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Web Analytics Courses Online

Master web analytics for measuring online performance. Learn to analyze web traffic, user behavior, and marketing effectiveness using tools like Google Analytics.

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Explore the Web Analytics Course Catalog

  • C

    Coursera Project Network

    Getting Started in Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Analyze Website Visitors with Google Analytics Segments

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Customer Insights, Analysis, Target Audience, Marketing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    124 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    I

    Illinois Tech

    Predictive Analytics

    Skills you'll gain: Predictive Analytics, Data Cleansing, Unsupervised Learning, Data Analysis, Data Manipulation, Data Mining, Supervised Learning, Decision Tree Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Kibana Projects: Data Analytics & Visualization

    Skills you'll gain: Dashboard, Kibana, Interactive Data Visualization, Business Analytics, Data-Driven Decision-Making, System Monitoring, Web Analytics, Data Transformation, Exploratory Data Analysis, Data Visualization Software, Trend Analysis, Data Analysis, Automation, Business Intelligence, Retail Sales, Scripting, Devops Tools, Data Visualization, Python Programming, Data Science

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Business Analytics

    Skills you'll gain: People Analytics, Data-Driven Decision-Making, Fraud detection, Business Analytics, Descriptive Analytics, Financial Data, Marketing Analytics, Analytics, Talent Management, Financial Analysis, Predictive Analytics, Human Resources Management and Planning, Peer Review, Data Analysis, Business Analysis, Financial Statement Analysis, Financial Forecasting, Customer Insights, Workforce Planning, Demand Planning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Regression Analysis, Feature Engineering, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.9K reviews

    Advanced · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    G

    Google

    Assess for Success: Marketing Analytics and Measurement

    Skills you'll gain: Media Planning, Spreadsheet Software, A/B Testing, Return On Investment, Marketing Analytics, Key Performance Indicators (KPIs), Google Analytics, Pivot Tables And Charts, Performance Measurement, Digital Marketing, Data Presentation, Data Visualization, Google Ads, Marketing Budgets, Marketing, Web Analytics and SEO, Data Analysis, Stakeholder Communications

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Social Media Data Analytics

    Skills you'll gain: Data Visualization, Text Mining, Social Network Analysis, Statistical Analysis, Data Visualization Software, Case Studies, Application Programming Interface (API), Unstructured Data, Data Analysis, R Programming, Statistical Methods, Correlation Analysis, Regression Analysis, Data Collection, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    297 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Advanced Google Analytics - A Practical Guide

    Skills you'll gain: Data Collection, Data Validation, Marketing Effectiveness

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations: Data, Data, Everywhere

    Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL

    4.8
    Rating, 4.8 out of 5 stars
    ·
    118K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Data Analytics Capstone: Complete a Case Study

    Skills you'll gain: LinkedIn, Data Analysis, Data Processing, Spreadsheet Software, Case Studies, Google Sheets, Analysis, Analytical Skills, Interviewing Skills, Data Storytelling, Data Visualization Software, Business Analytics, Artificial Intelligence, Portfolio Management, Data Cleansing, Data Visualization, Presentations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Amsterdam

    Data Analytics for Lean Six Sigma

    Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Regression Analysis, Data Visualization Software, Probability Distribution, Descriptive Statistics, Data Analysis, Statistical Analysis, Process Improvement, Statistics, Correlation Analysis, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 3 Months

Web Analytics learners also search

Analytics
Business Analytics
Digital Analytics
Financial Analytics
Social Media Analytics
Business Intelligence
Accounting Analytics
Business Intelligence Projects
1234…503

In summary, here are 10 of our most popular web analytics courses

  • Getting Started in Google Analytics: Coursera Project Network
  • Analyze Website Visitors with Google Analytics Segments: Coursera Project Network
  • Predictive Analytics: Illinois Tech
  • Kibana Projects: Data Analytics & Visualization: EDUCBA
  • Business Analytics: University of Pennsylvania
  • Google Advanced Data Analytics: Google
  • Assess for Success: Marketing Analytics and Measurement: Google
  • Social Media Data Analytics: University of Washington
  • Advanced Google Analytics - A Practical Guide: Packt
  • Foundations: Data, Data, Everywhere: Google

Skills you can learn in Mobile And Web Development

Web (13)
Mobile App (9)
Javascript (8)
Mobile Application Development (8)
Web Development (8)
Android Software Development (7)
CSS (6)
Programming Language (6)
Web Application (6)
Android Studio (5)
Angularjs (5)
Computer Program (5)

Frequently Asked Questions about Web Analytics

Web analytics is a method of gathering and analyzing data from a website. Web analytics allows you to measure such data as who's visiting your website, where they're from, what pages they're viewing, and other types of information. You can use web analytics to measure a site that you have administrative access to so that you can determine what content is popular and resonating with clients or site viewers. It's a powerful tool to have as a web administrator because you can make changes to your site to attract or retain more visitors.‎

You can use web analytics to see what's working with your website as well as to identify any problems that you might have with your site so that you can optimize its performance. Web analytics can show you the patterns of traffic on your site, which pages viewers go to most, and what content attracts the most visitors. You can also see the demographics of your website visitors as well as what platforms or devices they're using to view your site. It's important to learn how to view and process the data that web analytics can provide you so that you can make your site the most effective that it can be.‎

Once you've gained a knowledge of web analytics, you can use your skills to advance in your career. If you're looking to start a new career, you can look for jobs in the growing field of web analytics, where companies of all types are looking to harness data and make the most of their online presence. You can also seek job opportunities within the company where you already work, or you can try to strike out on your own as a freelance web analyst or consultant.‎

Online courses on Coursera will help you do more than just learn the basics of web analytics. Instructors will help you gain a thorough knowledge of web analytics as well as apply what you've learned in practical ways. You'll be able to understand web analytics thoroughly, which will give you a definite advantage in this innovative field. You'll be able to carry your newfound skills and confidence into a better position within your current workplace or an entirely new career.‎

Online Web Analytics courses offer a convenient and flexible way to enhance your knowledge or learn new Web Analytics skills. Choose from a wide range of Web Analytics courses offered by top universities and industry leaders tailored to various skill levels.‎

When looking to enhance your workforce's skills in Web Analytics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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