Three tools to choose from or combine
After successful payment, you can watch the course video

The second session: Data analysis and data visualization-Tableau, Data Studio, GA4

Tableau teaching | Google Data Studio teaching | GA4 teaching | Data analysis | Data visualization

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Complete video teaching + live lecture course

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Project Competition | Customized Learning

Ronald GMA
Ronald GMA
Ronald GMA
A group of lecturers who work as data analysts at leading multinational companies will lead you into the world of data analysis and visualization.
data course
Notify me of the next class start

Do you face these challenges

Often need to produce weekly and monthly reports, but cannot quickly process massive amounts of data or information

Want to make decisions quickly and correctly or convince your supervisor through data visualization?

GA4 will completely replace the old version of GA next year, but the GA4 architecture is not yet familiar with it.

Want to learn data analysis and visualization, but don’t know where to start?

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Become a sought-after talent with data analysis and data visualization . Job transfer and promotion will be smoother than others.
Learn about the course

30 hours of solid training to quickly get started with data analysis and data visualization

Learn the application of data analysis and visualization tools from data analysts, easily grasp and interpret the meaning of data, make correct decisions, and double your work performance

analysis

Data analysis thinking and execution

Develop a data analysis mindset and learn how to execute it

web data

Analyze website data

Be familiar with GA4 and be able to find out questions about website data from reports by yourself

Roas improve

Data visualization ability

Ability to process and visualize data

real project

Master analytical tools

Completely master the basic and advanced usage of Tableau, Data Studio, and GA4

Learn the most powerful data analysis tools

Who is this course suitable for?

person a

Interested in data analysis and visualization

Office workers or students who want to become a sought-after talent through learning data analysis and data visualization

person b

Managers who need to make decisions through reports

Managers who often produce weekly and monthly reports and want to process and analyze large amounts of data quickly and effectively

person c

Digital marketer, web designer

Marketers or web designers who have learned GA and want to become more sophisticated in analyzing website data through GA4

Lecturer introduction

GA4 Lecturer

David Ko

Data Analyst Director

IFII

about Edgar

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Currently working as the data analysis director at SalesFrontier, a Google Marketing Platform Partner certified advertising technology reseller, he is responsible for Google Analytics online integration and offline analysis, data report integration, Big Query strategy formulation, etc. Good at data analysis, integration and application of various Google data-related tools.

Expertise

#GA4

#Data Studio

#Data Integration

about Jeff

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He once worked as a business analyst at a leading taxi company and biotechnology company in Taiwan, responsible for internal and customer data analysis and management. He also assisted a leading global management consulting company in analyzing user experience satisfaction and improving financial application processes. Specializing in Tableau applications, data analysis and data visualization, he has served as a consultant and training instructor for more than 100+ companies and units.

Expertise

#Tableau

#BusinessIntelligence

#Data Analysis

Tableau Instructor

David Ko

ex-Business Intelligence Analyst

Data Studio Instructor

David Ko

Data Analyst

about Alvis

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Currently working as a data analyst for a digital product with 20 million monthly active users, he is responsible for establishing the data tracking process of App products and product data analysis, and has led the company's data migration plan. In the past, he worked as a Marketing Manager at a well-known online course platform. He also served as a lecturer at many schools and units such as National Chengchi University and National Defense University. He is an analyst who is good at both data analysis and digital marketing.

Expertise

#Data Studio

#Data Analysis

#DigitalMarketing

Course Themes

Theme 1
data analysis concept
  • What is data analysis
  • Data analysis part
  • How to become a good data analyst
Theme 2
GA4 basic concepts and settings
  • Basic setup instructions
  • Differences between classic version GA and GA4
  • Account and user management
  • Dimensions and Metrics
  • Work stage concept
Theme 3
Create an event from scratch
  • Event introduction
  • Automatically collected events
  • Create event
  • Add custom parameters to automatic collection events
Theme four
Basic GA4 report strategy
  • real-time reports
  • customer development report
  • Engagement Report
  • Profit statement
  • Return visit rate report
  • Demographic report
  • technical report
Topic five
GA4 exploration function
  • path exploration
  • Program exploration
  • Overlapping segments
  • Cohort exploration
  • Explore in any form
  • user life cycle
Topic six
Attribution and analysis of advertising data
  • Understand the attribution model
  • advertising report
  • Schema comparison report
  • Conversion path report
Theme seven
Flexible application of advertising data
  • Report identification information User ID
  • target audience
  • advertising remarketing
  • Data import
Topic eight
Integration and application of GA and other systems
  • Integrate with Google Ads
  • Integrate with BigQuery
  • Examples of integrated applications
Project Competition
  • Data analysis is not only about listening to lectures, but also about learning it before it can be truly absorbed! This course covers group project competitions. Students must practice real-life operations and use the knowledge learned in class to perform data analysis and visual communication.
    Live lecture
    • In addition to the video courses, there are also 3 live lectures, where senior analysts share first-hand industry experience and applications, so that you can not only operate data analysis and visualization, but also know how to apply it in real cases.

