Learning Data Engineer will open doors for many career paths. After completing this course, you may want to explore our specialised courses to secure a high paying job. Following courses will make you eligible to join our job guarantee program. Job guarantee is an optional add-on paid program which will help you to find a suitable job. Please visit our Job Guarantee page to know more about it.
Eligible Specialised programs to enroll after completing this course:
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.
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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.
Batch 01
09:00 am – 11:00 am
(Tue, Thu)
Batch 02
12:00 pm – 02:00 pm
(Tue, Thu)
Batch 03
03:00 pm – 05:00 pm
(Tue, Thu)
Batch 04
05:30 pm – 07:30 pm
(Tue, Thu)
Batch 01
08:00 am – 10:00 am
(Sat, Sun)
Batch 02
10:00 am – 12:00 pm
(Sat, Sun)
*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.
We love to answer questions, empower students, and motivate professionals. Feel free to fill out the form and clear up your doubts related to our Data Engineer Course.
Following are the steps involved in the LSET’s project-based learning;
Step 1: Project Idea Discussion
In this step, students get introduced to the problem and develop a strategy to build the solution.
Step 2: Build Product Backlog
This step requires students to enhance the existing starter product backlog available in the project. This helps students to think about real-life business requirements and formulate them in good user stories.
Step 3: Design Releases and Sprints
In this step, students define software releases and plan sprints for each release. Students must go through sprint planning individually and learn about story points and velocity.
Step 4: Unit and Integration Tests
In this step, students learn to write unit tests to ensure every application part works fine.
Step 5: Use CICD to Deploy
In this step, students learn to use CICD (Continuous Integration Continuous Delivery) pipeline to build their application as a docker image and deploy it to Kubernetes.
London has been a leading international financial centre since the 19th century. In recent years, London has seen many FinTech start-ups and significant innovations in the banking sector. This project aims to introduce students to the financial industry and technologies used to handle billions of daily transactions. As part of this project, students will learn the current technological advances and build up their knowledge to start a simple banking application. This application uses agile project management practices to build basic functionality. Students will be presented with user stories to create the initial project backlog. Students need to enhance this backlog by adding more relevant user stories and working on them.
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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