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Master SQL Simple to advanced 200+ queries

  • Development
  • Apr 29, 2025
SynopsisMaster SQL – Simple to advanced 200+ queries, available...
Master SQL Simple to advanced 200+ queries  No.1

Master SQL – Simple to advanced 200+ queries, available at $54.99, has an average rating of 4.5, with 66 lectures, based on 2 reviews, and has 65 subscribers.

You will learn about Solve 200+ SQL hands-on practical query exercises Work with real-world, practical datasets and problems Step-by-step walkthrough to perform simple to complex SQL queries Learn simple to complex queries Subqueries Common Table Expressions (CTEs) Advanced Window Functions This course is ideal for individuals who are Complete beginners to database world or Anyone wanting to learn SQL or PostgreSQL or Application engineers seeking to expand their backend skillset or Anyone who wants to apply SQL knowledge on practical datasets or Anyone wants to learn from basic to advanced functionality of PostgreSQL It is particularly useful for Complete beginners to database world or Anyone wanting to learn SQL or PostgreSQL or Application engineers seeking to expand their backend skillset or Anyone who wants to apply SQL knowledge on practical datasets or Anyone wants to learn from basic to advanced functionality of PostgreSQL.

Enroll now: Master SQL – Simple to advanced 200+ queries

Summary

Title: Master SQL – Simple to advanced 200+ queries

Price: $54.99

Average Rating: 4.5

Number of Lectures: 66

Number of Published Lectures: 66

Number of Curriculum Items: 66

Number of Published Curriculum Objects: 66

Original Price: $64.99

Quality Status: approved

Status: Live

What You Will Learn

  • Solve 200+ SQL hands-on practical query exercises
  • Work with real-world, practical datasets and problems
  • Step-by-step walkthrough to perform simple to complex SQL queries
  • Learn simple to complex queries
  • Subqueries
  • Common Table Expressions (CTEs)
  • Advanced Window Functions
  • Who Should Attend

  • Complete beginners to database world
  • Anyone wanting to learn SQL or PostgreSQL
  • Application engineers seeking to expand their backend skillset
  • Anyone who wants to apply SQL knowledge on practical datasets
  • Anyone wants to learn from basic to advanced functionality of PostgreSQL
  • Target Audiences

  • Complete beginners to database world
  • Anyone wanting to learn SQL or PostgreSQL
  • Application engineers seeking to expand their backend skillset
  • Anyone who wants to apply SQL knowledge on practical datasets
  • Anyone wants to learn from basic to advanced functionality of PostgreSQL
  • Are you ready to embark on an exciting journey through the dynamic world of PostgreSQL?

    Look no further! Our comprehensive PostgreSQL course has been meticulously designed to transform you from a novice into a PostgreSQL wizard, armed with the skills to conquer real-world data challenges!


    By the end of this course, you will run 200+ SQL queries to:

    Apply Powerful SQL Commands: Gain the expertise to effectively store, update, and retrieve information using PostgreSQL’s powerful SQL commands.

    Master Complex Joins: Navigate the intricate web of data by seamlessly joining multiple tables with various techniques.

    Harness the Magic of Subqueries: Move from the basics to advanced subqueries with ease, enabling you to extract precise information from complex datasets.

    Unlock the Secrets of Aggregate Functions: Learn how to aggregate data using functions that turn raw data into meaningful insights.

    Time Travel with Date/Time: Handle date and time data types, intervals, and timezones like a pro.

    Data Grouping: Organize your data with GROUP BY and apply conditional filters using HAVING, allowing for more structured analysis.

    Combining Queries: Combine query results using UNION, INTERSECT, and EXCEPT, creating a powerful toolbox for data manipulation.

    Windows Functions: Delve into the world of window functions, from the basics to advanced techniques for advanced data analysis.

    Real-world Practice: Work on practical datasets, including Employee Management System, International Debt Data Analysis, Stock Market Analysis, World Trades databases, and much more to preparing you for real-world scenarios.

    Ready to Take the Leap? Join Us Today!

    Don’t miss this opportunity to master PostgreSQL, one of the most popular and powerful relational database systems in the world. Sign up now, and you’ll be well on your way to becoming a PostgreSQL pro! Your next big project is waiting – seize it with PostgreSQL expertise!

