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PostgreSQL and MySQL for Beginners

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Start-Tech Academy,Start-Tech Trainings

8:59:24

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  • 1. Installing PostgreSQL and pgAdmin in your PC.mp4
    10:44
  • 2. If pgAdmin is not opening....html
  • 1. Installing and Setting up MySQL.mp4
    05:47
  • 1. Course resources.html
  • 1. CREATE in PostgreSQL.mp4
    11:40
  • 2. CREATE in MySQL.mp4
    04:36
  • 3. INSERT in PostgreSQL.mp4
    09:07
  • 4. INSERT in MySQL.mp4
    06:55
  • 5. Import data from File in PostgreSQL.mp4
    04:59
  • 6. Import data from File in MySQL.mp4
    04:40
  • 7. SELECT statement in PostgreSQL.mp4
    03:40
  • 8. SELECT statement in MySQL.mp4
    02:31
  • 9. SELECT DISTINCT in PostgreSQL.mp4
    06:05
  • 10. SELECT DISTINCT in MySQL.mp4
    02:07
  • 11. WHERE in PostgreSQL.mp4
    04:02
  • 12. WHERE in MySQL.mp4
    03:49
  • 13. Logical Operators in PostgreSQL.mp4
    06:03
  • 14. Logical Operators in MySQL.mp4
    07:02
  • 15. UPDATE in PostgreSQL.mp4
    05:24
  • 16. UPDATE in MySQL.mp4
    04:06
  • 17. DELETE in PostgreSQL.mp4
    04:11
  • 18. DELETE in MySQL.mp4
    03:07
  • 19. ALTER Part 1 in PostgreSQL.mp4
    06:49
  • 20. ALTER Part 2 in PostgreSQL.mp4
    10:31
  • 21. ALTER in MySQL.mp4
    07:35
  • 1. Restore and Back-up.mp4
    07:37
  • 2. Debugging restoration issues.mp4
    08:26
  • 3. Creating DB using CSV files.mp4
    05:40
  • 4. Debugging summary and Code for CSV files.html
  • 1. Restoring and Back-up in MySQL.mp4
    02:35
  • 2. Restore and Back-up in MySQL.mp4
    02:56
  • 1. IN in PostgreSQL.mp4
    04:18
  • 2. IN in MySQL.mp4
    02:54
  • 3. BETWEEN in PostgreSQL.mp4
    05:40
  • 4. BETWEEN in MySQL.mp4
    03:40
  • 5. LIKE in PostgreSQL.mp4
    08:52
  • 6. LIKE in MySQL.mp4
    07:30
  • 1. Side Lecture Commenting in SQL.mp4
    01:21
  • 2. ORDER BY in PostgreSQL.mp4
    07:42
  • 3. ORDER BY in MySQL.mp4
    06:39
  • 4. LIMIT in PostgreSQL.mp4
    03:38
  • 5. LIMIT in MySQL.mp4
    02:45
  • 1. AS in PostgreSQL.mp4
    03:33
  • 2. AS in MySQL.mp4
    02:01
  • 1. COUNT in PostgreSQL.mp4
    05:07
  • 2. COUNT in MySQL.mp4
    02:48
  • 3. SUM in PostgreSQL.mp4
    03:24
  • 4. SUM in MySQL.mp4
    03:02
  • 5. AVERAGE in PostgreSQL.mp4
    02:53
  • 6. AVERAGE in MySQL.mp4
    02:18
  • 7. MIN & MAX in PostgreSQL.mp4
    04:18
  • 8. MIN & MAX in MySQL.mp4
    02:17
  • 1. GROUP BY in PostgreSQL.mp4
    11:42
  • 2. GROUP BY in MySQL.mp4
    05:48
  • 3. HAVING in PostgreSQL.mp4
    05:04
  • 4. HAVING in MySQL.mp4
    04:45
  • 1. CASE WHEN in PostgreSQL.mp4
    05:17
  • 1. Introduction to Joins.mp4
    02:54
  • 2. Concepts of Joining and Combining Data.mp4
    11:58
  • 3. Preparing the data.mp4
    02:00
  • 4. Inner Join in PostgreSQL.mp4
    08:04
  • 5. Inner Join in MySQL.mp4
    04:29
  • 6. Left Join in PostgreSQL.mp4
    07:30
  • 7. Left Join in MySQL.mp4
    01:54
  • 8. Right Join in PostgreSQL.mp4
    06:27
  • 9. Right Join in MySQL.mp4
    02:04
  • 10. Full Outer Join in PostgreSQL.mp4
    04:59
  • 11. Full Outer Join in MySQL.mp4
    04:21
  • 12. Cross Join in PostgreSQL.mp4
    04:21
  • 13. Cross Join in MySQL.mp4
    02:58
  • 14. Intersect and Intersect ALL in PostgreSQL.mp4
    07:06
  • 15. Except in PostgreSQL.mp4
    02:53
  • 16. Except in MySQL.mp4
    03:51
  • 17. Union in PostgreSQL.mp4
    03:09
  • 18. Union in MySQL.mp4
    02:50
  • 1. Subqueries Subquery in WHERE clause in PostgreSQL.mp4
