To become a data engineer, you should be very good at SQL, and you should know those programming languages used for statistical modeling and data analysis. Also you should know, how to design a data warehousing solutions, and how to build data pipelines.
The LSET data engineer course is designed to give you the skills and knowledge you need to excel in the dynamic field of data engineering. As a data engineer, you will play a vital role in managing and optimising data infrastructure, enabling organisations to make data-driven decisions.
Throughout this course, we will delve into various aspects of data engineering, starting with an introduction to data management principles and best practices. We will explore the fundamentals of database systems, data modelling, and schema design, providing you with a solid foundation for effective data organisation.
This course will teach you how to design and implement efficient data pipelines, employing technologies such as ETL (Extract, Transform, Load) processes, batch processing frameworks, and streaming platforms. We will delve into data integration techniques, enabling you to gather data from disparate sources and unify it for analysis and insights.
In addition, we will cover essential concepts related to data quality, governance, and security. You will understand how to ensure the integrity, reliability, and privacy of data, adhering to industry standards and regulations.
By the end of this course, you will have a comprehensive understanding of data engineering principles, tools, and techniques. You will be equipped to design scalable and robust data infrastructures, optimise data pipelines, and contribute to successfully implementing data-driven strategies within organisations.
*Modules of our curriculum are subject to change. We update our curriculum based on the new releases of the libraries, frameworks, Software, etc. Students will be informed about the final curriculum in the course induction class.
*Course Schedule is subject to change. Students will be informed about the final schedule in the course induction class.
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Following are the steps involved in the LSET’s project-based learning;
LSET emphasises project-based learning as it allows the students to master the course content by going through near real-world work experience. LSET projects are carefully designed to teach the industry-required skills and mindset. It motivates the students on various essential aspects like learning to work in teams, improving communication with peers, taking the initiative to look for innovative solutions, enhancing problem-solving skills, understanding the end user requirements to build user-specific products, etc.
Capstone Projects build students’ confidence in handling projects and applying their newly learned skills to solve real-world problems. This allows the students to reflect upon their learning and find the opportunity to get the most out of the course. Learn more about Capstone Projects here.
Start Your Journey to Becoming a Professional Data Engineer
LSET could provide the perfect headstart to start your career in Data Engineer.
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