Master SQL For Data Science
What you’ll 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
Requirements
No prerequisites needed for this course
Description
LAST UPDATED: November 2022This 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 puzzles scattered 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 DatabaseInstalling PostgresCreating TablesSELECT StatementWHERE ClauseAND & ORFiltering OperatorsORDER BYLIMITDISTINCTRenaming ColumnsFunctionsGROUP BY & HAVING ClausesAggregation QueriesSubqueriesCASE ClauseCorrelated SubqueriesTable JoinsINNER and OUTER JoinsUNION, UNION ALL and EXCEPT ClausesWindow Functions for Analytics+ over 100 puzzles distributed throughout the courseEnroll 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.
Overview
Lecture 1 Course Overview
Section 1: Database Basics
Lecture 2 What is a Database
Lecture 3 How to Proceed in this Course
Lecture 4 Dedicated TA Support
Lecture 5 Install Postgres Database on Mac
Lecture 6 Troubleshoot Connection
Lecture 7 Install Postgres on Windows
Lecture 8 Create Table and Insert Statements
Lecture 9 Data file that will be used in the course (IMPORTANT)
Lecture 10 Prepare the Database
Lecture 11 Assignment 1: Create More Tables and Populate Data
Section 2: SQL Query Basics
Lecture 12 Introducing the SELECT Statement
Lecture 13 Filter Data Using the WHERE Clause + AND & OR
Lecture 14 Filtering Operators – IN, NOT IN, IS NULL, BETWEEN
Lecture 15 [EXERCISES]: WHERE Clause and Operators
Lecture 16 ORDER BY, LIMIT, DISTINCT and Renaming Columns
Lecture 17 Assignment 2: Practice Writing Basic Queries (5 Problems)
Section 3: Using Functions
Lecture 18 UPPER(), LOWER(), LENGTH(), TRIM() + Boolean Expressions & Concatenation
Lecture 19 Career Advice
Lecture 20 String Functions: SUBSTRING(), REPLACE(), POSITION() and COALESCE()
Lecture 21 Grouping Functions: MIN(), MAX(), AVG(), SUM(), COUNT()
Lecture 22 Assignment 3: Practice with Functions, Conditional Expressions and Concatenation
Section 4: Grouping Data and Computing Aggregates
Lecture 23 Understanding Grouping
Lecture 24 GROUP BY & HAVING Clauses
Lecture 25 [EXERCISES]: Using GROUP BY and HAVING Clauses
Lecture 26 Assignment 4: Practice Aggregation Queries
Section 5: Using Subqueries
Lecture 27 Aliasing Sources of Data
Lecture 28 Introducing Subqueries
Lecture 29 Subqueries Continued + [EXERCISES]
Lecture 30 Subqueries with ANY and ALL Operators + [EXERCISES]
Lecture 31 [EXERCISES]: More Practice with Subqueries
Lecture 32 Assignment 5: Practice with Subqueries
Section 6: Using the CASE Clause in Interesting Ways
Lecture 33 Conditional Expressions Using CASE Clause + [EXERCISES]
Lecture 34 Transposing Data using the CASE Clause + [EXERCISES]
Lecture 35 Assignment 6: Practice Using Case and Transposing Data
Section 7: Advanced Query Techniques using Correlated Subqueries
Lecture 36 Understanding Correlated Subqueries
Lecture 37 [EXERCISES]: Correlated Subqueries Continued
Section 8: Working with Multiple Tables
Lecture 38 Introducing Table Joins
Lecture 39 INNER and OUTER Joins + [EXERCISES]
Lecture 40 Using UNION, UNION ALL and EXCEPT Clauses + [EXERCISES]
Lecture 41 Cartesian Product with the CROSS JOIN
Lecture 42 [EXERCISES]: Joins and Subqueries Continued
Lecture 43 Creating Views vs. Inline Views
Lecture 44 Assignment 7: ADVANCED Problems using Joins, Grouping and Subqueries
Section 9: Window Functions for Analytics
Lecture 45 Window Functions using the OVER() Clause
Lecture 46 Ordering Data in Window Frames
Lecture 47 RANK, FIRST_VALUE and NTILE Functions
Lecture 48 Working with LEAD and LAG Functions
Lecture 49 Working with Rollups and Cubes
Section 10: Difficult Query Challenges
Lecture 50 Challenging Puzzles For the Brave
Lecture 51 Get Access to All of my current and future courses!
Anyone who wants to break into the data analyst or data scientist role,Anyone interested in become a SQL query wizard
Course Information:
Udemy | English | 9h 24m | 4.12 GB
Created by: Imtiaz Ahmad
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