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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Easylearning guru
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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
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