SQL HackerRank Challenge: Get Gold star & 670 points

SQL HackerRank Challenge: Get Gold star & 670 points, available at $69.99, has an average rating of 4.9, with 167 lectures, 56 quizzes, based on 78 reviews, and has 11885 subscribers.

You will learn about Get silver and gold rank with 600+ points Solve 30+ questions of HackerRank SQL section How to write SELECT queries to fetch relevant data in PostgreSQL and MySQL How to filter and sort the data using WHEN, logical operators and ORDER BY How to group and aggregate data in PostgreSQL and MySQL How to apply joins and combining queries in PostgreSQL and MySQL String, mathematical, date-time functions and pattern matching in PostgreSQL and MySQL Understanding of VIEWS and INDEXES in PostgreSQL and MySQL How to write subqueries in PostgreSQL and MySQL This course is ideal for individuals who are Working Professionals beginning their Data journey or Anyone curious to learn and compare both PostgreSQL and MySQL or Students about to join their first corporate job It is particularly useful for Working Professionals beginning their Data journey or Anyone curious to learn and compare both PostgreSQL and MySQL or Students about to join their first corporate job.

Enroll now: SQL HackerRank Challenge: Get Gold star & 670 points

Summary

Title: SQL HackerRank Challenge: Get Gold star & 670 points

Price: $69.99

Average Rating: 4.9

Number of Lectures: 167

Number of Quizzes: 56

Number of Published Lectures: 165

Number of Published Quizzes: 55

Number of Curriculum Items: 223

Number of Published Curriculum Objects: 220

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Get silver and gold rank with 600+ points
Solve 30+ questions of HackerRank SQL section
How to write SELECT queries to fetch relevant data in PostgreSQL and MySQL
How to filter and sort the data using WHEN, logical operators and ORDER BY
How to group and aggregate data in PostgreSQL and MySQL
How to apply joins and combining queries in PostgreSQL and MySQL
String, mathematical, date-time functions and pattern matching in PostgreSQL and MySQL
Understanding of VIEWS and INDEXES in PostgreSQL and MySQL
How to write subqueries in PostgreSQL and MySQL

Who Should Attend

Working Professionals beginning their Data journey
Anyone curious to learn and compare both PostgreSQL and MySQL
Students about to join their first corporate job

Target Audiences

Working Professionals beginning their Data journey
Anyone curious to learn and compare both PostgreSQL and MySQL
Students about to join their first corporate job

6 Reasons why you should choose this SQL course

Solve complete 20 questions of ‘Weather Observation Station’ case study of HackerRank
Other HackerRank SQL case studies we will be solving
1. The Pads
2. Binary Tree Nodes
3. New Companies
4. The Report
5. Top Companies
6. Ollivander’s Inventory Challenges
7. Contest Leaderboard
8. Placements
9. Symmetric Pairs
10. SQL Project Planning
Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses
Comprehensive – covers basic and advanced SQL statements in both, PostgreSQL and MySQL
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 and 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, Pukhraj and Nadeem. 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.

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.

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?

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’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.

Companies that use MySQL:Uber, Airbnb, Netflix, Udemy, Pinterest etc.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Course Resources

Lecture 1: Course Resources

Lecture 2: This is a milestone!