    04:55
  • 2. Subqueries Subquery in FROM clause in PostgreSQL.mp4
    05:23
  • 3. Subqueries Subquery in SELECT in PostgreSQL.mp4
    04:02
  • 4. Subqueries in MySQL.mp4
    07:35
  • 1. VIEWS in PostgreSQL.mp4
    07:14
  • 2. VIEWS in MySQL.mp4
    03:46
  • 3. INDEX in PostgreSQL.mp4
    06:25
  • 4. INDEX in MySQL.mp4
    03:40
  • 1. LENGTH in PostgreSQL.mp4
    03:22
  • 2. UPPER LOWER in PostgreSQL.mp4
    02:10
  • 3. REPLACE in PostgreSQL.mp4
    04:13
  • 4. TRIM, LTRIM, RTRIM in PostgreSQL.mp4
    06:56
  • 5. CONCATENATION in PostgreSQL.mp4
    02:56
  • 6. SUBSTRING in PostgreSQL.mp4
    06:01
  • 7. LIST AGGREGATION in PostgreSQL.mp4
    04:54
  • 8. String Functions Part 1 in MySQL.mp4
    08:17
  • 9. String Functions Part 2 in MySQL.mp4
    07:31
  • 1. CEIL & FLOOR in PostgreSQL.mp4
    03:20
  • 2. RANDOM in PostgreSQL.mp4
    05:04
  • 3. SETSEED in PostgreSQL.mp4
    04:11
  • 4. ROUND in PostgreSQL.mp4
    02:27
  • 5. POWER in PostgreSQL.mp4
    02:18
  • 6. Mathematical Functions in MySQL.mp4
    08:58
  • 1. CURRENT DATE & TIME in PostgreSQL.mp4
    04:25
  • 2. AGE in PostgreSQL.mp4
    03:50
  • 3. EXTRACT in PostgreSQL.mp4
    08:16
  • 4. Date-Time Functions in MySQL.mp4
    09:45
  • 1. PATTERN MATCHING BASICS.mp4
    07:33
  • 2. Advanced pattern matching Part 1 (REGULAR EXPRESSIONS).mp4
    08:29
  • 3. Advanced pattern matching Part 2 (REGULAR EXPRESSIONS).mp4
    06:49
  • 4. Pattern matching in MySQL.mp4
    07:28
  • 1. The final milestone!.mp4
    01:23
  • 2. Bonus Lecture.html
  • Description


    Learn most popular SQL dialects, PostgreSQL & MySQL. Learn SQL concepts, practice & compare syntax of PostgreSQL & MySQL

    What You'll Learn?


    • 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 is this for?


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


    Description

    4 Reasons why you should choose this SQL course

    1. Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses

    2. Comprehensive - covers basic and advanced SQL statements in both, PostgreSQL and MySQL

    3. Downloadable resources covering important topics on SQL

    4. 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.

    We are also the creators of some of the most popular online courses - with over 1 million 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

    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?

    1. 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.

    2. 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.

    3. SQL is one of the most sought-after skills by hiring employers.

    4. 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.

    Who this course is for:

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

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    Start-Tech Academy
    Start-Tech Academy
    Instructor's Courses
    Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners. Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey. Founded by Abhishek Bansal and Pukhraj Parikh. Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in  MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.
    Start-Tech Trainings
    Start-Tech Trainings
    Instructor's Courses
    Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners. Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey. Founded by Abhishek Bansal and Pukhraj Parikh. Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in  MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 104
    • duration 8:59:24
    • Release Date 2022/12/24