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  • Using Real World PostgreSQL Database Airlines Database.
  • Use Python Pandas to Analyze and visualize Postgres Data Output.
  • SQL Test Your Self, SQL Challenges, SQL Final Exam and more
  • Use Python to visualize Postgres Data Output and get your Conclusion about Data.
  • Use SQL to create databases.
  • Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.
  • Use SQL to insert data into a table.
  • Use SQL to Query & retrieve data from databases.
  • Use SQL to Sort records after retrieving from databases.
  • How & when to use Joins types in SQL.
  • How to create and deal with Sub-queries in SQL.
  • How to create and deal with common table expression in SQL.
  • Use SQL to perform data analysis of real world databases
  • Use SQL to perform advanced techniques to retrieve data from databases.
  • Use Python with SQL Postgres database.
  • Use Python to load Postgres Data Output file.

This course will make you SQL query expert it's a complete SQL boot camp and, You'll learn the skills you need to retrieve insightful data from a database. There are many test your self  quizzes distributed over the course the course with detailed  solutions so you to practice more and more . After completing this course and all of it's quizzes and the Final exam,  you will be comfortable with using SQL & PostgreSQL in data analysis and data science by SQL Challenges and Final Exam and more

You will learn many tips and tricks in PostgreSQL to query data through the following Topics covered in this course:

Using Real World PostgreSQL Database Airlines Database.

  • What is a Database

  • SQL database for beginners.

  • Installing PostgreSQL database.

  • Creating Tables in database using SQL.

  • Drop table from SQL database

  • SELECT Statement use with SQL database data querying

  • WHERE Clause use with SQL database data querying

  • Operators used with Where clause in SQL database data querying .

  • AND & OR use with SQL database data querying

  • like use with SQL database data querying .

  • Filtering Operators use with SQL database data querying .

  • ORDER BY use with SQL database data querying .

  • LIMIT use with SQL database data querying .

  • DISTINCT use with SQL database data querying .

  • Renaming Column in SQL database.

  • Functions use with SQL database data querying .

  • GROUP BY & HAVING Clauses use with database data querying .

  • Aggregation Queries in SQL database.

  • CASE Clause use with database data querying .

  • Time & date data in SQL in database.

  • Table Joins in SQL database.

  • INNER and OUTER Joins in SQL database.

  • UNION, UNION ALL, INTERSECT and EXCEPT Clauses use with SQL database data querying.

  • Sub-queries use with SQL database data querying .

  • Correlated Sub queries use with SQL database data querying.

  • Window Functions for Analytics in SQL database.

  • Test Your Self  SQL Quizzes distributed throughout this course.

  • Challenges for more SQL practice in this course.

  • Final Exam in SQL database data querying.

  • Using Python with SQL Postgres database.

  • Using Python to load Postgres Data Output file.

  • Using Python Pandas  to Analyze and visualize Postgres Data Output.

  • Computer and internet.
  • No prior knowledge required for this course.
  • Are you want to learn more about SQL, PostgreSQL, or data analysis using SQL?
  • Are you want to learn SQL for data science?
  • Are you welling to learn Python Pandas & Data Visualization?
  • Are you ready for upcoming SQL interview questions?
  • Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.
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  • Section 1 : Course Introduction 1 Lectures 00:05:00

    • Lecture 1 :
  • Section 2 : Beginner: PostgreSQL Downloading & Installing + Preparing Airlines Database 4 Lectures 00:05:29

    • Lecture 1 :
    • PostgreSQL Downloading & Installing.
    • Lecture 2 :
    • Create Database.
    • Lecture 3 :
    • Restore Database.
    • Lecture 4 :
    • Test Your Self (1)
  • Section 3 : Beginner: Database Airlines Overview. 3 Lectures 00:10:18

    • Lecture 1 :
    • Database Overview Part 1.
    • Lecture 2 :
    • Database Overview Part 2.
    • Lecture 3 :
    • SQL Data Types
  • Section 4 : Beginner: SQL Basics Part1. 4 Lectures 00:13:34

