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Putting SQL to Work: The TechMart Challenge
Coursera MOOC / Non-credit 0

Putting SQL to Work: The TechMart Challenge

About this course

In this course you'll work with TechMart's real-world dataset to apply advanced SQL techniques and extract meaningful business insights that drive decision-making. The course begins with industry expert perspectives on data science practices before guiding you through a structured analytical framework that transforms business questions into powerful SQL solutions. Throughout this hands-on experience, you'll clean messy retail data, craft complex queries using window functions and CTEs, optimize query performance, and leverage AI-assisted tools to enhance your workflow. The culminating deliverable—a professional data analysis report—will showcase your ability to navigate the complete analytics lifecycle from initial data exploration to presenting actionable recommendations. Upon completion, you'll be able to: • Transform complex business questions into effective SQL queries that extract actionable insights from retail data • Apply advanced SQL techniques including window functions, CTEs, and optimization strategies to real-world analytical challenges • Develop a comprehensive data analysis report that effectively communicates findings to technical and business stakeholders • Create a professional portfolio piece demonstrating your SQL mastery and analytical problem-solving capabilities

C

63/100

CourseAsk score

What the provider tells you
39/45
Who stands behind it
8/35
How complete the listing is
16/20

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What you'll learn

  • Transform complex business questions into effective SQL queries
  • Apply advanced SQL techniques including window functions and CTEs
  • Develop a comprehensive data analysis report

Course objectives

  • Enhance your workflow with AI-assisted tools
  • Navigate the complete analytics lifecycle from exploration to presentation
Data Analysis #ai tools #business intelligence #data reporting #data analysis #data cleaning #sql #query optimization #business insights #retail data #window functions #cte #analytics lifecycle
$49.00

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