Data Engineer

Course ID
DE
Department
Software Engineering
Campus
1 Cornhill
Level
Certificate
Method
Lecture, Project
Duration
3 Months
data engineer
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Optional Add-on Programs

Job Guarantee Program

The Job Guarantee program is available only to candidates who enroll in Option 6 (Project and Industrial Training and Paid Internship Program + Pro Plan). It is important to note, however, that the Job Guarantee program has its own selection criteria, so not everyone may be considered for the program. To learn more about the Job Guarantee program, please visit Job Guaranteed Software Courses

Pro Plan Card

LSET PRO PLAN

Are you eager to enter the workforce fully prepared? Look no further than our LSET PRO PLAN! This is an add-on program that you can select during your course enrolment, it offers a personalised learning experience that helps you succeed in your course, build your technical portfolio, and advance your professional journey.
Curious about how to embark on this journey? Simply “click” here to learn more and kickstart your professional development with us!

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.

Apply now to become a professional Python developer

Are you looking for corporate training?
We tailor our courses to meet the specific needs of your team. If you would like to discuss your training requirements, please email [email protected] today.
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Java Course feature

Prerequisites have been met

Options
Topic
Add-On
Duration
Options
Option 1
Topic
Data Engineer
Add-On
Duration
3 Months
Options
Option 2
Topic
Data Engineer
Add-On
Project (Online)
Duration
5 Months
Options
Option 3
Topic
Data Engineer
Add-On
Project (Online) &
Industrial Training and Paid Internship Program (Remote)
Duration
12 Months

Tuition Fees

Options
Course Pack
Home (UK) & International
Online
Home (UK)
Classroom
International
Classroom
Options
Option 1
Course Pack
Data Engineer – (3 Months)
Home & International Online
Pay Upfront (with 20% Disc): £1,860
Pay Per Module: 
Number of Module: 2
Per Module Fee: £1,116
Home Classroom
Pay Upfront (with 20% Disc): £3,660
Pay Per Module:
Number of Module: 2
Per Module Fee: £2,196
International Classroom
£6,060
Options
Option 2
Course Pack
Data Engineer + Project (Online) – (5 Months)
Home & International Online
Pay Upfront (with 20% Disc): £3,060
Pay Per Module: 
Number of Module: 3
Per Module Fee: £1,224
Home Classroom
Pay Upfront (with 20% Disc): £6,060
Pay Per Module: 
Number of Module: 3
Per Module Fee: £2,424
International Classroom
£8,460
Options
Option 3
Course Pack
Data Engineer + Project (Online) + Industrial Training and Paid Internship Program (Remote) – (12 Months)
Home & International Online
Pay Upfront (with 20% Disc): £6,060
Pay Per Module:
Number of Module: 10
Per Module Fee: £728
Home Classroom
Pay Upfront (with 20% Disc): £13,260
Pay Per Module: 
Number of Module: 10
Per Module Fee: £1,592
International Classroom
£15,660
Options
Option 4
Course Pack
Data Engineer + Pro Plan
Home & International Online
Pay Upfront (with 20% Disc): £2,340
Pay Per Module:
Number of Module: 2
Per Module Fee: £1,404
Home Classroom
Pay Upfront (with 20% Disc): £4,140
Pay Per Module:
Number of Module: 2
Per Module Fee: £2,484
International Classroom
£6,540
Options
Option 5
Course Pack
Data Engineer + Project (Online) + Pro Plan
Home & International Online
Pay Upfront (with 20% Disc): £3,540
Pay Per Module:
Number of Module: 3
Per Module Fee: £1,416
Home Classroom
Pay Upfront (with 20% Disc): £6,540
Pay Per Module:
Number of Module: 3
Per Module Fee: £2,616
International Classroom
£8940
Options
Option 6
Course Pack
Data Engineer + Project (Online) + Industrial Training and Paid Internship Program (Remote) + Pro Plan
Home & International Online
Pay Upfront (with 20% Disc): £6,540
Pay Per Module:
Number of Module: 10
Per Module Fee: £785
Home Classroom
Pay Upfront (with 20% Disc): £13,740
Pay Per Module:
Number of Module: 10
Per Module Fee: £1,649
International Classroom
£16,140
   Note: Our Industrial Training and Internship program includes a guaranteed 6 months paid internship (from 10 hours to 40 hours per week) with a technology company. Due to visa restrictions, some international students may not be able to participate in this program.