      *If you miss the live broadcast, a video will be provided
    Theme 1
    data analysis concept
    • What is data analysis
    • Data analysis part
    • How to become a good data analyst
    Theme 2
    GA4 basic concepts and settings
    • Basic setup instructions
    • Differences between classic version GA and GA4
    • Account and user management
    • Dimensions and Metrics
    • Work stage concept
    Theme 3
    Create an event from scratch
    • Event introduction
    • Automatically collected events
    • Create event
    • Add custom parameters to automatic collection events
    Theme four
    Basic GA4 report strategy
    • real-time reports
    • customer development report
    • Engagement Report
    • Profit statement
    • Return visit rate report
    • Demographic report
    • technical report
    Topic five
    GA4 exploration function
    • path exploration
    • Program exploration
    • Overlapping segments
    • Cohort exploration
    • Explore in any form
    • user life cycle
    Topic six
    Attribution and analysis of advertising data
    • Understand the attribution model
    • advertising report
    • Schema comparison report
    • Conversion path report
    Theme seven
    Flexible application of advertising data
    • Report identification information User ID
    • advertising remarketing
    • target audience
    • Data import
    Topic eight
    Integration and application of GA and other systems
    • Integrate with Google Ads
    • Integrate with BigQuery
    • Examples of integrated applications
    Project competition
    • Data analysis is not only about listening to lectures, but also about learning it before it can be truly absorbed! This course covers group project competitions. Students must practice real-life operations and use the knowledge learned in class to perform data analysis and visual communication.
    Live lecture
    • In addition to the video courses, there are also 3 live lectures, where senior analysts share first-hand industry experience and applications, so that you can not only operate data analysis and visualization, but also know how to apply it in real cases.
    • *If you miss the live broadcast, a video will be provided
    Theme 1
    The world of Tableau and before data processing
    • Tableau series product introduction
    • Structured data vs. unstructured data
    • Data granularity
    • Data connection&Clean Data
    Theme 2
    Tableau Prep visual data processing
    • Join Data
    • Union Data
    • Pivot & Unpivot
    • Export flow Data
    Theme 3
    Tableau features and examples-1
    • Filter & Sort
    • Groups & Hierarchies
    • Data attributes and dates
    • Continuous & Discrete
    Theme four
    Tableau features and examples-2
    • data collection
    • parameter
    • Data blending
    • Archive types and data release
    Topic five
    Introduction to common views
    • Basic statistical charts
    • tree map
    • map
    • Custom background image
    Topic six
    Function application and table calculation
    • Aggregation and non-aggregation
    • Function types and logic
    • Table calculation rules
    • Tableau sequence of operations
    Theme seven
    LOD level of detail
    • Introduction to view levels
    • Fix Level
    • Include Level
    • Exclude Level
    Topic eight
    Introduction to Dashboard & Story
    • Dashboard elements
    • Interactive dashboard
      Project Competition
      • Data analysis is not only about listening to lectures, but also about learning it before it can be truly absorbed! This course covers group project competitions. Students must practice real-life operations and use the knowledge learned in class to perform data analysis and visual communication.
      Live lecture
      • In addition to the video courses, there are also 3 live lectures, where senior analysts share first-hand industry experience and applications, so that you can not only operate data analysis and visualization, but also know how to apply it in real cases.

