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IBM via edX

SQL for Data Science

4.388 ratings at edX

Overview

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.

What you'll learn

  • Explain fundamentals of databases and relational database management systems (RDBMS)
  • Execute basic SQL queries using SELECT, INSERT, UPDATE, and DELETE
  • Use string patterns and ranges to query and filter data
  • Sort and group data in result sets and use built-in database functions
  • Query multiple tables and compose nested SELECT statements and sub-queries
  • Analyze data in a database using Python and Jupyter Notebooks

Skills you'll practise

Relational DatabasesSQL (Programming Language)Data ScienceJupyterData TypesMachine LearningPython (Programming Language)

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • From IBM, a well-regarded name.
  • 134,363 learners have taken it, so help and notes are easy to find.
  • Self-paced: start any time.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $99). Audit access may end after the course closes.

Taught by

  • Rav AhujaGlobal Program Director

IBM is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (84/100).

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