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.

Complementary Workshops

Git Management

Agile Project Management

Agile Project Management

Team Building

Personality Development

Interview Preparation

Course Information

Course Intakes

September

End: December

January

End: April

May

End: August

Entry Criteria

  • No prior programming knowledge
  • Basic proficiency with computers
  • Have access to personal laptop
  • Ability to complete assignments on time
  • Ability to follow instructions in English
  • Ability to work in Group
  • If a potential student’s first language is not English, they must also reach the English Language requirements of either any one of the following - IELTS 5.5 or NCC Test or GCE “O” Level English C6.

Course Highlights

  • Hands-on Sessions
  • Project-based Learning
  • Live or Offline Capstone Project
  • Real world development experience
  • Industry Mentors
  • Interactive Teaching Methodologies

Evaluation Criteria

  • 18 Coding exercises
  • 5 Assignments
  • 5 Quizzes
  • Capstone Project
  • Group activities
  • Presentations

Learning Objectives

  • Data & Database Design
  • How To Design a Data Base
  • MySQL & MYSQL Workbench
  • MySQL Basics
  • GROUP BY
  • Excel For Beginners
  • Excel Data Analysis Basics
  • Introduction To Python & Jupyter Notebook
  • Numpy: Data science and analysis Using Python 1

Weekday Batches

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)

Weekend Batches

Batch 01
08:00 am – 10:00 am
(Sat, Sun)

Batch 02
10:00 am – 12:00 pm
(Sat, Sun)

Hands-on Workshops

Interview Preparation

CV Preparation

Personality Development

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Become a Data Engineer by learning how to use Excel, Python, Jupyter Notebook, Numpy, Microsoft Azure, Alteryx, and more. The LSET will cover continuous development, continuous integration, continuous testing, and continuous monitoring.

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Course Content

Browse the LSET interactive and practical curriculum

Introduction

  • Course Introduction
  • How to make the best of this course
  • Course Induction

Data & Database Design

  • What is Data ?
  • What is Database ?
  • What is DBMS?
     

How To Design a Data Base

  • 7 Steps For Designing A Database
  • Design A Database With Single Table
  • Design Database With Multiple Table Part 1
  • Design Database With Multiple Table Part 2
  • Design Database With Multiple Table Part 3
     

MySQL & MYSQL Workbench

  • Install MySQL
  • Use MYSQL Workbench

MySQL Basics

  • CREATE DATABASE
  • CREATE TABLE
  • INSERT DATA
  • FETCH DATA FROM TABLE (SELECT Statement)
  • Use Basic Where Conditions
  • REMOVE DATA
  • UPDATE DATA

GROUP BY

  • Group By
  • Demo: Group By

Excel For Beginners

  • Introduction To Excel
  • Add Numbers In Excel
  • Save Time By Filling Cells Automatically
  • Split Data Using Flash Fill in Excel

Excel Data Analysis Basics

  • Excel Sort with 1 criteria
  • Excel Sort with 2 or more criteria
  • Excel Sort by color
  • Excel Filter Data Based On Single Column
     

Introduction To Python & Jupyter Notebook

  • Installing Python And Anaconda
  • Opening Jupyter Notebook
  • Shortcuts In Jupyter notebook

Numpy: Data science and analysis Using Python 1

  • ndarray
  • Create Numpy ndarray
  • Numpy Index (Single Dimensional Array Indexing)

