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Introduction to Web Analytics

Introduction to Web Analytics

This course will provide you with a basic understanding of what web analytics as a language, and what big data is.

The course is going to help you understand the language of internet activity, and how to use different techniques, in order to improve your website’s performance and thus your business. Although web analytics is technical area, we will explore different aspect of this topic in order to establish its importance in the modern business world.

 

This course will make you fluent, adept and innovative when it comes to the language of web activity, conducting analysis of such activity (from here on referred to as web analytics) and make use of it in your commercial, organizational, social or personal sphere or context.

Along with this theoretical and practical knowledge, we will be providing you a history of web analytics, how it began to evolve from the first basic and rudimentary counters of visitor quantum, to the wide array of tools that open up the whole demographics of the internet to the web analyst of today.

 

It was Steve Jobs, the late owner and founder of the ingenious Apple Corporation, who once remarked that in the future, only those who can read data will be able to cause change in what that data is measuring.

So like a farmer who looks for information to analyze in the humidity of the clay in his fields, the moisture in the air, the formation of clouds for signs of rain, the resilience of pests or the life cycles of nitrates and other minerals necessary for agricultural flourishing- or even more so like the highly valued financial analysts who analyze market trends and the stock market – the web analyst is in essence an expert in cyber-agriculture. He understands how a website grows, recedes, why it expands and why it shrinks in traffic. He sees that what seems like lines of code or undecipherable data to the layperson, is an elegant and meaningful treasure trove of information that could make or break a website’s popularity, rankings and traffic.

Lastly, we will be looking at the relationship between e-commerce and web analytics and why in today’s business environment it is essential to involve web analytics in understanding one’s business, making the right decisions and measuring the effectiveness of those decisions.

 

