A complete journey to web analytics using R tool
4.2 (9 ratings)
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A complete journey to web analytics using R tool

Analyze your website behavior using R tool
4.2 (9 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.
62 students enrolled
Last updated 1/2017
English
Current price: $10 Original price: $20 Discount: 50% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 4 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I 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
View Curriculum
Requirements
  • Students should be comfortable with opening a browser, visiting a website and internet usage.
  • Should have idea about Google Analytics and Google AdWords
  • Basic knowledge of R would be advantage
  • If you have knowledge about graphs and charts previously, it would be an added advantage for you
Description

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.

Who is the target audience?
  • 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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Curriculum For This Course
61 Lectures
03:58:05
+
Introduction to the course
5 Lectures 11:54
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Why Web Analytics
10 Lectures 32:20
2.1 Why Web Analytics
03:56

2.2 What is pre, post and onsite visitors
03:22

2.3 Questions to consider
04:26

2.4 Some insights that we can get from Web Analytics
03:00

2.5 Why is it useful for businesses
03:47

2.6 Who uses Web Analytics
03:00

2.7 Metrics for Web Analytics Report
03:50

2.8 Why invest in Web Analytics
01:53

2.9 Setup a web analytics tracking system
01:45

2.10 Discussion on E-commerce and Non-Ecommerce data
03:21
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The Web Analytics Framework
9 Lectures 43:14
3.1 How data collection works
04:41

3.2 How you can start with your account
04:18

3.3 Understanding data reporting
02:48

3.4 Understanding Web analytics framework and KPIs
14:02

3.5 Choosing a right web analytics tool
05:11

3.6 Web Analytics and Business Organizations
00:54

3.7 Stakeholders and Expectations
02:22

3.8 Reporting to stakeholder's need
04:43

3.9 Understnding Business Strategy
04:15
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Introduction to R Studio
5 Lectures 20:15
4.1 Understanding origin of R and Rstudio
03:28

4.2 Advantages of using R in Web Analytics
05:38

4.3 Introduction to R Interface
05:16

4.4 Introduction to Rstudio Interface
03:10

4.5 Installation Process of R and Rstudio tool
02:43
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R Studio Basics
5 Lectures 38:41
5.1 Understanding Vectors and variables
15:15

5.2 Understanding Dataframe
05:44

5.3 Factors,Subsetting and Summarizing methods
08:36

5.4 R help Feature
05:31

5.5 Importing data in r studio
03:35
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Introduction to Google Analytics in R
6 Lectures 16:20
6.1 Intro to R google analytics
02:25

6.2 Understanding Dev tools and Github
01:28

6.3 Authentication to Google API
04:41

6.5 Extracting Data
04:01

6.6 Google trends Data Extraction
01:58

6.7 Interpreting the results for Decision making
01:47
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Analyzing website behavior
8 Lectures 40:38
7.1. Understanding & Differentiating new users and
07:40

7.2. Hierarchy of visits, visitors and page views
03:06

7.3. Sorting data by Browser capabilities
06:22

7.4. Analyzing data from mobile browsers
06:20

7.5. Optimizing Traffic by time of day
03:14

7.6. Tracking your Marketing
06:49

7.7. Understanding Internal Site search behavior
05:11

7.8. Measuring Return on Investment (ROI)
01:56
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Visualization in R
5 Lectures 14:33
8.1 What is Visualization
01:33

8.2 Benifits of visualizing data in R
02:17

8.3 Useful Graphs to Visualize Information
02:27

8.4 Understanding Map plotting in R
02:29

8.5 Plotting Geographic Information of Visitors on map
05:47
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Introduction to Time Series
6 Lectures 17:17
9.1 What is Time Series
01:08

9.2 How do we use Time Series Data
02:15

9.3 Components of Time Series
02:24

9.4 Flavors of Time Series
03:32

9.5 Steps of Time Series Forecasting in R
05:41

9.6 Forecasting using Exponential Smoothing
02:17
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Further Resources and links
2 Lectures 02:53
10.1 Further Resources
01:25

10.2 Helpful Books and Links
01:28
About the Instructor
Elementary Learners
3.9 Average rating
79 Reviews
751 Students
5 Courses
Make learning online

Elementary Learners is an interactive e-learning platform that is revolutionizing professional online education. Elementary Learners courses are specially curated by experts who monitor the IT industry with a hawk’s eye, and respond to expectations, changes and requirements from the industry, and incorporate them into our courses.

We provide various features to all our aspirants. We are a team of different IT professionals and data analysts who are working on different projects of analytics.