Mastering Power BI

  • Install Power BI
  • Data Source
  • Import Data Into Power BI
  • Power BI Visualization: Add Slicers

Data Engineering on Microsoft Azure Part 2

  • Create Azure Data Lake Gen 2 And Azure Databricks
  • Register an application with Azure AD and create a service principal

Introduction To ETL Using Alteryx

  • Install Alteryx Designer Studio
  • Introduction To Alteryx Designer Studio
  • Creating Your first Application Using Alteryx ETL

*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

We offer weekday and weekend batch choices so you can up-skill yourself while keeping your full-time job. Both batches follow the same curriculum and learning style. However, weekend batches take a little faster approach.

Weekdays

Weekend

Weekdays Batch Schedule
DAY
MON
TUE
WED
THU
FRI

DAY
Week1

MON
  • Student Introduction
  • Course Introduction
  • How to make the best of this course
Student Services Welcome Call

TUE

WED
  • Student Introduction
  • Course Introduction
  • How to make the best of this course

THU

FRI

DAY
Week2

MON
  • Data & Database Design

TUE

WED
  • Data & Database Design
Quiz

THU

FRI

DAY
Week3

MON
  • How To Design a Data Base
Student Feedback

TUE

WED
  • How To Design a Data Base

THU

FRI
Assignment

DAY
Week4

MON
  • How To Design a Data Base
Personality Development

TUE

WED
  • How To Design a Data Base
Quiz

THU

FRI

DAY
MON
TUE
WED
THU
FRI

DAY
Week1

MON
  • MySQL & MYSQL Workbench

TUE

WED
  • MySQL & MYSQL Workbench

THU

FRI
Assignment

DAY
Week2

MON
  • MySQL Basics
Interview Preparation

TUE

WED
  • MySQL Basics
Quiz

THU

FRI

DAY
Week3

MON
  • GROUP BY
Student Feedback
Project Introduction Self Study

TUE
Project Introduction Self Study

WED
  • GROUP BY
Project Introduction Self Study

THU
Project Introduction Self Study

FRI
Assignment
Project Introduction Self Study

DAY
Week4

MON
  • Excel For Beginners
Interview Preparation
Project Introduction Self Study

TUE
Hands-on Workshops
Project Build-up and Environment Setup

WED
  • Excel For Beginners
Quiz
Project Build-up and Environment Setup

THU
Product Backlog and Sprint Planning

FRI
Product Backlog and Sprint Planning

DAY
MON
TUE
WED
THU
FRI

DAY
Week1

MON
  • Excel Data Analysis Basics
Interview Preparation
User Stories Execution and Development

TUE
User Stories Execution and Development

WED
  • Excel Data Analysis Basics
User Stories Execution and Development

THU
User Stories Execution and Development

FRI
Assignment
User Stories Execution and Development

DAY
Week2

MON
  • Introduction To Python & Jupyter Notebook
Student Feedback
User Stories Execution and Development

TUE
Hands-on Workshops
User Stories Execution and Development

WED
  • Introduction To Python & Jupyter Notebook
Quiz
User Stories Execution and Development

THU
User Stories Execution and Development

FRI
User Stories Execution and Development

DAY
Week3

MON
  • Numpy: Data science and analysis Using Python 1
Interview Preparation
User Stories Execution and Development

TUE
User Stories Execution and Development

WED
  • Numpy: Data science and analysis Using Python 1
Testing, Deployment and Completion

THU
Testing, Deployment and Completion

FRI
Assignment
Testing, Deployment and Completion

DAY
Week4

MON
  • Mastering Power BI
Testing, Deployment and Completion

TUE
Testing, Deployment and Completion

WED
  • Mastering Power BI

Testing, Deployment and Completion

THU
Capstone Project Presentation

FRI

 

 

