SQL HackerRank Challenge: Get Gold star & 670 points

Destiny For Everything


Be taught full MySQL & PostgreSQL. Remedy HackerRank issues to get Gold star and 670 factors in SQL HackerRank

What you’ll be taught

Get silver and gold rank with 600+ factors

Remedy 30+ questions of HackerRank SQL part

Tips on how to write SELECT queries to fetch related knowledge in PostgreSQL and MySQL

Tips on how to filter and type the info utilizing WHEN, logical operators and ORDER BY

Tips on how to group and combination knowledge in PostgreSQL and MySQL

Tips on how to apply joins and mixing queries in PostgreSQL and MySQL

String, mathematical, date-time features and sample matching in PostgreSQL and MySQL

Understanding of VIEWS and INDEXES in PostgreSQL and MySQL

Tips on how to write subqueries in PostgreSQL and MySQL

Description

6 The explanation why it’s best to select this SQL course

  1. Remedy full 20 questions of ‘Climate Commentary Station’ case examine of HackerRank
  2. Different HackerRank SQL case research we will likely be fixing
    1. The Pads
    2. Binary Tree Nodes
    3. New Firms
    4. The Report
    5. High Firms
    6. Ollivander’s Stock Challenges
    7. Contest Leaderboard
    8. Placements
    9. Symmetric Pairs
    10. SQL Venture Planning
  3. Rigorously designed curriculum educating you every part in SQL that you will want for Information evaluation in companies
  4. Complete – covers primary and superior SQL statements in each, PostgreSQL and MySQL
  5. Downloadable sources overlaying vital matters on SQL
  6. Your queries on SQL and something coated within the Masterclass will likely be responded by the Teacher himself

A Verifiable Certificates of Completion is offered to all college students who undertake this SQL course.

Why do you have to select this course?

It is a full tutorial on SQL which may be accomplished inside a weekend. SQL is essentially the most wanted talent for Information evaluation roles in all the businesses. PostgreSQL and MySQL are extremely desired expertise for database administration and knowledge evaluation roles. So whether or not you wish to begin a profession as an information scientist or simply develop you knowledge evaluation expertise, this course will cowl every part it is advisable to know to try this.

What makes us certified to show you?

The course is taught by Abhishek, Pukhraj and Nadeem. Instructors of the course have been educating Information Science and Machine Studying for over a decade. They’ve an in-depth information in superior SQL, PostgreSQL, MySQL, database administration, and numerous knowledge evaluation instruments obtainable out there.

Our Promise

Instructing our college students is our job and we’re dedicated to it. You probably have any questions concerning the course content material, observe sheet or something associated to any matter, you’ll be able to at all times publish a query within the course or ship us a direct message.

By the tip of this course, your confidence in utilizing SQL will soar. You’ll have a radical understanding of the way to use SQL for Information analytics as a profession alternative.

Go forward and click on the enroll button, and I’ll see you in lesson 1!

Cheers

Begin-Tech Academy

FAQ’s

Why be taught SQL?

  1. SQL is essentially the most common and generally used database language. It powers essentially the most generally used database engines like PostgreSQL, SQL Server, SQLite, and MySQL. Merely put, If you wish to entry databases then sure, it is advisable to know SQL.
  2. It’s not actually tough to be taught SQL. SQL just isn’t a programming language, it’s a question language. The first goal the place SQL was created was to offer the likelihood to widespread individuals to get attention-grabbing knowledge from the database. It’s also an English-like language so anybody who can use English at a primary stage can write SQL queries simply.
  3. SQL is among the most sought-after expertise by hiring employers.
  4. You possibly can earn good cash

How a lot time does it take to be taught SQL?

SQL is simple however nobody can decide the educational time it takes. It completely is dependent upon you. The strategy we adopted that can assist you be taught SQL rapidly begins from the fundamentals and takes you to superior stage inside hours. You possibly can comply with the identical, however keep in mind you’ll be able to be taught nothing with out working towards it. Observe is the one strategy to be taught SQL rapidly.

