Online Course top-rated
Growth Analysis with SQL, Python, and Tableau

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

4.9

808 reviews on
1264 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:

Advanced

Duration:

4 hours
  • Lessons (7 hours)

CPE credits:

5.5
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, Python, and Tableau proficiency using real business data.
  • Interpret subscription and transaction data to find growth insights.
  • Create professional, multi-page Tableau dashboards with clean formatting.
  • Use data to spot challenges, analyze trends, and propose improvements.
  • Create a portfolio‑ready project with sophisticated Tableau visualizations.

Topics & tools

tableau dashboardmysql querykey performance indicatorsfunnelcombo chartline chartdata analysisstacked bar chartbar chartwaterfall chartgrowth metricshover tooltipdata visualizationdashboard reportingdata preprocessingtableauSQLpython

Your instructor

Course OVERVIEW

Description

CPE Credits: 5.5 Field of Study: Information Technology
Delivery Method: QAS Self Study
Every company aims to maximize its market presence. Consequently, growth metrics become a primary focus for analysis and monitoring month over month. In this course, we’ll develop a dashboard for tracking growth data. Utilizing SQL and Python, we'll extract relevant data from 365's database and import it into Tableau to create a professional, multi-page dashboard. Finally, we'll explore insights and findings from the visualizations.

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)

Curriculum

55 lessons 1 exam

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

Introduction to the Project

2.1 Introduction to the Project

3 min

Term Definitions - Visitors, UTMs, Channel of Acquisition

2.2 Term Definitions - Visitors, UTMs, Channel of Acquisition

9 min

Term Definitions - User Types and Funnels

2.3 Term Definitions - User Types and Funnels

5 min

Key Questions and Metrics

2.4 Key Questions and Metrics

5 min

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96%

of our students recommend

365 Data Science.

4.9

Based on 808 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

9 in 10

of our graduates landed a new AI & data job

after enrollment

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

Certificates are included with the Self-Study learning plan.

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.