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Data Engineering & Analyst (Bootcamp)

Data Engineering & Analyst (Bootcamp)

Regular price £3,500.00 GBP
Regular price £3,600.00 GBP Sale price £3,500.00 GBP
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Purpose of the Data Engineering Bootcamp

The Data Engineering Bootcamp is designed to equip participants with the foundational skills and knowledge required for a career in data engineering. This comprehensive training program combines five professional certifications that cover a broad spectrum of data engineering topics, including SQL querying, database design, Python programming, and data engineering principles on Microsoft Azure. The bootcamp is structured to provide a pathway for individuals to learn how to manage, process, and analyse large data sets, design and implement databases, and develop scalable data solutions on cloud platforms.

Data Engineering Bootcamp Training Components

  • Introduction to Databases, E-Learning: Offers foundational knowledge on database concepts, ensuring participants understand how databases are structured, operated, and maintained.
  • Introduction to Python, E-Learning: Introduces Python programming, emphasising its application in data analysis, manipulation, and engineering tasks.
  • Microsoft DP-900 (Azure Data Fundamentals), Live Training: A 2-day classroom course that provides foundational knowledge on core data concepts and how they are implemented using Microsoft Azure data services.
  • CompTIA Data+ E-Learning: Prepares participants with the skills and knowledge to analyse, manipulate, and manage data in various formats, focusing on data analysis fundamentals.
  • Microsoft DP-203 (Data Engineering on Microsoft Azure) Live Training: A 4-day classroom course that dives deep into the specifics of data engineering, including working with data storage, data processing, and data security on Microsoft Azure.
  • Microsoft PL-300 (Microsoft Power BI Data Analyst) E-Learning: Focuses on teaching participants how to use Microsoft Power BI for data analysis and visualisation, enabling them to turn data into actionable insights.

Target Audience

This bootcamp is intended for individuals looking to start a career in data engineering, IT professionals seeking to transition into data roles, data analysts and scientists aiming to expand their skill set into data engineering, and anyone interested in developing skills in database management, data processing, and data analytics.

Why Pursue the Data Engineering Bootcamp?

  • Comprehensive Skill Set: Provides a broad overview of data engineering, from database management to cloud-based data solutions.
  • Career Opportunities: Opens doors to various roles in data engineering, data analytics, and data science.
  • Hands-On Experience: Through practical exercises and projects, participants gain hands-on experience in real-world data engineering tasks.
  • Professional Certification: Earning certifications enhances your resume and validates your skills to employers.

Average Salary for Bootcamp Graduates

Graduates of the Data Engineering Bootcamp can expect competitive salaries, reflecting the high demand for skilled data professionals. Salaries vary depending on geographic location, experience, and the specific role within data engineering or analytics.

Job Roles

Graduates are well-prepared for roles such as Data Engineer, Database Administrator, Data Analyst, and Cloud Data Architect.

Frequently Asked Questions

  • What prerequisites are required for the Data Engineering Bootcamp? A basic understanding of programming and databases is helpful but not required.
  • Can I complete the bootcamp online? While some components are available online, the live training sessions offer in-depth, interactive learning experiences.
  • How long does the bootcamp take to complete? The duration varies based on scheduling, typically spanning several weeks to a few months.
  • Is the bootcamp suitable for beginners? Yes, it accommodates beginners, with courses progressing from introductory to advanced topics.
  • How does the bootcamp prepare me for a career in data engineering? It provides a solid foundation in data engineering concepts, practical skills in database and cloud technologies, and recognised certifications.
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