Course Curriculum

SECTION 1: UNDERSTANDING WEB ANALYTICS

1
What is Web Analytics?

Self-Paced

2
The Purpose of Web Analytics

Self-Paced

3
The History of Web Analytics

Self-Paced

4
How to Unlock Your Website’s Potential Through Web Analytics?

Self-Paced

5
How Web Analytics Can Help Your Business Grow?

Self-Paced

SECTION 2: USING WEB ANALYTICS

1
Web Analytics Basics

Self-Paced

2
How to Choose a Web Analytic Tool?

Self-Paced

3
Web Analytic Dashboard

Self-Paced

4
Which Metrics to Track?

Self-Paced

5
How to Identify Site Referrers?

Self-Paced

6
How to Identify Your Audience?

Self-Paced

7
How to Identify the Most Important Pages?

Self-Paced

8
What are Key Performance Indicators?

Self-Paced

SECTION 3: GOOGLE WEB ANALYTICS BASICS

1
Google Web Analytics Basics

Self-Paced

2
Installing Google Analytics

Self-Paced

3
Setting Up

Self-Paced

4
Analyzing Data Through Google Analytics

Self-Paced

SECTION 4: HOW TO MAKE WEB ANALYTICS WORK FOR YOU

1
Web Traffic Data Analysis

Self-Paced

2
Google Analytics Vs. Crazy Egg

Self-Paced

SECTION 5: HOW TO INCREASE YOUR SITE’S VISIBILITY THROUGH WEB ANALYTICS

1
How to Increase Your Site’s Visibility through Web Analytics

Self-Paced

2
Why Increase Visibility?

Self-Paced

3
Three Trusted Ways to Increase Visibility Using Web Analytics

Self-Paced

4
Google Metrics that Help With Website Visibility

Self-Paced

SECTION 6: TEN MOST COMMON WEB ANALYTICS MISTAKES AND PITFALLS

1
Ten Most Common Web Analytics Mistakes and Pitfalls

Self-Paced

2
Mistakes to Avoid

Self-Paced

3
Pitfalls to Avoid

Self-Paced

SECTION 7: WEB ANALYTICS: BEST PRACTICES

1
Strict Documentation

Self-Paced

2
Tight Integration with Reporting System

Self-Paced

3
Understandings of Business Process

Self-Paced

4
Sharing of Ideas and Knowledge

Self-Paced

5
Having a Roadmap for Improvements

Self-Paced

SECTION 8: ANALYZING ANALYTICAL DATA

1
How to Know If Your Analytic Data is Performing Well?

Self-Paced

2
Using Testing Software

Self-Paced

SECTION 9: WEB ANALYTICS METHODS

1
Cookies

Self-Paced

2
Geotargeting

Self-Paced

3
Mobile Phone Tracking

Self-Paced

4
Geotagging

Self-Paced

SECTION 10: SOCIAL MEDIA ANALYTICS

1
Social Media Analytics

Self-Paced

2
Measure

Self-Paced

3
Analyze

Self-Paced

4
Interpret

Self-Paced

SECTION 11: MOBILE ANALYTICS

1
Mobile Analytics

Self-Paced

2
JavaScript and HTTP Cookies are Unreliable

Self-Paced

3
Understand How Customers Currently Interact With Your Site

Self-Paced

4
Adapt Your Value Proposition to Customer Needs

Self-Paced

5
Study Examples Across and Beyond Your Industry

Self-Paced

6
Use Analytics Software to Get the Data

Self-Paced

SECTION 12: TIPS FOR WEBMASTERS

1
Tips for Webmasters

Self-Paced

2
Wrapping Up

Self-Paced

3
Quiz

50 questions

SECTION 1: UNDERSTANDING WEB ANALYTICS

1
What is Web Analytics?
Self-Paced
2
The Purpose of Web Analytics
Self-Paced
3
The History of Web Analytics
Self-Paced
4
How to Unlock Your Website’s Potential Through Web Analytics?
Self-Paced
5
How Web Analytics Can Help Your Business Grow?
Self-Paced

SECTION 2: USING WEB ANALYTICS

1
Web Analytics Basics
Self-Paced
2
How to Choose a Web Analytic Tool?
Self-Paced
3
Web Analytic Dashboard
Self-Paced
4
Which Metrics to Track?
Self-Paced
5
How to Identify Site Referrers?
Self-Paced
6
How to Identify Your Audience?
Self-Paced
7
How to Identify the Most Important Pages?
Self-Paced
8
What are Key Performance Indicators?
Self-Paced

SECTION 3: GOOGLE WEB ANALYTICS BASICS

1
Google Web Analytics Basics
Self-Paced
2
Installing Google Analytics
Self-Paced
3
Setting Up
Self-Paced
4
Analyzing Data Through Google Analytics
Self-Paced

SECTION 4: HOW TO MAKE WEB ANALYTICS WORK FOR YOU

1
Web Traffic Data Analysis
Self-Paced
2
Google Analytics Vs. Crazy Egg
Self-Paced

SECTION 5: HOW TO INCREASE YOUR SITE’S VISIBILITY THROUGH WEB ANALYTICS

1
How to Increase Your Site’s Visibility through Web Analytics
Self-Paced
2
Why Increase Visibility?
Self-Paced
3
Three Trusted Ways to Increase Visibility Using Web Analytics
Self-Paced
4
Google Metrics that Help With Website Visibility
Self-Paced

SECTION 6: TEN MOST COMMON WEB ANALYTICS MISTAKES AND PITFALLS

1
Ten Most Common Web Analytics Mistakes and Pitfalls
Self-Paced
2
Mistakes to Avoid
Self-Paced
3
Pitfalls to Avoid
Self-Paced

SECTION 7: WEB ANALYTICS: BEST PRACTICES

1
Strict Documentation
Self-Paced
2
Tight Integration with Reporting System
Self-Paced
3
Understandings of Business Process
Self-Paced
4
Sharing of Ideas and Knowledge
Self-Paced
5
Having a Roadmap for Improvements
Self-Paced

SECTION 8: ANALYZING ANALYTICAL DATA

1
How to Know If Your Analytic Data is Performing Well?
Self-Paced
2
Using Testing Software
Self-Paced

SECTION 9: WEB ANALYTICS METHODS

1
Cookies
Self-Paced
2
Geotargeting
Self-Paced
3
Mobile Phone Tracking
Self-Paced
4
Geotagging
Self-Paced

SECTION 10: SOCIAL MEDIA ANALYTICS

1
Social Media Analytics
Self-Paced
2
Measure
Self-Paced
3
Analyze
Self-Paced
4
Interpret
Self-Paced

SECTION 11: MOBILE ANALYTICS

1
Mobile Analytics
Self-Paced
2
JavaScript and HTTP Cookies are Unreliable
Self-Paced
3
Understand How Customers Currently Interact With Your Site
Self-Paced
4
Adapt Your Value Proposition to Customer Needs
Self-Paced
5
Study Examples Across and Beyond Your Industry
Self-Paced
6
Use Analytics Software to Get the Data
Self-Paced

SECTION 12: TIPS FOR WEBMASTERS

1
Tips for Webmasters
Self-Paced
2
Wrapping Up
Self-Paced
3
Quiz
50 questions

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Get course
Study Mode: Online
Course view: 54777
Enrolled: 6470 students
Duration: Self-Paced Learning
Lectures: 49
Course type: Short Courses
Certificate of Completion: FREE
Price:
₦10,000 ₦3,500