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SQL Crash Course for Aspiring Data Scientist

IT & Software

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SQL Crash Course for Aspiring Data Scientist, available at Free, has an average rating of 4.25, with 20 lectures, based on 322 reviews, and has 13681 subscribers.

You will learn about 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. This course is ideal for individuals who are Anybody wanting to enter the data science career field. or Scientist and academics that do not normally interact with databases. or Practicing data scientist that do not normally interact with databases. It is particularly useful for Anybody wanting to enter the data science career field. or Scientist and academics that do not normally interact with databases. or Practicing data scientist that do not normally interact with databases.

Enroll now: SQL Crash Course for Aspiring Data Scientist

Summary

Title: SQL Crash Course for Aspiring Data Scientist

Price: Free

Average Rating: 4.25

Number of Lectures: 20

Number of Published Lectures: 20

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

  • 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.

Who Should Attend

  • 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.

Target Audiences

  • 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.

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.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Instructor Introduction

Lecture 2: Why You Should Take This Course

Lecture 3: Course Overview

Lecture 4: How To Get Help With This Course

Lecture 5: Getting The Course Material

Chapter 2: SQL Crash Course

Lecture 1: Basic SQL Concepts

Lecture 2: Basic SQL Statements

Chapter 3: Lab One – SQL Queries

Lecture 1: Lab Introduction

Lecture 2: PostgreSQL Installation and Orientation

Lecture 3: Data Retrieval

Lecture 4: Lab Review

Chapter 4: Lab Two – Views

Lecture 1: Lab Introduction

Lecture 2: Working With Views

Chapter 5: Lab Three – Databases With Python

Lecture 1: Lab Introduction

Lecture 2: Lab Three Prep

Lecture 3: Errata

Lecture 4: Accessing Databases With Python and SQL

Chapter 6: Lab Four – SparkSQL and PySpark and Databricks

Lecture 1: Lab Introduction

Lecture 2: Big Data Analysis With SparkSQL and PySpark

Chapter 7: Course Conclusion

Lecture 1: Course Conclusion

Instructors

Rating Distribution

  • 1 stars: 10 votes
  • 2 stars: 13 votes
  • 3 stars: 44 votes
  • 4 stars: 118 votes
  • 5 stars: 137 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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