SQL Masterclass: SQL for Data Analytics

SQL course covering basic to advanced SQL topics for SQL Database (PostgreSQL). Beginner friendly SQL training

4.59 (10851 reviews)
Udemy
platform
English
language
Data & Analytics
category
405,166
students
9.5 hours
content
Nov 2022
last update
$29.99
regular price

What you will 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

Description

[November 2022 update]

  • Added a new section on Window functions such as RANK, NTILE, SUM TOTAL etc.

  • Added a new video on COALESCE function

  • Added new performance tuning tips at the end of the course

  • Added more videos on interview-related theoretical topics at the end of the course

6 Reasons why you should choose this SQL course

  1. Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses

  2. Comprehensive - covers basics, advanced SQL statements, PostgreSQL, mySQL, interview tips and performance tuning tips as well

  3. Business related examples and case studies based on SQL techniques, PostgreSQL, mySQL, data analysis techniques

  4. Ample practice exercises because, like any other data analysis tools, SQL requires practice

  5. Downloadable resources covering important topics on SQL

  6. Your queries on SQL and anything covered in the Masterclass will be responded by the Instructor himself

A 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! - Sikiru

Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. - Armand

Our Promise

Teaching 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 Assignments

With 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!

Cheers

Start-Tech Academy


FAQ's

Why learn SQL?

  1. 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.


  1. 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.


  1. SQL is one of the most sought-after skills by hiring employers.


  1. You can earn good money

How 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?

  1. Start learning from the basics of SQL. The first 10 sections of the course cover the basics.

  2. Once done with the basic try your hands on advanced SQL. Next 10 sections cover Advanced topics

  3. Next few sections will cover help you with interviews and Vivas.

  4. 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:

  1. Know (Study)

  2. Do (Practice)

  3. Review (Self feedback)

Know

We have created a set of concise and comprehensive videos to teach you all the SQL related skills you will need in your professional career.

Do

We 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.

Review

Check 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 Lectures

Apart 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.

Content

Introduction

Course Overview

Installation and getting started

Installation

Case Study : Demo

Course Resources
Case Study Part 1
Case Study Part 2

Fundamental SQL statements

CREATE
Exercise 1: Create DB and Table
Solutions to all Exercises
INSERT
Import data from File
Exercise 2: Inserting and Importing
SELECT statement
SELECT DISTINCT
WHERE
Logical Operators
Exercise 3: SELECT & WHERE
UPDATE
DELETE
ALTER
Exercise 4: Updating Table
Fundamental SQL statements

Restore and Back-up

Restore and Back-up
CSV files
Exercise 5: Restore and Back-up

Selection commands: Filtering

IN
BETWEEN
LIKE
Exercise 6: In, Like & Between

Selection commands: Ordering

Side Lecture: Commenting in SQL
ORDER BY
LIMIT
Exercise 7: Sorting

Alias

AS

Aggregate Commands

COUNT
SUM
AVERAGE
MIN & MAX
Exercise 8: Aggregate functions
Quiz

Group By Commands

GROUP BY
HAVING
Exercise 9: Group By
Quiz 2

Conditional Statement

CASE WHEN

JOINS

Introduction to Joins
Inner Join
Left Join
Right Join
Full Outer Join
Cross Join
Except
Union
Exercise 10: Joins
Joins

Subqueries

Subqueries
Exercise 11: Subqueries

Views and Indexes

VIEWS
INDEX
Exercise 12: Views

String Functions

LENGTH
UPPER LOWER
REPLACE
TRIM, LTRIM, RTRIM
CONCATENATION
SUBSTRING
LIST AGGREGATION
Exercise 13: String Functions

Mathematical Functions

CEIL & FLOOR
RANDOM
SETSEED
ROUND
POWER
Exercise 14: Mathematical Functions

Date-Time Functions

CURRENT DATE & TIME
AGE
EXTRACT
Exercise 15: Date-time functions

PATTERN (STRING) MATCHING

PATTERN MATCHING BASICS
ADVANCE PATTERN MATCHING (REGULAR EXPRESSIONS)
Exercise 16: Pattern Matching

Data Type conversion functions

Converting Numbers/ Date to String
Converting String to Numbers/ Date

User Access Control Functions

User Access Control

Bonus Section: Nail that Interview!