Course Completion Session
Alumni Welcome Session
Awards Ceremony

Weekend Batch Schedule
DAY
MON
TUE
WED
THU
FRI
SAT
SUN

DAY
Week1

MON
Student Services Welcome Call

TUE

WED

THU

FRI

SAT
  • Student Introduction
  • Course Introduction
  • How to make the best of this course

SUN
  • Student Introduction
  • Course Introduction
  • How to make the best of this course

DAY
Week2

MON

TUE

WED

THU

FRI

SAT
  • Data & Database Design
Quiz

SUN
  • Data & Database Design

DAY
Week3

MON
Student Feedback

TUE

WED

THU

FRI

SAT
  • How To Design a Data Base

SUN
  • How To Design a Data Base
Assignment

DAY
Week4

MON
Personality Development

TUE

WED

THU

FRI

SAT
  • MySQL & MYSQL Workbench
Quiz

SUN
  • MySQL & MYSQL Workbench

*Course Schedule is subject to change. Students will be informed about the final schedule in the course induction class.

Having Doubts?

Contact LSET Counsellor

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.

Best Career Paths

Entry-level Data Engineer

A data engineer is responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts.

Junior Data Engineer

Junior data engineers primarily work on fixing bugs and other small engineering tasks. They do not get to build database systems.

Senior Data Engineer

The Senior Data Engineer will oversee the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment.

Chief Data Officer

CDOs are responsible for managing the organization's data and analytics operations -- including the architecture, user requirements, software development

Data Architect

Data architects are IT professionals who leverage their computer science and design skills to review and analyze the data infrastructure of an organization, plan future databases

Data Infrastructure Manager

Data Infrastructure Managers engage in managerial tasks in addition to overseeing colleagues, including budgeting, forecasting and scheduling, as well as attending meetings with senior

Top Companies Hiring Python Developers

Google

GOOGLE

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CISCO

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SKY

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UBS

Metro Etro Bank

METRO BANK

Faculties & Mentors

Mayur Ramgir

Mayur Ramgir

Mentor Panel

Data Engineer Roles and Responsibilities

  • Work on Data Architecture
  • Collect Data
  • Conduct Research
  • Improve Skills
  • Create Models and Identify Patterns
  • Automate Tasks

About the Course

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.

The Course Provides Shared Expertise by

LSET Trainers

LSET Trainers

Industry Experts

Industry Experts

Top Employers

Top Employers

Skills You will Gain

  • Extract, Transform, Load (ETL) Tools
  • Cloud Platforms
  • Data Warehousing
  • Stream Processing Systems
  • SQL and NoSQL Databases
  • Data Quality and Data Governance
  • Big Data Processing Frameworks
  • Workflow and Pipeline Orchestration

Complete Learning Experience

This course provides a hands-on, guided learning experience to help you learn the fundamentals practically.
  • We constantly update the curriculum to include the latest releases and features.
  • We focus on teaching the industry's best practices and standards.
  • We let you explore the topics through guided hands-on sessions.
  • We provide industry professional mentor support to every student.
  • We give you an opportunity to work on real world examples.
  • Work with hands-on projects and assignments.
  • We help you build a technical portfolio that you can present to prospective employers.

Reasons to Choose LSET

  • Interactive live sessions by industry experts.
  • Practical classes with project-based learning with hands-on activities.
  • International learning platform to promote collaboration and teamwork.
  • Most up-to-date course curriculum based on current industry demand.
  • Gain access to various e-learning resources.
  • One-to-one attention to ensure maximum participation in the classes.
  • Lifetime career guidance to get the students employed in good companies.
  • Free lifetime membership to the LSET Alumni Club

What Will Be Your Responsibilities?

  • Work creatively in a problem-solving environment.
  • Ask questions and participate in class discussions.
  • Work on assignments and quizzes promptly.
  • Read additional resources on the course topics and ask questions in class.
  • Actively participate in team projects and presentations.
  • Work with the career development department to prepare for interviews
  • Respond promptly to the instructors, student service officers, career development officers, etc.
  • And most importantly, have fun while learning at LSET.
Your Responsibilities

How Does Project-Based Learning Work?

