Online Course
SQL + Tableau

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

4.8

862 reviews on
9,480 students already 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 PreprocessingSql

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
  • 1. Combining SQL with Tableau: Introduction
    15 min
    In the introductory part of the course, we will talk about the lessons you will see next and discuss why a data scientist would want to be able to connect tools like SQL and Tableau. We will show you how to do the integration with Tableau Desktop, and we will provide you with a workaround in case you use Tableau Public.
    15 min
    In the introductory part of the course, we will talk about the lessons you will see next and discuss why a data scientist would want to be able to connect tools like SQL and Tableau. We will show you how to do the integration with Tableau Desktop, and we will provide you with a workaround in case you use Tableau Public.
    Introduction to software integration Free
    Combining SQL and Tableau Free
    Installing Tableau Public Free
    Loading the Database Free
  • 2. Problem 1
    26 min
    In this section, we will continue to use the ‘employees’ database we worked with in a large part of our SQL training. By connecting Tableau and SQL, you will be able to visualize several trends related to the company’s gender gap situation.
    26 min
    In this section, we will continue to use the ‘employees’ database we worked with in a large part of our SQL training. By connecting Tableau and SQL, you will be able to visualize several trends related to the company’s gender gap situation.
    Problem 1: Task Free
    Task 1 - Text Free
    Important clarification Free
    Problem 1: Solution in SQL Free
    Exporting your output from SQL and loading it in Tableau Free
    Chart 1: Visualizing the Solution in Tableau - Part I Free
    Chart 1: Visualizing the Solution in Tableau - Part II Free
    Coding exercise Free
    Practice exam Free
  • 3. Problem 2
    15 min
    Here, we will continue to explore the ‘employees_mod’ database and will run a sophisticated SQL query to answer the remaining questions in our task. The topic under investigation continues to be ‘gender gap’ policies.
    15 min
    Here, we will continue to explore the ‘employees_mod’ database and will run a sophisticated SQL query to answer the remaining questions in our task. The topic under investigation continues to be ‘gender gap’ policies.
    Problem 2: Task
    Task 2 - Text
    Problem 2: Solution in SQL
    Chart 2: Visualizing the Solution in Tableau
    Coding exercise
    Practice exam
  • 4. Problem 3
    11 min
    Much like in Problem 2, here, in Problem 3, we will use SQL to extract a particular part of the 'employees_mod' database to respond to another business question related to exploring different statistics for the women and men in the company.
    11 min
    Much like in Problem 2, here, in Problem 3, we will use SQL to extract a particular part of the 'employees_mod' database to respond to another business question related to exploring different statistics for the women and men in the company.
    Problem 3: Task
    Task 3 - Text
    Problem 3: Solution in SQL
    Chart 3: Visualizing the Solution in Tableau
    Coding exercise
  • 5. Problem 4
    10 min
    Problem 4 is an exercise that builds on your entire knowledge of SQL and Tableau. It takes you through solving a more challenging business task, using a more sophisticated SQL Code, and creating a different type of visualization in Tableau.
    10 min
    Problem 4 is an exercise that builds on your entire knowledge of SQL and Tableau. It takes you through solving a more challenging business task, using a more sophisticated SQL Code, and creating a different type of visualization in Tableau.
    Problem 4: Task
    Task 4 - Text
    Problem 4: Solution in SQL
    Chart 4: Visualizing the Solution in Tableau
    Career Track Analysis with SQL and Tableau Project Free
  • 6. Problem 5
    6 min
    In this short section, we will show you how to gather your data in a well-organized dashboard and will show you how to add an interactive filter which makes analysis much quicker and intuitive.
    6 min
    In this short section, we will show you how to gather your data in a well-organized dashboard and will show you how to add an interactive filter which makes analysis much quicker and intuitive.
    Problem 5: Organizing Charts 1-4 into a Beautiful Dashboard
  • 7. Course exam
    45 min
    45 min
    Course exam

Free lessons

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

Start for free

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.