    • Lecture 1 :
    • Select Statement
    • Lecture 2 :
    • Select Challenge Solution
    • Lecture 3 :
    • Select Statement For all Airlines Database Tables
    • Lecture 4 :
    • Distinct
  • Section 5 : Beginner: SQL Basics Part 2. 5 Lectures 00:26:32

    • Lecture 1 :
    • Where Clause.
    • Lecture 2 :
    • Operators used with Where Clause.
    • Lecture 3 :
    • Where Clause + AND & Where Clause + OR.
    • Lecture 4 :
    • Where Clause + LIKE.
    • Lecture 5 :
    • (Where Clause + BETWEEN & IN) & AS.
  • Section 6 : Beginner: SQL Basics Part 3 6 Lectures 00:21:55

    • Lecture 1 :
    • LIMIT & ORDER BY.
    • Lecture 2 :
    • FETCH vs LIMIT.
    • Lecture 3 :
    • NOT IN.
    • Lecture 4 :
    • ISNULL & IS NOT NULL.
    • Lecture 5 :
    • CAST.
    • Lecture 6 :
    • Test You Self (2)
  • Section 7 : SQL Basics Challenge. 1 Lectures

    • Lecture 1 :
    • SQL Basics Challenge
  • Section 8 : Intermediate: SQL Aggregations. 5 Lectures 00:09:37

    • Lecture 1 :
    • COUNT( ) Function, CREATE TABLE & INSERT INTO TABLE.
    • Lecture 2 :
    • SUM( ) Function.
    • Lecture 3 :
    • MIN( ) , MAX( ) & AVG( ) Functions.
    • Lecture 4 :
    • GROUP BY & HAVING.
    • Lecture 5 :
    • Test You Self (3)
  • Section 9 : SQL Aggregation Challenge! 1 Lectures

    • Lecture 1 :
    • SQL Aggregation Challenge
  • Section 10 : Intermediate: SQL Conditional 4 Lectures 00:12:32

    • Lecture 1 :
    • CASE
    • Lecture 2 :
    • NULLIF()
    • Lecture 3 :
    • COALESCE() Function in SQL
    • Lecture 4 :
    • Test You Self (4)
  • Section 11 : SQL Conditional Challenge! 1 Lectures

    • Lecture 1 :
    • SQL Conditional Challenge
  • Section 12 : Intermediate: SQL Time Data management 4 Lectures 00:17:32

    • Lecture 1 :
    • Overview of Time Functions in PostgreSQL
    • Lecture 2 :
    • TIMESTAMP EXTRACT()
    • Lecture 3 :
    • DATE_TRUNC() & DATE_PART()
    • Lecture 4 :
    • ::DATE IN PostgreSQL & CURRENT_DATE & now( )
  • Section 13 : Intermediate: SQL Joins 12 Lectures 00:46:58

    • Lecture 1 :
    • INNER JOIN
    • Lecture 2 :
    • Joins Types
    • Lecture 3 :
    • LEFT OUTER JOIN
    • Lecture 4 :
    • Deep understanding of LEFT JOIN
    • Lecture 5 :
    • RIGHT OUTER JOIN
    • Lecture 6 :
    • FULL OUTER JOIN
    • Lecture 7 :
    • CROSS JOIN
    • Lecture 8 :
    • UNION, UNION ALL, INTERSECT & EXCEPT
    • Lecture 9 :
    • SELF JOIN
    • Lecture 10 :
    • USING
    • Lecture 11 :
    • NATURAL JOIN
    • Lecture 12 :
    • Test Your Self (5)
  • Section 14 : SQL JOINS Challenge. 1 Lectures

    • Lecture 1 :
    • SQL JOINS Challenge
  • Section 15 : Intermediate: Sub-queries & Common Table Expression in SQL 4 Lectures 00:32:30

    • Lecture 1 :
    • Sub-queries
    • Lecture 2 :
    • SQL Sub-query + EXISTS OR ANY OR ALL
    • Lecture 3 :
    • Common Table Expression
    • Lecture 4 :
    • Test You Self (6) with Solution
  • Section 16 : Sub-query Challenge 1 Lectures

