Online Course top-rated
Sign-Up Flow Optimization Analysis with SQL and Tableau

Name: Sign-Up Flow Optimization Analysis with SQL & Tableau Course
Price: 36 USD

with Ivan Manov

Gain first-hand data analyst experience: Use SQL and Tableau to tackle real-world business challenges

4.8

862 reviews on

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1,328 students already enrolled

Skill level:

Intermediate

Duration:

4 hours

Lessons (4 hours)

Practice exams (20 minutes)

Projects (8 hours)

CPE credits:

6.5

CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited

certificate

What you learn

Improve your SQL and Tableau skills by working with real business data.
Interpret sign-up flow data to improve lead acquisition strategies.
Create professional, well-formatted charts and dashboards in Tableau.
Identify challenges, analyse trends, and propose data-driven solutions.
Validate analysis findings through robust A/B testing procedures.

Topics & tools

Data AnalysisData VisualizationHypothesis TestingA/B testingTableau StoryBusiness ObjectiveSign-Up Form OptimizationSign-Up Page RedesignSQLConversion Rates OptimizationUser Registration ProcessBusiness Decision-MakingDashboard ReportingBusiness SkillsTableauSql

Your instructor

Ivan Manov

AI & Data Science Course Creator | Sound Engineer

Track record

Bringing real-world expertise from leading global companies

Academic background

Master's degree, Sound Engineering

Media and recognition

Author of Speech Recognition with Python on 365DS & Udemy
Speaker at Power Platform Bootcamp 2025 on Audio AI
Sound Engineer for TV/Film incl. The Bachelor & award-winners

Ask Ivan a question

Course overview

Accredited certificates

Course OVERVIEW

Description

CPE Credits: 6.5 Field of Study: Information Technology
Delivery Method: QAS Self Study

The sign-up flow optimization analysis course uncovers potential issues that websites may encounter with their registration process. You’ll put theory to practice in a use case employing actual data from 365's website visitors, examining their interactions with the current sign-up screen. Essentially, we aim to point out specific issues that require further investigation. To address these challenges, we employ powerful tools like SQL and Tableau and conduct an in-depth optimization analysis. By creating insightful visualizations, we reveal critical obstacles hindering the smooth sign-up flow and identify actionable solutions. After organizing those observations into a customized analysis report, we validate the findings by implementing robust A/B testing. Еquipped with data-driven insights, we then make informed decisions on whether specific recommendations should be employed to enhance user experience. Are you looking to improve your website’s performance and conversion rates? Join the thousands of professionals who have taken 365’s program and are now using their new skills to advance their careers. Sign up now and master the art of optimization analysis.

Prerequisites

Any SQL environment (such as SQLite, MySQL Workbench, or an online SQL editor).
Tableau Desktop or Tableau Public
Python (version 3.8 or later), pandas library, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code)

Advanced preparation

Curriculum

43 lessons 40 exercises 1 project 2 exams

1. Intro to Sign-Up Flow Optimization Analysis

10 min

Get a grasp on the importance of sign-up flow optimization analysis that this course tackles and understand our inspiration for examining and sharing 365’s data.

10 min

Get a grasp on the importance of sign-up flow optimization analysis that this course tackles and understand our inspiration for examining and sharing 365’s data.

What Does the Course Cover? Free

Motivation Free
2. Case Study

24 min

Uncover the theoretical framework guiding our ongoing research and learn the core principles of a streamlined website registration process. We define the key aspects in a sign-up flow optimization analysis with SQL and Tableau and draw a rough sketch of the dashboard we’ll be making.

24 min

Uncover the theoretical framework guiding our ongoing research and learn the core principles of a streamlined website registration process. We define the key aspects in a sign-up flow optimization analysis with SQL and Tableau and draw a rough sketch of the dashboard we’ll be making.

Understanding the 365's Sign-Up Process Free

Basic Terminology

Exercise

Defining the Key Aspects of the Sign-Up Process

Exercise

Sketching the Story

Practice exam
3. SQL: Data Retrieving

41 min

Learn how to use MySQL Workbench to collect and extract the necessary data for creating visualizations. You have the opportunity to build the relevant MySQL queries from scratch.

41 min

Learn how to use MySQL Workbench to collect and extract the necessary data for creating visualizations. You have the opportunity to build the relevant MySQL queries from scratch.

Types of Data Access

Getting to know the Database

Exercise

SQL Query 1: Sign-Up Conversion Rate

Note

Exercise

SQL Query 2: Sign-Up Types and Errors - Part 1

SQL Query 2: Sign-Up Types and Errors - Part 2

Exercise

SQL Query 3: Login Types and Errors - Homework
4. Tableau: Dashboard Sheets

42 min

This section of the sign-up flow optimization analysis course demonstrates how to import the data we’ve collected with MySQL into Tableau. You acquire the skills necessary to build essential visualizations that represent the issues 365’s visitors encounter during their sign-up and login processes. You use filters, parameters, and sheet swapping to enhance bar and line charts and display informative statistics.

42 min

This section of the sign-up flow optimization analysis course demonstrates how to import the data we’ve collected with MySQL into Tableau. You acquire the skills necessary to build essential visualizations that represent the issues 365’s visitors encounter during their sign-up and login processes. You use filters, parameters, and sheet swapping to enhance bar and line charts and display informative statistics.

