SQL Masterclass SQL for Data Analytics

SQL course covering basic to advanced SQL topics for SQL Database (PostgreSQL). Beginner friendly SQL training
SQL Masterclass SQL for Data Analytics
File Size :
3.36 GB
Total length :
9h 37m



Start-Tech Academy


Last update




SQL Masterclass SQL for Data Analytics

What you’ll learn

Knowledge of all the essential SQL commands
Become proficient in SQL tools like GROUP BY, JOINS and Subqueries
Become competent in using sorting and filtering commands in SQL
Master SQL’s most popular string, mathematical and date-time functions
Enhance the performance of your Database by using Views and Indexes
Increase your efficiency by learning the best practices while writing SQL queries
Relevant theoretical concepts also covered so that you excel in BI Job interviews and Vivas
Solid understanding of SQL

SQL Masterclass SQL for Data Analytics


Just a PC with any web browser


[May 2023 update]Added a new section on Window functions such as RANK, NTILE, SUM TOTAL etc.Added a new video on COALESCE functionAdded new performance tuning tips at the end of the courseAdded more videos on interview-related theoretical topics at the end of the course6 Reasons why you should choose this SQL courseCarefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businessesComprehensive – covers basics, advanced SQL statements, PostgreSQL, mySQL, interview tips and performance tuning tips as wellBusiness related examples and case studies based on SQL techniques, PostgreSQL, mySQL, data analysis techniquesAmple practice exercises because, like any other data analysis tools, SQL requires practiceDownloadable resources covering important topics on SQLYour queries on SQL and anything covered in the Masterclass will be responded by the Instructor himselfA Verifiable Certificate of Completion is presented to all students who undertake this SQL course.Why should you choose this course?This is a complete tutorial on SQL which can be completed within a weekend. SQL is the most sought after skill for Data analysis roles in all the companies. PostgreSQL, mySQL are highly desired skills for database management and data analysis roles. So whether you want to start a career as a data scientist or just grow you data analysis skills, this course will cover everything you need to know to do that.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Science and Machine Learning for over a decade. They have an in-depth knowledge in advanced SQL, PostgreSQL, mySQL, database management, and various data analysis tools available in the market.We are also the creators of some of the most popular online courses – with over 150,000 enrollments and thousands of 5-star reviews like these ones:I had an awesome moment taking this course. It broaden my knowledge more on the power use of SQL as an analytical tools. Kudos to the instructor! – SikiruVery insightful, learning very nifty tricks and enough detail to make it stick in your mind. – ArmandOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there is a practice sheet attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. Solution to Assignment is also shared so that you can review your performance.By the end of this course, your confidence in using SQL will soar. You’ll have a thorough understanding of how to use SQL for Data analytics as a career opportunity.Go ahead and click the enroll button, and I’ll see you in lesson 1!CheersStart-Tech AcademyFAQ’sWhy learn SQL?SQL is the most universal and commonly used database language. It powers the most commonly used database engines like PostgreSQL, SQL Server, SQLite, and MySQL. Simply put, If you want to access databases then yes, you need to know SQL.It is not really difficult to learn SQL. SQL is not a programming language, it’s a query language. The primary objective where SQL was created was to give the possibility to common people to get interesting data from the database. It is also an English-like language so anyone who can use English at a basic level can write SQL queries easily.SQL is one of the most sought-after skills by hiring employers.You can earn good moneyHow much time does it take to learn SQL?SQL is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn SQL quickly starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to learn SQL quickly.What are the steps I should follow to learn SQL?Start learning from the basics of SQL. The first 10 sections of the course cover the basics.Once done with the basic try your hands on advanced SQL. Next 10 sections cover Advanced topicsNext few sections will cover help you with interviews and Vivas.Practice your learning on the exercise provided in every section.What’s the difference between SQL and PostgreSQL?SQL is a language. Specifically, the “Structured Query Language”PostgreSQL is one of several database systems, or RDMS (Relational Database Management System). PostgresSQL is one of several RDMS’s, others of which are Oracle, Informix, MySQL, and MSQL.All of these RDMSs use SQL as their language. Each of them have minor variations in the “dialect” of SQL that they use, but it’s all still SQL.Which is better, PostgreSQL or MySQL?Both are excellent products with unique strengths, and the choice is often a matter of personal preference.PostgreSQL offers overall features for traditional database applications, while MySQL focuses on faster performance for Web-based applications.Open source development will bring more features to subsequent releases of both databases.Who uses these databases?Here are a few examples of companies that use PostgreSQL: Apple, BioPharm, Etsy, IMDB, Macworld, Debian, Fujitsu, Red Hat, Sun Microsystem, Cisco, Skype.What’s special about this course?The course is created on the basis of three pillars of learning:Know (Study)Do (Practice)Review (Self feedback)KnowWe have created a set of concise and comprehensive videos to teach you all the SQL related skills you will need in your professional career.DoWe also provide Exercises to complement the learning from the lecture video. These exercises are carefully designed to further clarify the concepts and help you with implementing the concepts on practical problems faced on-the-job.ReviewCheck if you have learnt the concepts by executing your code and analyzing the result set. Ask questions in the discussion board if you face any difficulty.Bonus LecturesApart from this, their is a bonus section which covers important topics from the view of job interviews and Vivas.The Authors of this course have several years of corporate experience and hence have curated the course material keeping in mind the requirement of SQL in today’s corporate world.


