• views: 33
• date: 5 December 2024
• posted by: AD-TEAM

Use SQL, Python, Data Modelling and Project Interview preparation to land your first job in Data Engineering!

What you'll learn

• To query Data in a Database
  
• To write your own scripts in Python
  
• The most powerful SQL transformations
  
• Python's control flow and conditional logic
  
• To sell your project experience effectively
  
• To navigate AI's role in Data
  
• Strategies for modelling Data in a Database
  
• How problems are posed in industry
  
• Navigate live-coding interviews calmly
  
• Write scalable, professional code
  
• Know what role a Data Engineer performs
  
• Gain confidence in yourself and experience
  
• Set Theory's relation to Data
  
• What hiring managers really look for
  

Requirements

No programming experience required, all you need is an email address and an internet connection. All of the tools used can be accessed from your browser.

Description

Ready to Launch Your Career in Data Engineering?

Whether you're curious about the world of data, a student, looking to change up your career, in a related field, or just looking to sharpen up your skills this course is designed just for you! Cracking the Data Engineering Interview is your gateway to landing a job in one of the fastest-growing, high-demand fields in tech today.

Course Overview

Cracking the Data Engineering Interview is a beginner-friendly course that takes you step-by-step through everything you need to succeed in your data engineering job hunt. We start with the basics and gradually build your skills, ensuring you're fully equipped to crack any interview.

Throughout the course, you'll find loads of bite-sized coding example questions designed to test your skills and remove the scare factor. These exercises are not just practice—they're a built-in study plan, helping you focus on key concepts without the extra effort of planning your own study sessions.

What this course DOESN'T include:

• Downloading any software
  
• Confusing terminology
  
• Writing code in your terminal
  
• Lengthy hard to digest lectures
  

Course Content

1. Introduction | We'll kick off with an overview of the data engineering landscape, what the role entails, and why it's such a critical function in the age of big data and AI.

2. Data Modelling | Learn the fundamentals of data modelling, including how to structure and organise data in ways that make it accessible, reliable, and easy to analyse.

3. SQL | SQL is the backbone of data engineering. In this module, you'll master the art of writing efficient queries, understanding joins, and optimising databases. You'll also get hands-on practice with exercises that mimic real-world scenarios you'll face in a data engineering role.

4. Projects | This section also teaches you how to effectively present and sell your project experience to hiring managers. You'll learn how to highlight your contributions, explain the impact of your work, and showcase your skills in a way that makes you stand out in interviews.

5. Python | Python is a key tool in the data engineer's toolkit. We'll start from the basics and move into more advanced concepts like data manipulation, scripting, and automation.

Start Learning Today!

This course is structured to make learning easy and accessible, with no need for complex installations or deep technical know-how to get started. We believe that the best way to learn is by doing, and we're here to support you every step of the way.

Get ready to ace your data engineering interview and step into a rewarding career with confidence. Enrol now and take the first step towards your new future!

If you have any questions about the content of the course or need any support during the course feel free to reach out to me by email.

Who this course is for:

This course is designed for programming beginners looking to get their first job in Data Engineering! The most common types are people looking for a career change, graduate students, professionals in related fields, or even Data Engineers looking to round out their experience.

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