LSET project-based learning model allows students to work on real-world applications and apply their knowledge and skills gained in the course to build high-performing industry-grade applications. As part of this course, students learn agile project management concepts, tools, and techniques to work on the assigned project collaboratively. Each student completes project work individually but is encouraged to enhance their solution by collaborating with their teammates.

Following are the steps involved in the LSET’s project-based learning;

  1. Step 1: Project Idea Discussion

    In this step, students get introduced to the problem and develop a strategy to build the solution.

  2. 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.

  3. 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.

  4. Step 4: Unit and Integration Tests

    In this step, students learn to write unit tests to ensure every application part works fine.

  5. 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.

Capstone Project

LSET gives you an opportunity to work on the real world project which will greatly help you to build your technical portfolio

Project Topic: Online Banking

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.

Learning Outcome

  • Students will learn to work in an agile environment
  • Students will learn the agile project management terms used in the industry, like product backlog, user stories, story points, epics, etc.
  • Students will learn to use a Git repository and understand the concepts like commit, pull, push, branch, etc.
  • Students will learn to communicate in a team environment and effectively express their ideas.

Guidance and Help

A dedicated project coordinator who can mentor students on the process will be assigned to this project. Students can also avail of the instructor’s hours as and when needed. LSET may get an industry expert with subject-specific experience to help students understand the industry and its challenges.

Execution Process

This project will be carried out in steps. Each step teaches students a specific aspect of the subject and development paradigm. Following are the steps students will follow to complete this project.

Step 1: Project Introduction Self Study [6 days]

In the first step, students will learn about the financial industry and review the project introduction documentation to build up the subject knowledge. This is a self-learning stage; however, instructor hours are available if required.

Step 2: Project Build-up and Environment Setup [2 days]

In this step, students are required to follow the project guide to set up the development environment. The project document guides students to find and connect to the LSET Git repository and install the necessary libraries or tools.

Step 3: Product Backlog and Sprint Planning [2 days]

In this step, students will use the existing product backlog and enhance it per their project scope. Students can seek help from the project coordinator and the instructor. The project coordinator will help students do sprint planning and assign story points to the stories. This process is meant to give students real-world work environment experience. Students can consider this a mock exercise on agile project management practices.

Step 4: User Stories Execution and Development [12 days]

Students will work on the user stories identified in the Step 3 process in this step. Students will write code and algorithms to complete the development objectives. The project coordinator will be available to help students to guide them on the development and answer any questions they may have. Students can also discuss this with the instructor.

Step 5: Testing, Deployment and Completion [5 days]

In this step, students will test and deploy the application to the cloud environment. Students will experience the deployment process in the cloud and learn the best practices. After the successful deployment, students will present their project to the instructor and the external project reviewer. Feedback will be given to the students. Students will have one week to work on the feedback and submit the final copy of the project, which will be sent to the external examiner for evaluation.

Project Presentation

LSET emphasises preparing students for the work environment by allowing them to learn the required soft skills. After completing the project, students must present their work to the instructor and an invited project reviewer panel. Please note that the assigned external examiner will not be part of this panel and hence will not know about the students. This ensures an unbiased assessment by the external examiner. This exercise aims to allow students to experience an environment they may face in their actual job. Also, it gives them a chance to get feedback from industry experts who can guide students on various parts of the project. This will help students to learn and fix anything they find necessary in their project. This ensures quality output and allows students to learn about industry requirements.

The instructor and the project reviewer panel will assess the students on the following;

Project Repository on GitHub [10 points]: The instructor will ensure that the students have uploaded the project repository to the LSET’s GitHub account per the guidelines in the project requirement documentation. Full points will be awarded if the repository is appropriately set up per the instructions.

