Online Course top-rated free
Customer Engagement Analysis with SQL and Tableau

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

4.9

808 reviews on
1949 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Intermediate

Duration:

5 hours
  • Lessons (4 hours)
  • Practice exams (1.25 hours)
  • Projects (10 hours)

CPE credits:

7.5
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

  • Extract user behavior data from 365’s database using SQL queries.
  • Feed that engagement data into Tableau to build multi-page dashboards.
  • Interpret engagement patterns to uncover actionable improvement areas.
  • Create polished, structured dashboards that highlight business insights.
  • Showcase your skills with a unique SQL and Tableau project.

Topics & tools

retention curvestacked bar charttableau dashboardcohort analysis tablemysql querykey performance indicatorscombo chartline chartcustomer engagementhover tooltipfunneldata analysisbar chartdata visualizationdashboard reportingtableauSQL

Your instructor

Course OVERVIEW

Description

CPE Credits: 7.5 Field of Study: Information Technology
Delivery Method: QAS Self Study
Conducting a customer engagement analysis and ensuring that users experience the best of the product or service is of utmost importance for every company. In this Customer Engagement Analysis course, we’ll use SQL to extract user behavior information from 365’s database, then feed it into Tableau to create a multi-page customer engagement dashboard. Finally, we’ll discuss our findings and pinpoint areas for potential improvement.

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

65 lessons 33 exercises 1 project 3 exams

Free preview

What Does the Course Cover?

1.1 What Does the Course Cover?

4 min

Motivation - Our Story

1.2 Motivation - Our Story

5 min

The Case Study

2.1 The Case Study

5 min

Defining the Key Questions (Part 1)

2.3 Defining the Key Questions (Part 1)

7 min

Defining the Key Questions (Part 2)

2.5 Defining the Key Questions (Part 2)

6 min

Sketching the Dashboard (Part 1)

2.7 Sketching the Dashboard (Part 1)

4 min

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94%

of AI and data science graduates

successfully change

or advance their careers.

9 in 10

people walk away career-ready

with practical data and AI skills.

$29,000

average salary increase

after moving to an AI and data science career

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners
A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.