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DavidsonX: Introduction to SQL

4.8 stars
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In this introduction to SQL Online Course you will gain strong underdstanidng and utilize SQL to aggregate, manipulate, analyze, and visualize data in your field.

Introduction to SQL
4 weeks
3–5 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

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Starts Nov 29
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Introduction to SQL

About this course

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SQL (Structured Query Language) is the most commonly used language to communicate with databases and extract data for application development, reporting and analytics. It is ubiquitous for industries across the world and a vital skill for aspiring data professions to have. This course will introduce you to the SQL language and give you the skills you need to query and analyze data from complex relational databases. Join this course if you are seeking to learn data skills to advance in your current field or pivot to a different field where you will interact with data.

In this SQL tutorial you will learn how to interact with the SQL server with the proper syntax, begin to use SQL commands and SQL databases, perform SQL queries, work with data types and database tables, and use

At a glance

  • Language: English
  • Video Transcript: English
  • Associated skills: Google Sheets, Relational Databases, Application Development, Market Research, RStudio, Syntax, User Interface, Shiny (R Package), Data Analysis, R (Programming Language), Financial Analysis, Cascading Style Sheets (CSS), Research, SQL (Programming Language), Web Applications, Data Storage Technologies

What you'll learn

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  • How to use a relational database
  • How to query data and shape results
  • How to write advanced queries and analytic functions
  • How to create and modify data in tables

Syllabus

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SQL (Structured Query Language) is the most commonly used language to communicate with databases and extract data for application development, reporting, and analytics. It is ubiquitous for industries across the world and a vital skill for aspiring data professionals to have. This course will introduce you to the SQL language and give you the skills you need to query and analyze data from complex relational databases. Join this course if you are a student or professional hoping to learn data skills to advance in your current field or pivot to a different career that is more data focused. _ ****_

Week 1

  • Introduction and History of SQL
  • Installing PostgreSQL
  • Basic SQL
  • Comments & SQL Styles

Week 2

  • SQL Joins
  • Aggregations & Subqueries
  • Data Inspeciton and Converting Data
  • String Manipulation

Week 3

  • Analytic Functions
  • Variables and Temporary Sets
  • Recursive Operations Using CTEs
  • Pivoting Data

Week 4

  • Sample Database Installation
  • 3 Final Exercises
  • Putting It All Together!

Frequently Asked Questions

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I have never worked with SQL or any programming language before. Should I take a beginner course prior to starting Intro to SQL?

You've come to the right place. This course is built for beginners with no prior experience and serves as a refresher for those who have used SQL in the past.

What is the value of the verified track?

Beyond the certificate which you can post on LinkedIn and other social media channels to show off your accomplishment to others, you will also gain valuable supplementary matertials to dive deeper and take the next step beyond the audit track content to learn deeper within SQL.

This course is part of From Database to Dashboard using SQL and Power BI Professional Certificate Program

Learn more 
Expert instruction
2 skill-building courses
Self-paced
Progress at your own speed
2 months
7 - 13 hours per week

Ways to take this course

Choose your path when you enroll.

Verified Track

Audit Track

Price

$249 USD

Free

Access to course materials

Unlimited

Limited

Expires on Dec 27

World class institutions and universities

edX support

Shareable certificate upon completion

Graded assignments and exams

Read our FAQsin a new tab about frequently asked questions on these tracks.

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