Presentation Skills [20 points]: Students must present their work in the given timeframe. Full points will be awarded if students cover everything needed to deliver their work in the given timeframe.

Communication Skills [20 points]: Students must present their work in a manner understandable by all the participants. More focus will be given to how students communicate, not the language. Full points will be awarded if students can share their work correctly.

Evaluation Criteria

LSET promotes a transparent and unbiased evaluation process. All the external examiners will follow a set process to grade students. No student’s personal or identifying information will be shared with the external examiners, so they will not know about the person they are grading. They will only get the project files and grading guidelines to follow. This will ensure equal quality standards across the institute.

Following are some critical areas the LSET external examiners will be grading on.

Project Documentation [10 points]: Project documentation is filed correctly with the information which can be used to understand the project work. Students can use the supplied project documentation template to fill up the data. External examiner to confirm if all the information is filled up. Full points will be awarded if all the sections are covered.

Project Structure [10 points]: Students must follow the proper structure while developing their projects. This structure is being taught and covered in the project requirement documentation. External examiner to confirm if the project files are correctly structured. Full points will be awarded if the structure meets the given guideline.

Solves Basic Problem [50 points]: Students must ensure that they implement all the requirements in the project documentation. External examiner to confirm if the project solves the given problem. Full points will be awarded if the students include everything asked in the project requirement.

Innovation [20 points]: Students are encouraged to bring new ideas into their development. They can improve the design, use new design patterns, code with a better coding style, or add a feature. External examiner to confirm if the students have added more than the requirement to improve the design or solution. The new addition must include a new feature and should not be similar to the requirements given. Full points will be awarded if the external examiner finds an innovation or see students going beyond the asked requirements.

Best Practices [20 points]: Students must follow the best practices in their development. This will help them to become a quality resource for their prospective employer. External examiner to confirm if the supplied best practices are followed in the project. Full points will be awarded if the best practices are properly implemented.

Performance Consideration [20 points]: Students must consider performance while working on their projects. Performance is one of the critical industry requirements. External examiner to confirm if the student thought the performance improvements in the project. Full points will be awarded if the external examiner sees efforts taken to consider performance aspects in the development.

Security Structure [20 points]: Students need to consider the security aspect If applicable in the design and development. External examiner to confirm if the security consideration is appropriate in this project; if it is applicable, the examiner to verify if the student has considered the security elements in the project. Full points will be awarded if the external examiner sees efforts taken to assess the security aspect of the development.

Benefits of LSET Certificate

Earning the LSET Certificate means you have demonstrated hard-working capabilities and learnt the latest technologies by completing hands-on exercises and real-world projects.

Following are some of the traits employers can trust you have built up through your course;
  • You know how to work in a team environment and communicate well.
  • You know the tools which are necessary for your desired job.
  • You know how to use the latest technologies to develop technologically advanced solutions.
  • You have developed problem-solving skills to navigate complex problem scenarios and find the right solutions.
  • You are now ready to take on the challenge and help your prospective employer to build the desired solutions.
Benefits of LSET Certificate
What to expect after completing the course

What to expect after completing the course?

After earning your certificate from LSET, you can join the LSET’s Alumni club. There are countless benefits associated with the Alumni Club membership. As a member of LSET Alumni, you can expect the following;
  • LSET to hold your hand to find a successful career
  • Advice you on choosing the right job based on your passion and goals
  • Connect you with industry experts for career progression
  • Provide you opportunities to participate in events to keep yourself updated
  • Provide you with a chance to contribute to the game-changing open-source projects
  • Provide you with a platform to shine by allowing you to speak at our events

Tools & Technologies You Will Learn from This Course

GIT

SQL

GitHub

Data Warehousing

gitlab

Data Architecture

Python

Operating System

PyCharm

Machine Learning

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Start Your Journey to Becoming a Professional Data Engineer

LSET could provide the perfect headstart to start your career in Data Engineer.

Apply Now

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