Section 1: Introduction

Lecture 1 Introduction

Section 2: Installation and getting started

Lecture 2 Installing PostgreSQL and pgAdmin in your PC

Lecture 3 This is a milestone!

Lecture 4 If pgAdmin is not opening…

Lecture 5 Course Resources

Section 3: Case Study : Demo

Lecture 6 Case Study Part 1 – Business problems

Lecture 7 Case Study Part 2 – How SQL is Used

Section 4: Fundamental SQL statements

Lecture 8 CREATE

Lecture 9 Exercise 1: Create DB and Table

Lecture 10 Solutions to all Exercises

Lecture 11 INSERT

Lecture 12 Import data from File

Lecture 13 Exercise 2: Inserting and Importing

Lecture 14 SELECT statement


Lecture 16 WHERE

Lecture 17 Logical Operators

Lecture 18 Exercise 3: SELECT & WHERE

Lecture 19 UPDATE

Lecture 20 DELETE

Lecture 21 ALTER

Lecture 22 Exercise 4: Updating Table

Section 5: Restore and Back-up

Lecture 23 Restore and Back-up

Lecture 24 Debugging restoration issues

Lecture 25 Creating DB using CSV files

Lecture 26 Debugging summary and Code for CSV files

Lecture 27 Exercise 5: Restore and Back-up

Section 6: Selection commands: Filtering

Lecture 28 IN

Lecture 29 BETWEEN

Lecture 30 LIKE

Lecture 31 Exercise 6: In, Like & Between

Section 7: Selection commands: Ordering

Lecture 32 Side Lecture: Commenting in SQL

Lecture 33 ORDER BY

Lecture 34 LIMIT

Lecture 35 Exercise 7: Sorting

Section 8: Alias

Lecture 36 AS

Section 9: Aggregate Commands

Lecture 37 COUNT

Lecture 38 SUM

Lecture 39 AVERAGE

Lecture 40 MIN & MAX

Lecture 41 Exercise 8: Aggregate functions

Section 10: Group By Commands

Lecture 42 GROUP BY

Lecture 43 HAVING

Lecture 44 Exercise 9: Group By

Section 11: Conditional Statement

Lecture 45 CASE WHEN

Section 12: JOINS

Lecture 46 Introduction to Joins

Lecture 47 Concepts of Joining and Combining Data

Lecture 48 Preparing the data

Lecture 49 Inner Join

Lecture 50 Left Join

Lecture 51 Right Join

Lecture 52 Full Outer Join

Lecture 53 Cross Join

Lecture 54 Intersect and Intersect ALL

Lecture 55 Except

Lecture 56 Union

Lecture 57 Exercise 10: Joins

Section 13: Subqueries

Lecture 58 Subqueries

Lecture 59 Exercise 11: Subqueries

Section 14: Views and Indexes

Lecture 60 VIEWS

Lecture 61 INDEX

Lecture 62 Exercise 12: Views

Section 15: String Functions

Lecture 63 LENGTH

Lecture 64 UPPER LOWER

Lecture 65 REPLACE



Lecture 68 SUBSTRING


Lecture 70 Exercise 13: String Functions

Section 16: Mathematical Functions

Lecture 71 CEIL & FLOOR

Lecture 72 RANDOM

Lecture 73 SETSEED

Lecture 74 ROUND

Lecture 75 POWER

Lecture 76 Exercise 14: Mathematical Functions

Section 17: Date-Time Functions


Lecture 78 AGE

Lecture 79 EXTRACT

Lecture 80 Exercise 15: Date-time functions




Lecture 83 Exercise 16: Pattern Matching

Section 19: Window Functions

Lecture 84 Introduction to Window functions

Lecture 85 Introduction to Row number

Lecture 86 Implementing Row number in SQL

Lecture 87 RANK and DENSERANK

Lecture 88 NTILE function

Lecture 89 AVERAGE function

Lecture 90 COUNT

Lecture 91 SUM TOTAL


Lecture 93 LAG and LEAD

Section 20: COALESCE function

Lecture 94 COALESCE function

Section 21: Data Type conversion functions

Lecture 95 Converting Numbers/ Date to String

Lecture 96 Converting String to Numbers/ Date

Section 22: User Access Control Functions

Lecture 97 User Access Control

Section 23: Nail that Interview!

Lecture 98 Showcasing SQL Skills with HackerRank Stars

Lecture 99 Tablespace


Lecture 101 ACID compliance

Lecture 102 Truncate

Section 24: Performance tuning tips

Lecture 103 TIP 1 (EXPLAIN)

Lecture 104 TIP 2

Lecture 105 TIP 3

Lecture 106 TIP 4 (VACCUM)

Lecture 107 TIP 5


Lecture 109 TIP 7 (JOINS)

Lecture 110 TIP 8 (SCHEMAS)

Section 25: Final Section : Database Basics

Lecture 111 What is SQL?

Lecture 112 Tables and DBMS

Lecture 113 Types of SQL commands

Lecture 114 PostgreSQL

Lecture 115 The final milestone!

Lecture 116 Bonus Lecture

Working Professionals beginning their Data journey,Anyone curious to master SQL from beginner to Advanced in short span of time,Students about to join their first corporate job

Course Information:

Udemy | English | 9h 37m | 3.36 GB
Created by: Start-Tech Academy

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