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Data Engineering 101: Data basics with SQL

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Ryan Davies

11:12:16

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  • 1. Welcome Message.mp4
    01:43
  • 2. Why SQL.mp4
    04:06
  • 1. Installation Introduction.mp4
    01:08
  • 2.1 CourseResources.zip
  • 2. Course Resources PLEASE DOWNLOAD!.html
  • 3. Windows Installation Guide.mp4
    21:30
  • 4. Written Install Guide & Additional Tips.html
  • 01. Introduction to Humble Beginnings.mp4
    01:17
  • 02. A Brief History of Data.mp4
    04:35
  • 03. Understanding Databases, Tables, DBMS & SQL.mp4
    11:01
  • 04. What is a Table.mp4
    02:53
  • 05. What is a Table Quiz.html
  • 06. Errors are Fun.mp4
    10:29
  • 07. Theory SELECT Basics.mp4
    09:11
  • 08. Practical SELECT Basics.mp4
    18:33
  • 09. Quiz SELECT Basics.html
  • 10. Practical SQL Aliasing.mp4
    05:01
  • 11. Quiz SQL Aliasing.html
  • 12. SELECT DISTINCT Theory.mp4
    03:59
  • 13. Practical SELECT DISTINCT.mp4
    04:42
  • 14. Quiz SELECT DISTINCT.html
  • 15. Theory ORDER BY.mp4
    05:27
  • 16. Practical ORDER BY.mp4
    04:07
  • 17. Quiz ORDER BY.html
  • 18. Theory LIMIT.mp4
    06:31
  • 19. Practical LIMIT.mp4
    04:06
  • 20. Quiz LIMIT.html
  • 21. Theory WHERE.mp4
    16:13
  • 22. Practical WHERE.mp4
    22:32
  • 23. Quiz WHERE.html
  • 24. Summary Humble Beginnings.mp4
    01:31
  • 1. Introduction to Number Crunching.mp4
    01:03
  • 2. Theory Arithmetic & Aggregate Functions.mp4
    07:29
  • 3. Practical Arithmetic & Aggregate Functions.mp4
    35:23
  • 4. Quiz Arithmetic & Aggregate Functions.html
  • 5. Theory GROUP BY.mp4
    12:09
  • 6. Practical GROUP BY.mp4
    35:23
  • 7. Quiz GROUP BY.html
  • 8. Summary Number Crunching.mp4
    02:07
  • 01. Introduction to Combining Data.mp4
    01:14
  • 02. Theory Understanding Keys.mp4
    20:03
  • 03. Quiz Keys.html
  • 04. Theory Combining Datasets with JOIN & UNION.mp4
    15:09
  • 05. Practical Basic SQL Joins.mp4
    22:16
  • 06. Quiz Basic SQL Joins.html
  • 07. Practical SELF & CROSS joins.mp4
    22:19
  • 08. Quiz Self & Cross Joins.html
  • 09. Practical Union & Union All.mp4
    10:43
  • 10. Quiz Union & Union All.html
  • 11. Summary Combining Data.mp4
    07:34
  • 1. Introduction to Managing Data.mp4
    01:42
  • 2. Theory Data Types & Managing Data.mp4
    21:20
  • 3. Practical Data Types & Basic Data Definition.mp4
    39:43
  • 4. Quiz Data Types & Basic Data Definition.html
  • 5. Theory Data Normalisation.mp4
    16:22
  • 6. Quiz Data Normalisation.html
  • 7. Summary Managing Data.mp4
    04:22
  • 01. Introduction to Expanding Knowledge.mp4
    01:09
  • 02. Practical Timestamps & Dates.mp4
    26:19
  • 03. Quiz Timestamps & Dates.html
  • 04. Practical Data Type Conversion.mp4
    11:30
  • 05. Quiz Data Type Conversion.html
  • 06. Practical Conditional Expressions.mp4
    24:07
  • 07. Quiz Conditional Expressions.html
  • 08. Practical Views and Temp Tables.mp4
    12:44
  • 09. Quiz Views and Temp Tables.html
  • 10. Practical Sub Queries.mp4
    45:05
  • 11. Quiz Sub Queries.html
  • 12. Practical Common Table Expressions.mp4
    26:08
  • 13. Quiz Common Table Expression.html
  • 14. Practical Window Functions.mp4
    25:44
  • 15. Quiz Window Functions.html
  • 1. Introduction to Advanced Topics.mp4
    01:14
  • 2. Practical Transactions.mp4
    13:58
  • 3. Quiz Transactions.html
  • 4. Practical Stored Procedures.mp4
    34:18
  • 5. Quiz Stored Procedures.html
  • 6. Practical Triggers.mp4
    10:04
  • 7. Quiz Triggers.html
  • 1. Congratulations!.mp4
    03:00
  • Description


    Learn the basics of data utilising PostgreSQL

    What You'll Learn?


