Online Course
SQL + Tableau

Visualize your SQL data in Tableau. Combining SQL and Tableau to unlock powerful data insights

4.9

808 reviews on
9152 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 (1 hour)
  • Practice exams (30 minutes)
  • Projects (3 hours)

CPE credits:

2
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 skills through hands‑on exercises.
  • Gain real‑world experience using Tableau for data visualization.
  • Work seamlessly with SQL and Tableau together.
  • Enhance your resume with two key data analytics tools.
  • Build polished Tableau dashboards that address key business questions.

Topics & tools

data analysisSQLdata visualizationtableautheorydashboard reportingdata preprocessing

Your instructor

Course OVERVIEW

Description

CPE Credits: 2 Field of Study: Information Technology
Delivery Method: QAS Self Study
This course will give you methods of using SQL and Tableau simultaneously, helping you find hidden value in your data faster than when using them separately.

Prerequisites

  • Any SQL environment (such as SQLite, MySQL Workbench, or an online SQL editor).
  • Tableau Desktop or Tableau Public
  • Completion of an introductory SQL course is recommended. Completion of an introductory Tableau course is recommended.

Advanced preparation

Curriculum

24 lessons 3 exercises 1 project 3 exams

Free preview

Introduction to software integration

1.1 Introduction to software integration

5 min

Combining SQL and Tableau

1.2 Combining SQL and Tableau

5 min

Installing Tableau Public

1.3 Installing Tableau Public

2 min

Loading the Database

1.4 Loading the Database

3 min

Problem 1: Task

2.1 Problem 1: Task

4 min

Task 1 - Text

2.2 Task 1 - Text

1 min

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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.