        *If you miss the live broadcast, a video will be provided
      Theme 1
      The world of Tableau and before data processing
      • Tableau series product introduction
      • Structured data vs. unstructured data
      • Data granularity
      • Data connection&Clean Data
      Theme 2
      Tableau Prep visual data processing
      • Join Data
      • Union Data
      • Pivot & Unpivot
      • Export flow Data
      Theme 3
      Tableau functions and examples-1
      • Filter & Sort
      • Groups & Hierarchies
      • Data attributes and dates
      • Continuous & Discrete
      Theme four
      Tableau features and examples-2
      • data collection
      • parameter
      • Data blending
      • Archive types and data release
      Topic five
      Introduction to common views
      • Basic statistical charts
      • tree map
      • map
      • Custom background image
      Topic six
      Function application and table calculation
      • Aggregation and non-aggregation
      • Function types and logic
      • Table calculation rules
      • Tableau sequence of operations
      Theme seven
      LOD level of detail
      • Introduction to view levels
      • Fix Level
      • Include Level
      • Exclude Level
      Topic eight
      Introduction to Dashboard & Story
      • Dashboard elements
      • Interactive dashboard
      Project competition
      • Data analysis is not only about listening to lectures, but also about learning it before it can be truly absorbed! This course covers group project competitions. Students must practice real-life operations and use the knowledge learned in class to perform data analysis and visual communication.
      Live lecture
      • In addition to the video courses, there are also 3 live lectures, where senior analysts share first-hand industry experience and applications, so that you can not only operate data analysis and visualization, but also know how to apply it in real cases.
      • *If you miss the live broadcast, a video will be provided
      Theme 1
      Think like a data analyst
      • If I am poor at mathematics, can I do good data analysis?
      • What is data analysis?
      • Basic process of data analysis
      • Common data analysis frameworks
      • Introduction to data analysis terms
      Theme 2
      Introduction to Data Studio
      • Introduction to data visualization tools
      • Data Studio interface introduction
      Theme 3
      Data Studio basic tutorial
      • The process of creating data reports
      • Data source concatenation
      • Report introduction
      • Data type description
      • Table data settings
      • Data filter settings
      • Report permissions and sending reports
      Theme four
      Data Studio Advanced Tutorial
      • mixed data
      • Add new field
      • Commonly used syntax - case
      • Introduction to regular expressions
      • Comprehensive application - case and regular expressions
      • New parameters and applications
      • community visual presentation
      • Report visual optimization
      Topic five
      Practical application scenarios-subscription industry (Part 1)
      • Product data report|Concept explanation
      • Product data report|Practical teaching
      Topic six
      Practical application scenarios-subscription industry (Part 2)
      • Business data report|Explanation of concepts
      • Business data report|Practical teaching
      Theme seven
      Practical application scenarios-e-commerce industry (Part 1)
      • Website analysis report|Explanation of concepts
      • Website analysis report|Practical teaching
      Topic eight
      Practical application scenarios-e-commerce industry (Part 2)
      • E-commerce conversion report|Explanation of concepts
      • E-commerce conversion report|Practical teaching
        Project Competition
        • Data analysis is not only about listening to lectures, but also about learning it before it can be truly absorbed! This course covers group project competitions. Students must practice real-life operations and use the knowledge learned in class to perform data analysis and visual communication.
        Live lecture
        • In addition to the video courses, there are also 3 live lectures, where senior analysts share first-hand industry experience and applications, so that you can not only operate data analysis and visualization, but also know how to apply it in real cases.

          *If you miss the live broadcast, a video will be provided
        Theme 1
        Think like a data analyst
        • If I am poor at mathematics, can I do good data analysis?
        • What is data analysis?
        • Basic process of data analysis
        • Common data analysis frameworks
        • Introduction to data analysis terms
        Theme 2
        Introduction to Data Studio
        • Introduction to data visualization tools
        • Data Studio interface introduction
        Theme 3
        Data Studio basic tutorial
        • The process of creating data reports
        • Data source concatenation
        • Report introduction
        • Data type description
        • Table data settings
        • Data filter settings
        • Report permissions and sending reports
        Theme four
        Data Studio Advanced Tutorial
        • mixed data
        • Add new field
        • Commonly used syntax - case
        • Introduction to regular expressions
        • Comprehensive application - case and regular expressions
        • New parameters and applications
        • community visual presentation
        Topic five
        Practical application scenarios-subscription industry (Part 1)
        • Product data report|Concept explanation
        • Product data report|Practical teaching
        Topic six
        Practical application scenarios-subscription industry (Part 2)
        • Business data report|Explanation of concepts
        • Business data report|Practical teaching
        Theme seven
        Practical application scenarios-e-commerce industry (Part 1)
        • Website analysis report|Explanation of concepts
        • Website analysis report|Practical teaching
        Topic eight
        Practical application scenarios-e-commerce industry (Part 2)
        • E-commerce conversion report|Explanation of concepts
        • E-commerce conversion report|Practical teaching
        Project competition
        • Data analysis is not only about listening to lectures, but also about learning it before it can be truly absorbed! This course covers group project competitions. Students must practice real-life operations and use the knowledge learned in class to perform data analysis and visual communication.
        Live lecture
        • In addition to the video courses, there are also 3 live lectures, where senior analysts share first-hand industry experience and applications, so that you can not only operate data analysis and visualization, but also know how to apply it in real cases.
        • *If you miss the live broadcast, a video will be provided

        Expert theme lectures

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        Topic: GA4
        Automobile industry advertising data analysis and sharing‍ Time: 7/5 • 1930 - 2130

        Edgar
        Data Analyst Director
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        Topic: Tableau
        Customer Relationship Management Time: 7/12 • 1930 - 2130

        Jeff
        ex-Business Intelligence Analyst
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        Topic: Data Studio
        Master data visualization tools and switch from marketing to data analyst ‍ Time: 7/19 • 1930 - 2130

        Alvis
        Data Analyst
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        Topic: GA4
        Build your lightweight version of CDP
        Time: 7/26 • 1930 - 2130