What’s the distinction between SQL and PostgreSQL?

SQL is a language. Particularly, the “Structured Question Language”

PostgreSQL is one in every of a number of database programs, or RDMS (Relational Database Administration System). PostgresSQL is one in every of a number of RDMS’s, others of that are Oracle, Informix, MySQL, and MSQL.

All of those RDMSs use SQL as their language. Every of them have minor variations within the “dialect” of SQL that they use, however it’s all nonetheless SQL.

Which is best, PostgreSQL or MySQL?

Each are wonderful merchandise with distinctive strengths, and the selection is commonly a matter of non-public desire.

PostgreSQL presents total options for conventional database purposes, whereas MySQL focuses on sooner efficiency for Internet-based purposes.

Open supply growth will carry extra options to subsequent releases of each databases.

Who makes use of these databases?

Listed here are a couple of examples of firms that use PostgreSQL: Apple, BioPharm, Etsy, IMDB, Macworld, Debian, Fujitsu, Crimson Hat, Solar Microsystem, Cisco, Skype.

Firms that use MySQL: Uber, Airbnb, Netflix, Udemy, Pinterest and many others.

English
language

Content material

Introduction

Introduction

Course Assets

Course Assets
It is a milestone!

HackerRank – Climate Commentary Station 20 questions

Climate Commentary Station 1 – 15 factors – EASY stage
Climate Commentary Station 2 – 15 factors – EASY stage
Climate Commentary Station 3 – 10 factors – EASY stage
Climate Commentary Station 4 – 10 factors – EASY stage
Climate Commentary Station 5 – 30 factors – EASY stage
Climate Commentary Station 6 – 10 factors – EASY stage
Climate Commentary Station 7 – 10 factors – EASY stage
Climate Commentary Station 8 – 15 factors – EASY stage
Climate Commentary Station 9 – 10 factors – EASY stage
Climate Commentary Station 10 – 10 factors – EASY stage
Climate Commentary Station 11 – 15 factors – EASY stage
Climate Commentary Station 12 – 15 factors – EASY stage
Climate Commentary Station 13 – 10 factors – EASY stage
Climate Commentary Station 14 – 10 factors – EASY stage
Climate Commentary Station 15 – 15 factors – EASY stage
Climate Commentary Station 16 – 10 factors – EASY stage
Climate Commentary Station 17 – 15 factors – EASY stage
Climate Commentary Station 18 – 25 factors – MEDIUM stage
Climate Commentary Station 19 – 30 factors – MEDIUM stage
Climate Commentary Station 20 – 40 factors – MEDIUM stage

HackerRank – Medium & Exhausting questions

The Pads – 30 factors – MEDIUM stage
Binary Tree Nodes – 30 factors – MEDIUM stage
New Firms – 30 factors – MEDIUM stage
The Report – 20 factors – MEDIUM stage
High Companiess – 30 factors – MEDIUM stage
Ollivander’s Stock – 30 factors – MEDIUM stage
Challenges – 30 factors – MEDIUM stage
Contest Leaderboard – 30 factors – MEDIUM stage
Placements – 40 factors – MEDIUM stage
Symmetric Pairs – 40 factors – MEDIUM stage
SQL Venture Planning – 40 factors – MEDIUM stage

Organising PostgreSQL and PGAdmin

Putting in PostgreSQL and pgAdmin in your PC
If pgAdmin just isn’t opening…

Putting in MySQL

Putting in and Organising MySQL

Basic SQL statements

CREATE in PostgreSQL
CREATE in MySQL
INSERT in PostgreSQL
INSERT in MySQL
Import knowledge from File in PostgreSQL
Import knowledge from File in MySQL
SELECT assertion in PostgreSQL
SELECT assertion in MySQL
SELECT DISTINCT in PostgreSQL
SELECT DISTINCT in MySQL
WHERE in PostgreSQL
WHERE in MySQL
Logical Operators in PostgreSQL
Logical Operators in MySQL
UPDATE in PostgreSQL
UPDATE in MySQL
DELETE in PostgreSQL
DELETE in MySQL
ALTER Half 1 in PostgreSQL
ALTER Half 2 in PostgreSQL
ALTER in MySQL