SQL and Tableau

Exercise

Sign-Up Conversion Rate

Device and Operating System Distribution

Preferred Devices Horizontal Bar Chart

Exercise

Preferred Operating Systems Horizontal Bar Chart

Sign-Up Types and Errors Bar Charts

Exercise

Login Types and Errors Bar Charts
5. Creating the Tableau Story

34 min

In this part of the sign-up flow optimization analysis course, you build a Tableau story leveraging the visualizations we’ve made. We will organize and format the story as an interactive tool for interpreting and exploring the data effectively.

34 min

In this part of the sign-up flow optimization analysis course, you build a Tableau story leveraging the visualizations we’ve made. We will organize and format the story as an interactive tool for interpreting and exploring the data effectively.

Creating Dashboards: Getting Familiar with the Canvas

Sign-Up Conversion Rates: Sheet Swapping with Parameters

Exercise

Sign-Up Conversion Rates: Containers

Preferred Sign-up Devices and Operating Systems

Sign-Up Types and Errors

Exercise

Login Types and Errors

Formatting the Tableau Story - Part 1

Formatting the Tableau Story - Part 2

Exercise
6. Analysis Report

63 min

Based on the gathered information, you conduct a comprehensive data analysis with the help of the Tableau story. You also learn how to perform a sign-up flow optimization analysis and construct a hypothesis about possible improvements. And you formulate business objectives and opportunity sizing and search for ways to achieve the goals with appropriate actionable solutions. Lastly, we organize our observations and findings into a customized template for presenting to an audience

63 min

Based on the gathered information, you conduct a comprehensive data analysis with the help of the Tableau story. You also learn how to perform a sign-up flow optimization analysis and construct a hypothesis about possible improvements. And you formulate business objectives and opportunity sizing and search for ways to achieve the goals with appropriate actionable solutions. Lastly, we organize our observations and findings into a customized template for presenting to an audience

Dashboard Application for an Analysis Report

Current State of Affairs: Observing Story Point 1 - Conversion Rate

Current State of Affairs: Observing Story Point 2 - Sign-Up Types and Preferences

Exercise

Current State of Affairs: Observing Story Point 2 - Sign-Up Types Success and Fail Rates

Current State of Affairs: Observing Story Point 3 - Login Types

Business Objective

Exercise

Hypothesis and Opportunity Sizing - Part 1

Hypothesis and Opportunity Sizing - Part 2

Actionable Insights Based on the Analysis

Exercise
7. A/B Testing

32 min

Gain a fundamental understanding of statistics and apply the experimental approach known as A/B testing. We use this method to test our hypothesis on the website sign-up flow optimization and learn how to make data-driven decisions.

32 min

Gain a fundamental understanding of statistics and apply the experimental approach known as A/B testing. We use this method to test our hypothesis on the website sign-up flow optimization and learn how to make data-driven decisions.

Understanding the Fundamentals of A/B Testing

Setting Up an A/B Test: Confidence, Significance, and p-values

Exercise

Setting Up an A/B Test: Minimum Detectable Effect and Statistical Power

Running an A/B Test: Execution and Analysing the Results

Exercise
8. Discussion and Further Analysis of a Website Sign-Up Flow

8 min

The section summarizes the obtained knowledge and discusses potential webpage improvements. Additionally, you can explore best practices for optimizing sign-up flow and other possible actions that aren’t central to the current study but could be tackled in future projects of a similar nature.

8 min

The section summarizes the obtained knowledge and discusses potential webpage improvements. Additionally, you can explore best practices for optimizing sign-up flow and other possible actions that aren’t central to the current study but could be tackled in future projects of a similar nature.

Discussion on the Observations

Conclusions and Recommendations
9. Course project and exam

540 min

540 min

Checkout Flow Optimization Analysis with SQL and Tableau Project

Course exam

Free lessons

1.1 What Does the Course Cover?

5 min

1.2 Motivation

5 min

2.1 Understanding the 365's Sign-Up Process

6 min

2.2 Basic Terminology

7 min

2.4 Defining the Key Aspects of the Sign-Up Process

6 min

2.6 Sketching the Story

5 min

Start for free

The courses at 365 Data Science are engaging, well-structured, and strike the right balance between theory and application. The end-of-course exams stand out—they’re challenging enough to ensure you’ve truly mastered the material, making the certification well-earned. For me, it was also a great refresher that helped solidify my past knowledge. If you want a comprehensive, hands-on platform that truly tests and strengthens your skills, I highly recommend 365 Data Science.

Mario O.

Before 365: Data Scientist | InSites Consulting

After 365: ML/Data Science Engineer | NEWTON

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96%

of our students recommend

365 Data Science.

365 Data Science was my first step into data science. Their courses in Tableau, Power BI, and Excel gave me confidence, but it was the quality of projects and mentorship that made the biggest difference. Every lesson added perspective, and I became more confident in coding and problem-solving. The platform’s structure made it perfect for beginners. Today, I apply what I learned every day as an ML engineer—thanks to 365’s meaningful, real-world content.

Yuvraj S. D.

Before 365: Student Research Assistant

After 365: Machine Learning Engineer | PERFACCT GmbH

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94%

of AI and data science graduates

successfully change

or advance their careers.

365 Data Science has been an invaluable resource for refreshing my skills and expanding my expertise. The well-structured courses in Python, Machine Learning, and SQL helped me brush up on fundamentals while learning advanced ETL and data visualization techniques. This hands-on approach has directly benefited my work—improving pipelines and creating more insightful analyses. For busy professionals, 365 offers a solid foundation and a practical refresher to stay ahead in the evolving world of data analytics.