Data Engineering 101: Data basics with SQL

Learn the basics of data utilising PostgreSQL

Ratings: 5.00 / 5.00




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!

What You Will 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 Should Attend!

  • 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.