    • Lecture 1 :
    • SQL Sub-query & CTE Challenge.
  • Section 17 : Advanced: PostgreSQL Functions. 5 Lectures 00:22:48

    • Lecture 1 :
    • Math Functions
    • Lecture 2 :
    • Window Functions OVER()
    • Lecture 3 :
    • Window Functions RANK() + OVER() & NTILE() + OVER()
    • Lecture 4 :
    • Window Functions OVER() + LEAD()
    • Lecture 5 :
    • Window Functions OVER() + LAG()
  • Section 18 : Advanced: Other SQL Functions 4 Lectures 00:13:50

    • Lecture 1 :
    • GROUPING SETS(), ROLLUP(), CUBE()
    • Lecture 2 :
    • SELECT Statement + INTO & SELECT Statement + INTO + IN
    • Lecture 3 :
    • VIEW()
    • Lecture 4 :
    • Test Your Self (7) With Solution.
  • Section 19 : PostgreSQL String Functions. 6 Lectures 00:21:21

    • Lecture 1 :
    • PostgreSQL POSITION Function.
    • Lecture 2 :
    • STRPOS() & REPLACE() in PostgreSQL.
    • Lecture 3 :
    • PostgreSQL LEFT(), RIGHT(), BTRIM() & SPLIT_PART() Functions.
    • Lecture 4 :
    • PostgreSQL CONCAT Function.
    • Lecture 5 :
    • PostgreSQL LOWER(), UPPER() & INITCAP() Functions.
    • Lecture 6 :
    • Test Your Self (8) solution With Solution.
  • Section 20 : Final Exam 2 Lectures

    • Lecture 1 :
    • Final Exam.
    • Lecture 2 :
    • Final Exam Model Answers.
  • Section 21 : Python + PostgreSQL introduction. 7 Lectures 00:16:24

    • Lecture 1 :
    • Python Download & Install
    • Lecture 2 :
    • Online jupyter lab
    • Lecture 3 :
    • Using CMD & Python pip.PyPi to Install Jupyter Lab & Pandas
    • Lecture 4 :
    • Jupyter Commands
    • Lecture 5 :
    • Using Python to load and querying PostgreSQL Database
    • Lecture 6 :
    • Runnig SQL Query Using Python Panadas Module
    • Lecture 7 :
    • Using Python Pandas Package to load PostgreSQL the Data Output file
  • Section 22 : Using Python Pandas in Data Analysis of PostgreSQL Data output. 5 Lectures 00:22:58

    • Lecture 1 :
    • Data Analysis Process Overview.
    • Lecture 2 :
    • Pandas Methods.
    • Lecture 3 :
    • Pandas data visualization.
    • Lecture 4 :
    • Pandas Data Analysis.
    • Lecture 5 :
    • Sampling Error.
  • Section 23 : Scrape the Web & Saving Data to a Database. 4 Lectures 00:31:39

    • Lecture 1 :
    • How to Scrape a website???
    • Lecture 2 :
    • Scrape a Table inside a Webpage using Pandas and LXML Python Modules!
    • Lecture 3 :
    • Visualization of the Scarped Data.
    • Lecture 4 :
    • Save The Scraped Data to a Database.
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Hello there! With over 350,000 happy students enrolled in my courses, I'm thrilled to be sharing my programming and data science expertise with you. As a programmer and data scientist, I've mastered several programming languages, including Python, SQL, JavaScript, R Programming, as well as tools like Excel, Tableau, Jupyter Notebook, Apache Cassandra, Apache Spark, Apache Airflow, Apache Kafka, AWS, and R Studio. I'm passionate about teaching and sharing my knowledge with the community. When I'm not coding, you can usually find me hiking or reading a good book. I believe that lifelong learning is essential for personal development, and my courses are designed to encourage students to continue learning outside of formal education. I update my courses every month to add new sections based on your feedback and requests. So don't wait – enroll in my courses now and start your journey towards mastering programming, web development, data science, data Engineering and Machine Learning!
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