SQL Crash Course for Aspiring Data Scientist

Learn SQL and Data Science FAST with hands on labs!
Rating: 4.1 out of 5 (51 ratings)
5,174 students
SQL Crash Course for Aspiring Data Scientist
Rating: 4.1 out of 5 (51 ratings)
5,178 students
You will learn the basic SQL Statements necessary to pull data from a database.
You will learn how to read database documentation.
You will learn how to access data without the help of IT.
You will learn how SQL can be used with Python, and Apache Spark to perform common data science task.

Requirements

  • You will need to be able to install software on your machine.
  • This course requires a copy of PostgreSQL.
  • This course requires a copy of the Anaconda distribution of Python.
  • This course requires a free account with Databricks.

Description

The problem with online learning and self-guided learning, especially in programming, is that you are often not certain exactly where to get started on your journey. But you do know that having to run to the IT department whenever you need data pulled, or need a dataset to be created, can sometimes leave you stranded.

SQL, as an easy programming language designed for interacting with relational databases, is your starting point when it comes to anything data related. The user base of SQL is so deep that many big data technologies utilize some kind of port of SQL.

The problem with other SQL for data science classes is that, by only covering SQL itself, they leave you hanging on your journey to data science mastery, much like when you have to rely on IT to meet your data needs.

With Mass Street University, that journey does not end with bare bones knowledge of SQL. DSCI100: SQL Crash Course for Data Science is designed to quickly get you up to speed on the basics of using SQL. But this course does more than give you the SQL foundation you need to work with data.

In DSCI100, we extend your journey by teaching you some real data science. By demonstrating how Python and Apache Spark interact with SQL in hands-on labs, we teach you how SQL is actually used in a data science workflow once you have mastered the basics.

At the end of the course, you will be able to work with relational databases to pull the necessary data you need to perform complex analyses…without the assistance of IT. You will also have a good understanding of how to use SQL with common data science languages.

No other course will grant you the tools and fuel that allow you to take control of your journey. Enroll today for a real, self-sufficient path to data science excellence.

Who this course is for:

  • Anybody wanting to enter the data science career field.
  • Scientist and academics that do not normally interact with databases.
  • Practicing data scientist that do not normally interact with databases.

Course content

7 sections • 20 lectures • 1h 24m total length
  • Instructor Introduction
    03:53
  • Why You Should Take This Course
    03:44
  • Course Overview
    06:38
  • How To Get Help With This Course
    02:34
  • Getting The Course Material
    02:05

Instructor

Data Management Expert
Bob Wakefield
  • 4.2 Instructor Rating
  • 76 Reviews
  • 6,812 Students
  • 3 Courses

Bob Wakefield has over 18 years of experience building data systems for numerous organizations across various industries. On many occasions, he has applied his formidable knowledge to radically advance an organization's analytic and data management capabilities. Because Bob prefers to stay on the bleeding edge of technology, he is able to provide his clients state-of- the-art data solutions. While Bob’s expertise lies in data architecture and engineering, he masterfully provides a full range of analytic solutions covering the entire data pipeline. 

Bob is a graduate of Kansas State University, Kansas University, and Rockhurst University. He holds a Bachelors in Business Administration with a focus on Management Information Systems, an MBA with a corporate finance concentration, and a graduate certificate in Data Science. Bob is a proud veteran of the United States Air Force. 

In his spare time, Bob enjoys cycling and retro gaming. When he’s not doing that, he can often be found flying his A-10 Warthog simulator.

Bob is a private pilot and commercial unmanned aerial systems pilot. He has over 100 hours in the following aircraft: Schweizer 2-33, Schweizer 1-26, Cessna 150, Cessna 152, Cessna 172, Cessna 175, Cessna 182RG, Pitts S-2C, Extra 300.