Customer Engagement Analysis with SQL and Tableau

with Hristina Hristova

This Customer Engagement Analysis course defines the questions most relevant to customer engagement. You’ll analyze student engagement on the 365 learning platform, construct a comprehensive Tableau report, analyze the findings, and recommend ideas for improvements.

6 hours 49 lessons
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49 High Quality Lessons
23 Practical Tasks
6 Hours of Content
Certificate of Achievement

Course Overview

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.

Topics covered

Bar chartCohort analysis tableCombo ChartCustomer Engagementdata analysisFunnelHover TooltipKey Performance IndicatorsLine chartMySQL queryRetention CurveStacked Bar ChartTableau Dashboard

What You'll Learn

This Customer Engagement Analysis course is an exciting journey toward studying the level of student engagement on the 365 platform. You’ll gain valuable knowledge on analyzing customers’ behavior and uplevel your SQL and Tableau skills.

Data visualization
Tableau dashboard
MySQL queries
Gain insights from data
Propose strategies to improve business objectives


Student feedback


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Very practical and hands on. This course is really helpful for someone new to data science in guiding how to build a dashboard and the details and the KPI's to consider, and overall how to plan building a dashboard from scratch.
I simply loved it! Very well explained, practical and really useful.
This course had some great content. I truly enjoyed it.
great course and with great cases
Great content!
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Hristina Hristova

“A well-rounded data analyst needs to be equipped with multiple skills in their toolbelt—including a carefully planned project, extracting meaningful data, and visualizing it in the most intuitive way that promptly identifies potential problems. The level of execution of these steps and the actions taken could make the difference between a thriving business and an unavailing one.”

Hristina Hristova

Content Creator at 365 Data Science

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Customer Engagement Analysis with SQL and Tableau

with Hristina Hristova

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