    Your journey begins with a single click. Enroll now and revolutionize your data handling skills with PostgreSQL!

    Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Introduction

    Lecture 2: Install PostgreSQL 13

    Lecture 3: Install pgAdmin 4 v5.5

    Lecture 4: Run PostgreSQL on the cloud

    Chapter 2: *** Employees Management System ***

    Lecture 1: Understand the database model

    Lecture 2: Create tables and populate data

    Lecture 3: Get filtered data via WHERE clause

    Lecture 4: Referencing an alias and concatenate columns

    Lecture 5: Using conditional logic with CASE expression

    Lecture 6: Using ORDER BY, LIMIT and RANDOM

    Lecture 7: Find NULL values and transform into real values

    Lecture 8: Searching for patterns

    Lecture 9: Sorting on data dependent key

    Lecture 10: Staking tables together

    Chapter 3: Hierarchical Queries

    Lecture 1: Expressing a Parent-Child Relationship

    Lecture 2: Expressing a Child-Parent-Grandparent Relationship

    Lecture 3: Creating a hierarchical view of a table

    Lecture 4: Finding all child rows for a given parent row

    Lecture 5: Which rows are leaf, branch, or root nodes

    Chapter 4: Working with numbers

    Lecture 1: Computing an average, min/max values

    Lecture 2: Sum, and count

    Lecture 3: Generating a running total

    Lecture 4: Calculating 3-point moving averages

    Lecture 5: Calculate a mode

    Lecture 6: Calculate a median, averages without highs and lows

    Chapter 5: Date Arithmetic

    Lecture 1: Add, subtract dates, and numbers of days

    Lecture 2: Compute running date difference

    Lecture 3: Comparing records using dates

    Chapter 6: Advances Searching

    Lecture 1: Find differences between rows within same group or partition

    Lecture 2: Pagination

    Lecture 3: Skipping n rows

    Lecture 4: Selecting the Top n Records

    Chapter 7: Window Functions

    Lecture 1: Turn aggregate function to window function

    Lecture 2: PARTITION BY clause

    Lecture 3: Handling NULLs

    Lecture 4: The ORDER BY clause matters

    Chapter 8: Metadata Queries

    Lecture 1: Listing tables, columns and indexes

    Lecture 2: Listing constraints on a table

    Lecture 3: Using SQL to Generate SQL

    Chapter 9: International Debt Analysis

    Lecture 1: Preparing the data

    Lecture 2: Analyzing International debt – Part 1

    Lecture 3: Analyzing International debt – Part 2

    Chapter 10: Stocks Markets Analysis

    Lecture 1: Introduction to Stock Markets Data

    Lecture 2: CODE: Table Creation – Sectors, Symbols, Prices

    Lecture 3: Import sample datasets

    Lecture 4: CODE: Import sample datasets

    Lecture 5: Important – SQL Query is in CODE: Articles

    Lecture 6: List data, sectors in ascending and descending orders

    Lecture 7: CODE: List data, sectors in ascending and descending orders

    Lecture 8: Using COUNT, WHERE, IN and NOT IN with sectors

    Lecture 9: CODE: Using COUNT, WHERE, IN and NOT IN with sectors

    Lecture 10: CODE: Find total stocks per each sectors

    Chapter 11: Club House Analysis

    Lecture 1: Introduction to database model

    Lecture 2: Load sample datasets

    Lecture 3: Using conditions, stain search and classify results

    Lecture 4: Get unique data, aggregate with max/min functions

    Lecture 5: Joining tables and apply filter conditions

    Lecture 6: inner join on multiple columns, multiple inner joins

    Lecture 7: Using case statement, inner joins, and filters

    Lecture 8: aggregate on multiple columns, date extractions

    Lecture 9: Using count, having with filters

    Lecture 10: Using sum, order by aggregate functions

    Lecture 11: Using rollup aggregation

    Chapter 12: Congratulations and Thank You!

    Lecture 1: Your feedback is very valuable!

    Lecture 2: Updates to the course

    Lecture 3: Bonus Lectures

    Instructors

  • Master SQL Simple to advanced 200+ queries  No.2
    Adnan Waheed
    Founder KlickAnalytics and ex-Bloomberg employee
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  • Frequently Asked Questions

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