Chapter 3: HackerRank – Weather Observation Station 20 questions

Lecture 1: Weather Observation Station 1 – 15 points – EASY level

Lecture 2: Weather Observation Station 2 – 15 points – EASY level

Lecture 3: Weather Observation Station 3 – 10 points – EASY level

Lecture 4: Weather Observation Station 4 – 10 points – EASY level

Lecture 5: Weather Observation Station 5 – 30 points – EASY level

Lecture 6: Weather Observation Station 6 – 10 points – EASY level

Lecture 7: Weather Observation Station 7 – 10 points – EASY level

Lecture 8: Weather Observation Station 8 – 15 points – EASY level

Lecture 9: Weather Observation Station 9 – 10 points – EASY level

Lecture 10: Weather Observation Station 10 – 10 points – EASY level

Lecture 11: Weather Observation Station 11 – 15 points – EASY level

Lecture 12: Weather Observation Station 12 – 15 points – EASY level

Lecture 13: Weather Observation Station 13 – 10 points – EASY level

Lecture 14: Weather Observation Station 14 – 10 points – EASY level

Lecture 15: Weather Observation Station 15 – 15 points – EASY level

Lecture 16: Weather Observation Station 16 – 10 points – EASY level

Lecture 17: Weather Observation Station 17 – 15 points – EASY level

Lecture 18: Weather Observation Station 18 – 25 points – MEDIUM level

Lecture 19: Weather Observation Station 19 – 30 points – MEDIUM level

Lecture 20: Weather Observation Station 20 – 40 points – MEDIUM level

Chapter 4: HackerRank – Medium & Hard questions

Lecture 1: The Pads – 30 points – MEDIUM level

Lecture 2: Binary Tree Nodes – 30 points – MEDIUM level

Lecture 3: New Companies – 30 points – MEDIUM level

Lecture 4: The Report – 20 points – MEDIUM level

Lecture 5: Top Companiess – 30 points – MEDIUM level

Lecture 6: Ollivander's Inventory – 30 points – MEDIUM level

Lecture 7: Challenges – 30 points – MEDIUM level

Lecture 8: Contest Leaderboard – 30 points – MEDIUM level

Lecture 9: Placements – 40 points – MEDIUM level

Lecture 10: Symmetric Pairs – 40 points – MEDIUM level

Lecture 11: SQL Project Planning – 40 points – MEDIUM level

Chapter 5: Setting up PostgreSQL and PGAdmin

Lecture 1: Installing PostgreSQL and pgAdmin in your PC

Lecture 2: If pgAdmin is not opening…

Chapter 6: Installing MySQL

Lecture 1: Installing and Setting up MySQL

Chapter 7: Fundamental SQL statements

Lecture 1: CREATE in PostgreSQL

Lecture 2: CREATE in MySQL

Lecture 3: Exercise 1: Create DB and Table

Lecture 4: Solutions to all Exercises

Lecture 5: INSERT in PostgreSQL

Lecture 6: INSERT in MySQL

Lecture 7: Import data from File in PostgreSQL

Lecture 8: Import data from File in MySQL

Lecture 9: Exercise 2: Inserting and Importing data

Lecture 10: SELECT statement in PostgreSQL

Lecture 11: SELECT statement in MySQL

Lecture 12: SELECT DISTINCT in PostgreSQL

Lecture 13: SELECT DISTINCT in MySQL

Lecture 14: WHERE in PostgreSQL

Lecture 15: WHERE in MySQL

Lecture 16: Logical Operators in PostgreSQL

Lecture 17: Logical Operators in MySQL

Lecture 18: Exercise 3: SELECT, WHERE & Logical

Lecture 19: UPDATE in PostgreSQL

Lecture 20: UPDATE in MySQL

Lecture 21: DELETE in PostgreSQL

Lecture 22: DELETE in MySQL

Lecture 23: ALTER Part 1 in PostgreSQL

Lecture 24: ALTER Part 2 in PostgreSQL

Lecture 25: ALTER in MySQL

Lecture 26: Exercise 4: Update, Delete and Alter Table

Chapter 8: Restore and Back-up in PostgreSQL

Lecture 1: Restore and Back-up

Lecture 2: Debugging restoration issues

Lecture 3: Creating DB using CSV files

Lecture 4: Debugging summary and Code for CSV files

Lecture 5: Exercise 5: Restore and Back-up

Chapter 9: Restore and Back-up in MySQL

Lecture 1: Restoring and Back-up in MySQL

Lecture 2: Restore and Back-up in MySQL

Chapter 10: Selection commands: Filtering

Lecture 1: IN in PostgreSQL

Lecture 2: IN in MySQL

Lecture 3: BETWEEN in PostgreSQL

Lecture 4: BETWEEN in MySQL

Lecture 5: LIKE in PostgreSQL

Lecture 6: LIKE in MySQL

Lecture 7: Exercise 6: In, Like & Between

Chapter 11: Selection commands: Ordering

Instructors

Start-Tech Trainings
Analytics and ML academy
Start-Tech Academy
5,000,000+ Enrollments | 4.5 Rated | 160+ Countries

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 7 votes
4 stars: 27 votes
5 stars: 43 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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