Master SQL For Data Science

Master SQL For Data Science, available at $149.99, has an average rating of 4.65, with 53 lectures, based on 13750 reviews, and has 58004 subscribers.

You will learn about Write complex SQL statements to query the database and gain critical insight on data Practice Every Step of the Way by Working Through 100+ Puzzles (with solutions) Transition from the Very Basics to a Point Where You can Effortlessly Work with Large SQL Queries Learn Advanced Querying Techniques Become a Master SQL Developer This course is ideal for individuals who are Anyone who wants to break into the data analyst or data scientist role or Anyone interested in become a SQL query wizard It is particularly useful for Anyone who wants to break into the data analyst or data scientist role or Anyone interested in become a SQL query wizard.

Enroll now: Master SQL For Data Science

Summary

Title: Master SQL For Data Science

Price: $149.99

Average Rating: 4.65

Number of Lectures: 53

Number of Published Lectures: 52

Number of Curriculum Items: 53

Number of Published Curriculum Objects: 52

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Write complex SQL statements to query the database and gain critical insight on data
Practice Every Step of the Way by Working Through 100+ Puzzles (with solutions)
Transition from the Very Basics to a Point Where You can Effortlessly Work with Large SQL Queries
Learn Advanced Querying Techniques
Become a Master SQL Developer

Who Should Attend

Anyone who wants to break into the data analyst or data scientist role
Anyone interested in become a SQL query wizard

Target Audiences

Anyone who wants to break into the data analyst or data scientist role
Anyone interested in become a SQL query wizard

LAST UPDATED: November 2023

This course will turn you into a SQL query wizard. You’ll learn the skills you need to extract critical insight from data sitting in a database. There are over 100 puzzlesscattered throughout the course with in-depth solutions providing plenty of opportunity for you to practice. After completing the course and all of it’s assignments, I promise you, you’ll never be afraid to look at a large SQL query again.

Just like my other courses, I follow the no-student-left behind principle; which means that I start from the very basics. You do not need any prerequisites to take this course. We move step by step into more advanced topics as we delve into the world of advanced querying techniques using subqueries, aggregations, joins, rollups and cubes, window functions, transposing & ranking data and using conditional expressions in very interesting ways.

With over 17,000 students and a 4.6 rating, you won’t find a better source to learn SQL for Data Science elsewhere.

Don’t just take it from me, take it from other students that have taken this course.

★★★★★ Here’s reviews from real students that took this course ★★★★★

★★★★★ You really can’t beat this course for the value. The instructor is excellent (clear explanations, easy to understand, extremely knowledgeable), and his style of constantly requiring the student to apply what they’ve just learned with practice queries proves to be a very effective method of learning. He covers an amazing amount of ground in just 9 hours. It was just the refresher course I needed after not having done much SQL in the past year.

★★★★★ Just one word – Exceptional!! Don’t give a second thought, just go for it. Thanks a lot Mr.Imtiaz Ahmad. The way concepts are explained in the lectures are quite good. The assignments gave me so much confidence and I feel so happy that I am quite well versed in SQL now. Watch the videos, try out the assignments on your own and practice as much as you can with different problems.

★★★★★ It’s a brilliant course that can help to understand SQL from easy concepts to difficult tasks. Besides, the explanations are always clear, so they let me learn a lot without searching for additional information in Internet. The course contains lots of practical tasks that allowed me not only to understand queries, but to also use them correctly.

★★★★★ Great! I really like the exercises that are included. They are essential to learning the course content.

★★★★★ After attending the course and doing most of the exercises, I feel very confident in SQL world. The course is designed well and every lesson gives you good amount of knowledge. Explanation and exercises are worth learning and practicing.

Topics covered in this course:

What is a Database
Installing Postgres
Creating Tables
SELECT Statement
WHERE Clause
AND & OR
Filtering Operators
ORDER BY
LIMIT
DISTINCT
Renaming Columns
Functions
GROUP BY & HAVING Clauses
Aggregation Queries
Subqueries
CASE Clause
Correlated Subqueries
Table Joins
INNER and OUTER Joins
UNION, UNION ALL and EXCEPT Clauses
Window Functions for Analytics
+ over 100 puzzles distributed throughout the course

Enroll today to become a Master SQL Data Science Developer. As always, I offer a 30 day money back guarantee if you’re not satisfied, but you won’t need it.

