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SQL for Data Analysis

Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate, and join data and data tables. Understand when and how to use subqueries, several window functions, and partitions to complete complex tasks. Clean data, optimize SQL queries and write select advanced JOINs to enhance analysis performance.

  • Course
  • 4.7 (513)
  • Updated: Jun 4, 2026
Free Course

SQL for Data Analysis

Prerequisites

0 prerequisites

You will need to be able to communicate fluently and professionally in written and spoken English.

Course Outline

  • 10 lessons

Program Instructors

1 instructor

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Derek Steer

CEO, Superframe

Derek Steer

CEO, Superframe

Reviews

Average Rating: 4.7 (513 Reviews)

A complete and comprehensive intro to ML

Iraklis K

Mar 8, 2026

The course is "ML with Pytorch" implying there would be algorithms implementing in supervised and unsupervised ML models as well a neural network using Pytorch, which could be interesting.. But it just rehashes material using scikit-learn from other nanodegrees. And even the course on neural networks is material all cribbed from the "AI programming with Python" nanodegree. Just a way to recombine existing material to sell another product.

Karen F

Jan 12, 2026

everything were explained very well

abdulrahman a.

Jul 19, 2022

Decent.

Omer A.

Apr 27, 2022

Good , yes Definitely but would need more time to understand the concepts in details. Because we are learning a lot of concepts

Narendhra Kumar M.

Mar 11, 2022

Free Course

SQL for Data Analysis

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