21.11.2024
Sign-Up Flow Optimization Analysis with SQL and Tableau
with
Ivan Manov
Gain first-hand data analyst experience: Use SQL and Tableau to tackle real-world business challenges
4 hours of content
990 students
Start for free
What you get:
- 4 hours of content
- 41 Interactive exercises
- 26 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
Sign-Up Flow Optimization Analysis with SQL and Tableau
A course by
Ivan Manov
Start for free
What you get:
- 4 hours of content
- 41 Interactive exercises
- 26 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
Start for free
What you get:
- 4 hours of content
- 41 Interactive exercises
- 26 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
What You Learn
- Improve your SQL and Tableau proficiency by tackling complex real-world business datasets
- Interpret data from an online platform’s registration process to uncover actionable insights that can improve lead acquisition
- Create professional and well-formatted Tableau charts
- Develop sharp business acumen by using data to identify business challenges, analyse trends, and propose improvements
- Take advantage of an excellent opportunity to add a unique project to your portfolio
- Implement robust A/B testing to validate the findings of your data analysis
Top Choice of Leading Companies Worldwide
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
Course Description
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.
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1.1 What Does the Course Cover?
1.2 Motivation
2.1 Understanding the 365's Sign-Up Process
2.2 Basic Terminology
2.4 Defining the Key Aspects of the Sign-Up Process
2.6 Sketching the Story
Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
Topics
Course Requirements
- Highly recommended to take the SQL and Intro to Tableau courses first
- You will need to install MySQL Workbench
- You will need to install Tableau Public
Who Should Take This Course?
Level of difficulty: Intermediate
- Aspiring data analysts
- Current data analysts who want to improve their technical skills and business acumen
Exams and Certification
A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.
Meet Your Instructor
Ivan has a background in systems and sound engineering, along with information technologies and communications. In addition, he has professional experience in the media production industry and telecommunications. Ivan believes the value of data is growing every day, and it will soon be the biggest commodity in the world. He describes himself as “forward-looking and visionary”. Besides data analysis, data collection, and Python programming, he is passionate about artificial intelligence, signal processing, sound design, acoustics, and music. He sees these subjects as interconnected, and his work goal is to keep the balance between science and arts.
What Our Learners Say
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