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Our Data Engineering Package is ideal for anyone eager to attain three Internationally Recognised Certifications that will significantly boost their career in data engineering. These certifications are a testament to your skills and knowledge in data management and analysis, highly valued in today’s data-driven world. They are structured to be completed sequentially, each building upon the knowledge of the previous one.
This course is meticulously crafted for individuals with limited experience in data-related fields, allowing you to embark on your journey from the basics and progress to more advanced concepts in data engineering.
The training consists of three professional certifications, each highly sought after by employers and pivotal for a flourishing career in data engineering. The certifications included in this package are:
There are no prerequisites for our Beginner Data Engineering course. This course is structured to take you from a beginner to an expert level, with no prior knowledge required.
You do not need any background in Data Engineering, IT, or related courses. If you are completely new to this industry, and to advanced computer and technology usage, there's no cause for concern.
However, possessing basic skills in using a PC as an end-user can be advantageous.
Upon completing our Beginner Data Engineering course, you will be qualified for various roles in this rapidly growing field.
Data Engineering skills are increasingly in demand across a wide range of industries, as more organisations recognise the importance of data-driven decision-making.
Potential roles you could embark on include: Data Analyst, Database Administrator, Python Developer, Junior Data Engineer, Business Intelligence Analyst, Data Visualisation Specialist, Machine Learning Engineer, and more.
Our Data Engineering Training course is meticulously designed to provide you with the knowledge and certifications needed to begin your professional journey in data engineering. No previous experience in IT is necessary, and we specialise in guiding individuals from a beginner to an expert level.
In addition to gaining industry-recognised certifications, our unique recruitment advice service will assist you in securing your first job. This includes optimising your CV and LinkedIn profile, interview techniques, and arranging job interviews in your locality.
Salaries in the field of Data Engineering can vary based on your role and location. In this rapidly evolving sector, the potential for salary growth is substantial, with clear career advancement paths.
For example, a Data Engineer can typically expect to earn an average of around £57,000 per annum, whilst more advanced roles like Senior Data Engineer or Data Architect may offer higher salaries. Freelance or consultancy roles also provide competitive daily rates, reflecting the high demand for these skills.
The earning potential in Data Engineering is significant, and our Beginner Data Engineering course is your stepping stone to this exciting and rewarding career.
This course is meticulously designed for those aiming to master the art of designing high-performance databases using SQL Server. It's perfect for individuals looking to gain a comprehensive understanding of database architecture and the practical tools necessary for creating all essential database objects.
Course Highlights:
Course Prerequisites:
This exam measures your ability to describe the following concepts: cloud concepts; core Azure services; core solutions and management tools on Azure; general security and network security features; identity, governance, privacy, and compliance features; and Azure cost management and Service Level Agreements.
Learning Outcomes:
Upon completion of the course, you will be able to:
This course offers a solid foundation for anyone looking to dive deep into database architecture and management, providing the skills and knowledge necessary to build and maintain robust databases.
This course offers an in-depth exploration of Python, one of the most versatile and widely-used programming languages today. Known for its straightforward syntax and open-source availability, Python is an ideal language for both beginners and experienced programmers. Its utility spans across numerous fields, including data science, machine learning, web development, and more.
Key Highlights of the Course:
Applications of Python:
This course is designed to provide a comprehensive understanding of Python, covering its fundamental concepts and practical applications. Whether you're interested in web development, data analysis, machine learning, or simply looking to learn programming, this course offers the essential skills and knowledge to get started with Python.
Candidates for the DP-900 exam should possess foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. This exam is ideal for those starting to work with data in the cloud or are new to Azure.
The Azure Data Fundamentals exam is a chance to demonstrate understanding of data concepts in the cloud, Azure data services, data processing, and storage in Azure, along with data security and privacy. Candidates should be familiar with basic technology concepts related to database concepts, data processing, and data storage.
This exam is a stepping stone for further Azure role-based or specialty certifications in data and analytics but is not a prerequisite for advanced certifications.
Exam content includes:
The DP-900 exam assesses your ability to understand core data concepts, work with both relational and non-relational data on Azure, and describe an analytics workload in the Azure environment.
Candidates for the DP-203 exam should have substantial knowledge of data engineering techniques and practices on Microsoft Azure. This exam is targeted at data professionals who design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services.
The Data Engineering on Microsoft Azure exam validates expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures suitable for building analytics solutions.
Candidates are expected to be familiar with Azure services for data engineering, such as Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics.
Exam content includes:
The DP-203 exam measures your skills in implementing data solutions on Azure, focusing on data storage, data processing, data security, and ensuring the optimal performance of data systems.
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