        Edgar
        Data Analyst Director
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        Topic: Tableau
        Data Science: BI Visual Performance Analysis in Practice‍ Time: 8/2 • 1930 - 2130

        Yili Shih
        Senior executive in finance and insurance industry
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        Topic: Data Studio
        Social Media Dashboard‍ Time: 8/9 • 1930 - 2130

        Alvis
        Data Analyst
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        Topic: GA4
        Six major analysis and industry examples of commercial applications (e-commerce, games and B2B Lead)
        Time: 8/16 • 1930 - 2130

        Jess
        Founder and Senior Consultant, JCXO
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        Topic: Tableau
        Analysis of bond issuance data in financial markets‍ Time: 8/23 • 1930 - 2130

        Alex
        TBC
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        Topic: Data Studio
        Content Site Dashboard‍ Time: 8/30 • 1930 - 2130

        Alvis
        Data Analyst
        linkedin icon

        Registration Information

        Improve your data analysis and visualization now!
        $6,580
        Original price:
        $8,800
        date icon

        Video course viewing period: 1 year

        time icon

        Approximately 7 hours of course videos + 2 assignments

        class icon

        Video teaching + 3 live lectures

        class icon

        Zoom

        Additional Purchase Plan: Data Analysis and Visualization-Module Course

        Sign up for any 2 module courses at the same time,
        $1,100 discount now!
        Sign up for 3 module courses at one time,
        $2,400 discount now!
        Improve your data analysis and visualization now!
        $ 7,680
        Original price:
        $9,800
        date icon

        Video course viewing period: 1 year

        time icon

        Approximately 8 hours of course videos + 2 assignments

        class icon

        Video teaching + 3 live lectures

        class icon

        Zoom

        Additional Purchase Plan: Data Analysis and Visualization-Module Course

        Sign up for any 2 module courses at the same time,
        $1,100 discount now!
        Sign up for 3 module courses at one time,
        $2,400 discount now!
        Improve your data analysis and visualization now!
        $6,580
        Original price:
        $8,800
        date icon

        Video course viewing period: 1 year

        time icon

        Approximately 6 hours of course videos + 2 assignments

        class icon

        Video teaching + 3 live lectures

        class icon

        Zoom

        Additional Purchase Plan: Data Analysis and Visualization-Module Course

        Sign up for any 2 module courses at the same time,
        $1,100 discount now!
        Sign up for 3 module courses at one time,
        $2,400 discount now!
        Improve your data analysis and visualization now!
        $750
        time icon

        Each live broadcast lasts about 2 hours

        class icon

        9 live lectures, optional for purchase

        Completion Certificate

        After completing the GA4 course, Tableau course and Google Data Studio course, we will issue a completion certificate. The certificate can be placed on LinkedIn to prove your marketing abilities.

        GMA e-certificate

        F.A.Q

        What are the live courses teaching? How is it different from a video course?

        Each course will be paired with three live theme lectures, where the lecturer will share practical experience in data analysis and visualization from different points of view, and students can also interact more directly with the lecturer. If you are interested in a lecture on a single topic, you can also purchase it through single registration.

        What should I do if I miss the live class?

        Live classes will be recorded. If you are unable to attend due to something else, or if you purchase the course after the live broadcast, the live video will be used instead.

        What is the "Project Competition" in the course module?

        GMA emphasizes learning by doing. In addition to attending lectures, it also requires practical experience. Therefore, the entire course module includes project competitions, providing students with opportunities to analyze and visualize data and accumulate practical experience.

        How to apply for a completion certificate?

        When students finish viewing the course content, the certificate issuance system will automatically send a completion certificate to your mailbox.

        What should I do if I have completed the course but have not received my certificate of completion?

        If you do not receive the completion certificate within three days after completing the course, please check the junk mail and advertising mail folders in your mailbox first. If you still do not receive the certificate, you can send a private message to our official Line account @870vpxyy and we will assist you.

        How to apply for a completion certificate?

        When students finish viewing the course content, the certificate issuance system will automatically send a completion certificate to your mailbox.

        What should I do if I have completed the course but have not received my certificate of completion?

        If you do not receive the completion certificate within three days after completing the course, please check the junk mail and advertising mail folders in your mailbox first. If you still do not receive the certificate, you can send a private message to our official Line account @870vpxyy and we will assist you.

        Can I open a general editor?

        Yes, if you choose to issue a unified editor when registering, we will provide an invoice within three working days after receiving the payment.

        Is there a viewing period for video courses and live recordings?

        Course videos and live recordings can be viewed unlimited times within one year.

        Are video lessons available for immediate viewing?

        Yes, as long as you complete the payment, we will confirm your payment within three working days. After confirmation, you will receive a platform registration letter, and you can watch the course video immediately after completing the registration.