Become a master of Web Analytics Using R Tool in 4 hours
3.0 (12 ratings)
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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.
3.0 (12 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
77 students enrolled
Created by Easylearning guru
Last updated 12/2015
English
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Includes:
  • 4.5 hours on-demand video
  • 68 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I 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
View Curriculum
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.
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
Who 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.
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Curriculum For This Course
Expand All 68 Lectures Collapse All 68 Lectures 04:15:30
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Module 2- Web Analytics in Detail
10 Lectures 33:57
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
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Module 3-Business Strategy and Data collection
10 Lectures 50:55
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
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Module 4-Introduction to R and Rstudio
5 Lectures 20:14
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
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Module 5-R Programming Essentials
5 Lectures 24:39
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
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Module 6-Integrating Google Analytics with R
7 Lectures 18:49
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
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Module 7-Google Analytics Report Generation with R
10 Lectures 47:51
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
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Module 8-Visualizing Data Reports on Graphs
7 Lectures 22:03
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
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Module 9-Forecasting
7 Lectures 20:52
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
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Module 10-Further Resources
2 Lectures 03:31
10.1 Further Resources
01:40

10.2 Helpful Books and Links
01:51
About the Instructor
Easylearning guru
3.2 Average rating
243 Reviews
2,380 Students
12 Courses
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