Sign-Up Flow Optimization Analysis with SQL and Tableau
Sign-Up Flow Optimization Analysis with SQL and Tableau, available at $54.99, has an average rating of 4.75, with 42 lectures, based on 20 reviews, and has 176 subscribers.
You will learn about Understanding the importance and principles of sign-up flow optimization analysis Utilizing SQL with MySQL Workbench to collect and extract data for analysis Creating insightful visualizations with Tableau to represent user interactions during sign-up and login processes Building a Tableau story to effectively interpret and explore data Conducting a comprehensive analysis report to formulate actionable solutions and business objectives Learning the essentials of A/B Testing to validate hypotheses and make data-driven decisions Identifying potential webpage improvements and best practices for optimizing sign-up flow Gaining the skills to enhance user experience and boost conversion rates using SQL and Tableau This course is ideal for individuals who are Aspiring and junior data analysts or Junior data scientists or Junior business intelligence analysts or Business owners It is particularly useful for Aspiring and junior data analysts or Junior data scientists or Junior business intelligence analysts or Business owners.
Enroll now: Sign-Up Flow Optimization Analysis with SQL and Tableau
Summary
Title: Sign-Up Flow Optimization Analysis with SQL and Tableau
Price: $54.99
Average Rating: 4.75
Number of Lectures: 42
Number of Published Lectures: 42
Number of Curriculum Items: 42
Number of Published Curriculum Objects: 42
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Understanding the importance and principles of sign-up flow optimization analysis
- Utilizing SQL with MySQL Workbench to collect and extract data for analysis
- Creating insightful visualizations with Tableau to represent user interactions during sign-up and login processes
- Building a Tableau story to effectively interpret and explore data
- Conducting a comprehensive analysis report to formulate actionable solutions and business objectives
- Learning the essentials of A/B Testing to validate hypotheses and make data-driven decisions
- Identifying potential webpage improvements and best practices for optimizing sign-up flow
- Gaining the skills to enhance user experience and boost conversion rates using SQL and Tableau
Who Should Attend
- Aspiring and junior data analysts
- Junior data scientists
- Junior business intelligence analysts
- Business owners
Target Audiences
- Aspiring and junior data analysts
- Junior data scientists
- Junior business intelligence analysts
- Business owners
Do you want to learn Tableau and SQL?
Are you looking for an engaging course that will teach you how to perform A/B testing in real-life situations?
If so, then you have come to the right place.
Elevate your website’s performance with our Udemy course on Sign-Up Flow Optimization Analysis. This comprehensive journey begins with an introduction to the significance of sign-up flow optimization and explores the motivation behind examining 365’s data.
You’ll delve into understanding the 365’s sign-up process and learn how to use SQL data retrieving techniques with MySQL Workbench. By building insightful visualizations with Tableau, you’ll represent the issues encountered during the sign-up and login processes, crafting a clear picture of user interactions.
Create a Tableau story to interpret data effectively and develop a comprehensive analysis report, forming actionable solutions to meet your business objectives. Explore the essential statistical method of A/B Testing to validate your hypotheses and make informed decisions. The course concludes with a discussion on potential webpage improvements, best practices, and further optimization steps.
Whether you’re a business owner, marketer, or aspiring data analyst, this course equips you with the necessary skills to boost conversion rates and enhance user experience. By using powerful tools like SQL and Tableau, you’ll master the art of sign-up flow optimization, paving the way for success in your field.
Enrol in the Udemy course now and embark on this transformative journey towards mastering the art of optimization analysis!
Course Curriculum
Chapter 1: Intro to Sign-Up Flow Optimization Analysis
Lecture 1: What Does the Course Cover?
Lecture 2: Motivation
Chapter 2: Case Study
Lecture 1: Understanding the 365's Sign-Up Process
Lecture 2: Basic Terminology
Lecture 3: Defining the Key Aspects of the Sign-Up Process
Lecture 4: Sketching the Story
Chapter 3: SQL: Data Retrieving
Lecture 1: Types of Data Access
Lecture 2: Getting to know the Database
Lecture 3: SQL Query 1: Sign-Up Conversion Rate
Lecture 4: SQL Query 2: Sign-Up Types and Errors – Part 1
Lecture 5: SQL Query 2: Sign-Up Types and Errors – Part 2
Lecture 6: SQL Query 3: Log in Types and Errors
Chapter 4: Tableau: Dashboard Sheets
Lecture 1: SQL and Tableau
Lecture 2: Sign-Up Conversion Rate
Lecture 3: Device and Operating System Distribution
Lecture 4: Preferred Devices Horizontal Bar Chart
Lecture 5: Preferred Operating Systems Horizontal Bar Chart
Lecture 6: Sign-Up Types and Errors Bar Charts
Lecture 7: Login Types and Errors Bar Charts
Chapter 5: Creating the Tableau Story
Lecture 1: Creating Dashboards: Getting Familiar with the Canvas
Lecture 2: Sign-Up Conversion Rates: Sheet Swapping with Parameters
Lecture 3: Sign-Up Conversion Rates: Containers
Lecture 4: Preferred Sign-Up Devices and Operating Systems
Lecture 5: Sign-Up Types and Errors
Lecture 6: Login Types and Errors
Lecture 7: Formatting the Tableau Story – Part 1
Lecture 8: Formatting the Tableau Story – Part 2
Chapter 6: Analysis Report
Lecture 1: Dashboard Application for an Analysis Report
Lecture 2: Current State of Affairs: Observing Story Point 1 – Conversion Rate
Lecture 3: Current State of Affairs: Observing Story Point 2 – Sign-Up Types and Preference
Lecture 4: Current State of Affairs: Observing Story Point 2 – Sign-Up Types Success and Fa
Lecture 5: Current State of Affairs: Observing Story Point 3 – Login Types
Lecture 6: Business Objective
Lecture 7: Hypothesis and Opportunity Sizing – Part 1
Lecture 8: Hypothesis and Opportunity Sizing – Part 2
Lecture 9: Actionable Insights Based on the Analysis
Chapter 7: A/B Testing
Lecture 1: Understanding the Fundamentals of A/B Testing
Lecture 2: Setting Up an A/B Test: Confidence, Significance, and p-values
Lecture 3: Setting Up an A/B Test: Minimum Detectable Effect and Statistical Power
Lecture 4: Running an A/B Test: Execution and Analysing the Results
Chapter 8: Discussion and Further Analysis of a Website Sign-Up Flow
Lecture 1: Discussion on the Observations
Lecture 2: Further Steps and Conclusion
Instructors
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365 Careers
Creating opportunities for Data Science and Finance students
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 6 votes
- 5 stars: 13 votes
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