Restore and Again-up in PostgreSQL

Restore and Again-up
Debugging restoration points
Creating DB utilizing CSV information
Debugging abstract and Code for CSV information

Restore and Again-up in MySQL

Restoring and Again-up in MySQL
Restore and Again-up in MySQL

Choice instructions: Filtering

IN in PostgreSQL
IN in MySQL
BETWEEN in PostgreSQL
BETWEEN in MySQL
LIKE in PostgreSQL
LIKE in MySQL

Choice instructions: Ordering

Aspect Lecture: Commenting in SQL
ORDER BY in PostgreSQL
ORDER BY in MySQL
LIMIT in PostgreSQL
LIMIT in MySQL

Aliases

AS in PostgreSQL
AS in MySQL

Combination Instructions

COUNT in PostgreSQL
COUNT in MySQL
SUM in PostgreSQL
SUM in MySQL
AVERAGE in PostgreSQL
AVERAGE in MySQL
MIN & MAX in PostgreSQL
MIN & MAX in MySQL

Group By Instructions

GROUP BY in PostgreSQL
GROUP BY in MySQL
HAVING in PostgreSQL
HAVING in MySQL

Conditional Assertion

CASE WHEN in PostgreSQL
CASE WHEN in MySQL

JOINS

Introduction to Joins
Ideas of Becoming a member of and Combining Information
Making ready the info
Interior Take part PostgreSQL
Interior Take part MySQL
Left Take part PostgreSQL
Left Take part MySQL
Proper Take part PostgreSQL
Proper Take part MySQL
Full Outer Take part PostgreSQL
Full Outer Take part MySQL
Cross Take part PostgreSQL
Cross Take part MySQL
Intersect and Intersect ALL in PostgreSQL
Intersect in MySQL
Besides in PostgreSQL
Besides in MySQL
Union in PostgreSQL
Union in MySQL

Subqueries

Subqueries: Subquery in WHERE clause in PostgreSQL
Subqueries: Subquery in FROM clause in PostgreSQL
Subqueries: Subquery in SELECT in PostgreSQL
Subqueries in MySQL

Views and Indexes

VIEWS in PostgreSQL
VIEWS in MySQL
INDEX in PostgreSQL
INDEX in MySQL

String Features

LENGTH in PostgreSQL
UPPER LOWER in PostgreSQL
REPLACE in PostgreSQL
TRIM, LTRIM, RTRIM in PostgreSQL
CONCATENATION in PostgreSQL
SUBSTRING in PostgreSQL
LIST AGGREGATION in PostgreSQL
String Features Half 1 in MySQL
String Features Half 2 in MySQL

Mathematical Features

CEIL & FLOOR in PostgreSQL
RANDOM in PostgreSQL
SETSEED in PostgreSQL
ROUND in PostgreSQL
POWER in PostgreSQL
Mathematical Features in MySQL

Date-Time Features

CURRENT DATE & TIME in PostgreSQL
AGE in PostgreSQL
EXTRACT in PostgreSQL
Date-Time Features in MySQL

Information kind Conversion

Information Kind conversion to string in PostgreSQL
Information Kind conversion to Quantity and Date in PostgreSQL
Information Kind conversion in MySQL

PATTERN (STRING) MATCHING

PATTERN MATCHING BASICS
Superior sample matching Half 1 (REGULAR EXPRESSIONS)
Superior sample matching Half 2 (REGULAR EXPRESSIONS)
Sample matching in MySQL

Congratulations

The ultimate milestone!
Bonus Lecture

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