SQL Masterclass: SQL for Data Analytics
SQL course covering basic to advanced SQL topics for SQL Database (PostgreSQL). Beginner friendly SQL training
Note: 4.6/5 (10,815 notes) 404,091 students
Instructor(s): Start-Tech Academy
Last update: 2022-11-15
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
- Just a PC with any web browser
[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
Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses
Comprehensive – covers basics, advanced SQL statements, PostgreSQL, mySQL, interview tips and performance tuning tips as well
Business related examples and case studies based on SQL techniques, PostgreSQL, mySQL, data analysis techniques
Ample practice exercises because, like any other data analysis tools, SQL requires practice
Downloadable resources covering important topics on SQL
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
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!
Why 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 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?
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 topics
Next 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:
Review (Self feedback)
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.
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.
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.
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.
Who this course is for
- 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
- Installation and getting started
- Installing PostgreSQL and pgAdmin in your PC
- This is a milestone!
- If pgAdmin is not opening…
- Course Resources
- Case Study : Demo
- Case Study Part 1 – Business problems
- Case Study Part 2 – How SQL is Used
- Fundamental SQL statements
- Exercise 1: Create DB and Table
- Solutions to all Exercises
- Import data from File
- Exercise 2: Inserting and Importing
- SELECT statement
- SELECT DISTINCT
- Logical Operators
- Exercise 3: SELECT & WHERE
- Exercise 4: Updating Table
- Fundamental SQL statements
- Restore and Back-up
- Restore and Back-up
- Debugging restoration issues
- Creating DB using CSV files
- Debugging summary and Code for CSV files
- Exercise 5: Restore and Back-up
- Selection commands: Filtering
- Exercise 6: In, Like & Between
- Selection commands: Ordering
- Side Lecture: Commenting in SQL
- ORDER BY
- Exercise 7: Sorting
- Aggregate Commands
- MIN & MAX
- Exercise 8: Aggregate functions
- Group By Commands
- GROUP BY
- Exercise 9: Group By
- Conditional Statement
- CASE WHEN
- Introduction to Joins
- Concepts of Joining and Combining Data
- Preparing the data
- Inner Join
- Left Join
- Right Join
- Full Outer Join
- Cross Join
- Intersect and Intersect ALL
- Exercise 10: Joins
- Exercise 11: Subqueries
- Views and Indexes
- Exercise 12: Views
- String Functions
- UPPER LOWER
- TRIM, LTRIM, RTRIM
- LIST AGGREGATION
- Exercise 13: String Functions
- Mathematical Functions
- CEIL & FLOOR
- Exercise 14: Mathematical Functions
- Date-Time Functions
- CURRENT DATE & TIME
- Exercise 15: Date-time functions
- PATTERN (STRING) MATCHING
- PATTERN MATCHING BASICS
- ADVANCE PATTERN MATCHING (REGULAR EXPRESSIONS)
- Exercise 16: Pattern Matching
- Window Functions
- Introduction to Window functions
- Introduction to Row number
- Implementing Row number in SQL
- RANK and DENSERANK
- NTILE function
- AVERAGE function
- SUM TOTAL
- RUNNING TOTAL
- LAG and LEAD
- COALESCE function
- COALESCE function
- Data Type conversion functions
- Converting Numbers/ Date to String
- Converting String to Numbers/ Date
- User Access Control Functions
- User Access Control
- Nail that Interview!
- PRIMARY KEY & FOREIGN KEY
- ACID compliance
- Practice Test 1
- SQL Quiz
- 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)
- Final Section : Database Basics
- What is SQL?
- Tables and DBMS
- Types of SQL commands
- The final milestone!
- Bonus Lecture
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