    • Solid Understanding of Data Fundamentals: Gain a comprehensive knowledge of key data concepts, including terminology, types, and the lifecycle of data.
    • Proficiency in SQL Mastery: Master the art of crafting powerful SQL queries for efficient data extraction, transformation, and loading (ETL) processes.
    • Acquire practical experience through real-world examples and exercises, allowing you to immediately apply your SQL skills in various scenarios.
    • Explore and grasp advanced concepts such as data modeling, normalization, and more techniques to enhance your data engineering expertise.
    • Develop the ability to tackle real-world data challenges by applying learned concepts and techniques to practical scenarios.

    Who is this for?


  • Data Enthusiasts and Beginners: Individuals with little or no prior experience in data engineering who want to build a strong foundation and kickstart their journey in the world of data.
  • Aspiring Data Professionals: Those aiming to enter the field of data engineering and seeking a comprehensive introduction to essential concepts, including data basics and SQL.
  • Analysts and Business Professionals: Professionals in non-technical roles who want to enhance their understanding of data to make informed decisions and communicate effectively with technical teams.
  • Anyone Seeking Career Advancement: Professionals looking to advance their careers by acquiring in-demand skills in data engineering, a field critical to today's data-driven business landscape.
  • What You Need to Know?


  • Anyone Seeking Career Advancement: Beginners or Professionals looking to advance their careers by acquiring in-demand skills in data engineering, a field critical to today's data-driven business landscape.
  • More details


    Description

    Unlock the power of data with our Udemy course, "Data Engineering 101: Data Basics with SQL" Dive into the world of data engineering and equip yourself with essential skills that will set you on the path to success in today's data-driven landscape.

    Key Features:

    • Foundational Knowledge: Gain a solid understanding of data fundamentals, exploring its role in decision-making and its lifecycle within organizations.

    • Fun Examples: Explore data using a fun pre-historic theme to help keep the content fresh, engaging and not too dry.

    • SQL Mastery: Master the art of SQL with hands-on exercises and real-world examples, enabling you to efficiently manage and manipulate databases .

    • Practical Application: Immediately apply your SQL skills in real-world scenarios, ensuring a practical and pragmatic approach to learning.

    • Advanced Concepts: Explore transactions, stored procedures triggers, normalization, and more techniques to elevate your data engineering capabilities.

    Who is this course for?

    • Beginners looking to establish a strong foundation in data engineering.

    • Professionals seeking to enhance their technical skills for a data-centric career.

    Why Enroll?

    • Learn from industry experts with a wealth of practical experience.

    • Gain actionable skills applicable in diverse coding scenarios.

    • Navigate data with confidence.

    Prepare to thrive in the data-driven future. Enroll now and unlock the doors to a comprehensive understanding of data basics, SQL mastery, and the broader landscape of data engineering. Your journey to data excellence starts here!

    Who this course is for:

    • Data Enthusiasts and Beginners: Individuals with little or no prior experience in data engineering who want to build a strong foundation and kickstart their journey in the world of data.
    • Aspiring Data Professionals: Those aiming to enter the field of data engineering and seeking a comprehensive introduction to essential concepts, including data basics and SQL.
    • Analysts and Business Professionals: Professionals in non-technical roles who want to enhance their understanding of data to make informed decisions and communicate effectively with technical teams.
    • Anyone Seeking Career Advancement: Professionals looking to advance their careers by acquiring in-demand skills in data engineering, a field critical to today's data-driven business landscape.

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    Hello! I'm Ryan Davies, a passionate Cloud Data Engineer dedicated to turning complex data into clear, actionable insights. With a rich background spanning over a decade, I specialize in streamlining data processes, from ETL development to data management, with a knack for demystifying data concepts for all.A Brief Overview of My JourneyMy professional voyage commenced in the bustling city of New York, where I began as a Data Analyst in the finance sector, focusing on data infrastructure. My academic foundation in Business Economics and International Business Practice, acquired from Manchester Metropolitan University and the Mountbatten Institute in NYC, respectively, has been crucial in my career progression.I then ventured to London, where I embraced significant roles across the insurance and telecommunications industries, deepening my expertise in data analytics. My experience at a leading tech firm further allowed me to mentor budding professionals and enhance ETL processes, highlighting my commitment to teamwork and knowledge transfer.Transitioning into a Senior Consultant role, I spearheaded projects that optimized operations and reduced expenses within various sectors. Currently, as a consultant, I leverage my proficiency in Python, Spark, AWS, and other technologies, assisting major clients in navigating their technological transformations.Skills and CertificationsBeyond my core focus on data, I bring a holistic skill set encompassing Python, AWS, SQL, Tableau, Qlik, Salesforce, ETL, Jira, and Excel. As a Certified AWS Developer, I ensure I'm at the cutting edge of cloud technology.My Teaching PhilosophyFor me, teaching is about simplifying the intricate. Through workshops, one-on-one coaching, or online platforms, I aim to make data accessible to everyone, fostering an environment of growth and learning.
    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 52
    • duration 11:12:16
    • Release Date 2024/05/04