart & Boxplot
05:01
Section 9: Module 9-Forecasting
9.1 What is Time Series
01:12
9.2 How do we use Time Series Data
02:36
9.3 Components of Time Series
02:39
9.4 Flavors of Time Series
03:45
9.5 Steps of Time Series Forecasting in R
07:19
9.6 Forecasting using Exponential Smoothing
02:38
9.7 Validation of Forecast
00:43
Section 10: Module 10-Further Resources
10.1 Further Resources
01:40
10.2 Helpful Books and Links
01:51

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