Course Curriculum

Chapter 1: Database Basics

Lecture 1: Course Overview

Lecture 2: What is a Database

Lecture 3: How to Proceed in this Course

Lecture 4: Dedicated TA Support

Lecture 5: Join our Online Community (Discord)

Lecture 6: Install Postgres Database on Mac

Lecture 7: Troubleshoot Connection

Lecture 8: Install Postgres on Windows

Lecture 9: Create Table and Insert Statements

Lecture 10: Data file that will be used in the course (IMPORTANT)

Lecture 11: Prepare the Database

Lecture 12: Assignment 1: Create More Tables and Populate Data

Chapter 2: SQL Query Basics

Lecture 1: Introducing the SELECT Statement

Lecture 2: Filter Data Using the WHERE Clause + AND & OR

Lecture 3: Filtering Operators – IN, NOT IN, IS NULL, BETWEEN

Lecture 4: [EXERCISES]: WHERE Clause and Operators

Lecture 5: ORDER BY, LIMIT, DISTINCT and Renaming Columns

Lecture 6: Assignment 2: Practice Writing Basic Queries (5 Problems)

Chapter 3: Using Functions

Lecture 1: UPPER(), LOWER(), LENGTH(), TRIM() + Boolean Expressions & Concatenation

Lecture 2: Career Advice

Lecture 3: String Functions: SUBSTRING(), REPLACE(), POSITION() and COALESCE()

Lecture 4: Grouping Functions: MIN(), MAX(), AVG(), SUM(), COUNT()

Lecture 5: Assignment 3: Practice with Functions, Conditional Expressions and Concatenation

Chapter 4: Grouping Data and Computing Aggregates

Lecture 1: Understanding Grouping

Lecture 2: GROUP BY & HAVING Clauses

Lecture 3: [EXERCISES]: Using GROUP BY and HAVING Clauses

Lecture 4: Assignment 4: Practice Aggregation Queries

Chapter 5: Using Subqueries

Lecture 1: Aliasing Sources of Data

Lecture 2: Introducing Subqueries

Lecture 3: Subqueries Continued + [EXERCISES]

Lecture 4: Subqueries with ANY and ALL Operators + [EXERCISES]

Lecture 5: [EXERCISES]: More Practice with Subqueries

Lecture 6: Assignment 5: Practice with Subqueries

Chapter 6: Using the CASE Clause in Interesting Ways

Lecture 1: Conditional Expressions Using CASE Clause + [EXERCISES]

Lecture 2: Transposing Data using the CASE Clause + [EXERCISES]

Lecture 3: Assignment 6: Practice Using Case and Transposing Data

Chapter 7: Advanced Query Techniques using Correlated Subqueries

Lecture 1: Understanding Correlated Subqueries

Lecture 2: [EXERCISES]: Correlated Subqueries Continued

Chapter 8: Working with Multiple Tables

Lecture 1: Introducing Table Joins

Lecture 2: INNER and OUTER Joins + [EXERCISES]

Lecture 3: Using UNION, UNION ALL and EXCEPT Clauses + [EXERCISES]

Lecture 4: Cartesian Product with the CROSS JOIN

Lecture 5: [EXERCISES]: Joins and Subqueries Continued

Lecture 6: Creating Views vs. Inline Views

Lecture 7: Assignment 7: ADVANCED Problems using Joins, Grouping and Subqueries

Chapter 9: Window Functions for Analytics

Lecture 1: Window Functions using the OVER() Clause

Lecture 2: Ordering Data in Window Frames

Lecture 3: RANK, FIRST_VALUE and NTILE Functions

Lecture 4: Working with LEAD and LAG Functions

Lecture 5: Working with Rollups and Cubes

Chapter 10: Difficult Query Challenges

Lecture 1: Challenging Puzzles For the Brave

Chapter 11: Course Extras!

Lecture 1: Bonus Lecture

Instructors

Job Ready Programmer
Senior Software Engineers and Trainers

Rating Distribution

1 stars: 42 votes
2 stars: 117 votes
3 stars: 905 votes
4 stars: 4559 votes
5 stars: 8127 votes

Frequently Asked Questions

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