Tablespace
PRIMARY KEY & FOREIGN KEY
ACID compliance
Truncate
Practice Test 1

Performance tuning tips

TIP 1 (EXPLAIN)
TIP 2
TIP 3
TIP 4 (VACCUM)
TIP 5
TIP 6 (STRING FUNCTIONS)
TIP 7 (JOINS)
TIP 8 (SCHEMAS)

Practice Problems

Bonus Section : Database Basics

What is SQL
Tables and DBMS
Types of SQL commands
PostgreSQL
Bonus Lecture: Join our Job portal
Bonus Lecture

Screenshots

SQL Masterclass: SQL for Data Analytics - Screenshot_01SQL Masterclass: SQL for Data Analytics - Screenshot_02SQL Masterclass: SQL for Data Analytics - Screenshot_03SQL Masterclass: SQL for Data Analytics - Screenshot_04

Reviews

Paulo
November 5, 2022
I used this course as a refresh of what I have seen on school a few years ago. In my opinion this video is perfect for me as well as for people who are new to the topic.
Geetha
November 2, 2022
It helps to have more exercises and quizzes to practice and test what we learn for each section and know what topics we need to reread.
Dhruval
October 28, 2022
Great Course for beginners! Instructions are very clear and straight forward and instructor is too good.
Afifah
October 17, 2022
Thank you for the great course. I absolutely have 0 background in data analysis. This course is beginner friendly and very easy to understand
Emmanuele
October 14, 2022
This course is a little disjoint and some lessons suffer from poor audio. Otherwise it is a great course, which i highly recommend. Indeed if you bear with the tutor, you will learn tons. Well done and well deserved 5 stars!
Monica
October 5, 2022
i think it is very good but i need the answers of exercises to make sure of my answers and finally thanks alot about this great course
Manish
September 15, 2022
It was a great experience as a beginner for database management and data analytics and learned all the things needed overall great response form me.
José
September 13, 2022
Me hubiera gustado que los ejercicios fueran más profundos, tomando casos reales y creación de Querys más detallados.
Bassey
September 12, 2022
Because the instructor is taking his time to present the course in a fine way. Everything he’d said so far is very straight to the point.
Francisco
September 8, 2022
When I started this course, I had a basic-intermediate knowledge of SQL and I consider that, without a doubt, it helped me to strengthen my knowledge even more, taking me to a strong intermediate level. The English is super understandable and the way of explaining is very clear, I recommend it without any doubt.
Jeffrey
July 29, 2022
I'd echo the comments of other reviewers by saying that this isn't a "masterclass" - the topics are fairly basic. I'd also add that despite this being a course for Data Analytics, there's zero analysis. There's several questions from students asking why they should pick one query over another and they're just given a technical, textbook-like answer. However, people want to understand why they'd use a given query in a practical, real-world way. The somewhat academic/technical nature of the responses aren't helpful. I didn't really understand the point of the "Nail that interview" section. It seemed targeted at DBAs (Database analysts), which is odd because the rest of the course is focused on Data/Business Analysts. It seemed like it was added as an afterthought to pad the content out. I wasn't able to get the files to work in section 5. It's kinda farsical to expect someone to download a bunch of stuff on their computer without any clear instruction in the videos. The help section just wasn't helpful.
Viashima
July 24, 2022
So far so good, it has been great. the concepts and queries and broken down and well explained. The sequence of the course content is also amazing
Joseph
July 20, 2022
I am starting off on SQL with this course. I am entirelly new to the concepts and hope to appreciate the contents with time
Charles
July 17, 2022
This is an excellect course about SQL, very well explained and high quality resourses to support the content.
Aditya
June 20, 2022
I like the way the start-tech academy has designed this course. this is very easy to understand even with non tech background people. every statements with their syntax, example and then showing on pg admin that was making more interested to learn. thankyou keep updating with further more courses

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2120874
udemy ID
1/2/2019
course created date
4/27/2019
course indexed date
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course submited by