Professional Certificate Course in Data Engineering
- 40 Hours Hybrid Sessions (Virtual & Self-paced)
- 60 Hours Streaming Hours & Coursework
- 30 Hours Real-Time Industry Projects
- 6 months Learning Management System access
- Blockchain enabled tamper-proof security certificate
513 Reviews
3117 Learners
Academic Partners & International Accreditations
Calendar-for-Virtual Interactive Classes
Start Date
Data Engineering Course
Total Duration
2 Months
Prerequisites
- Basic programming skills
- Python knowledge (recommended)
- SQL/NoSQL experience (desired)
- Basic Linux knowledge
Data Engineering Training Overview
The significant role of Data Engineers is to focus on processing data in a way that makes it easy for them to extract meaningful value from it. In this course, explore the various skills involved in laying down a successful foundation for digital transformation and facilitates the deployment of Data Science initiatives. Learn the tools and frameworks that data engineers need today to leverage AI, machine learning, and business intelligence skills to effectively manage data.
Data Engineering skills are constantly evolving with several skills unique to their profile. Learn advanced SQL techniques along with tools like Python, Keras, Pytorch, Spyder, etc. to handle a huge amount of data and solve real-world problems faster. Gain a thorough understanding of building data pipelines and integrating them smoothly with various data structures to keep pace with big data needs and implement data science and AI initiatives in your organizations.
What is Data Engineering?
To make data-driven decisions, data has to be collected, sorted, and analyzed giving results to quality data. This process of giving insights from data to businesses using advanced analytical tools is termed Data Engineering.
Data Engineering Training Learning Outcomes
Transforming data from a raw format to attractive analytical boards is a long journey that requires a dedicated environment known as data pipelines to obtain, process, and store data. Data Engineers are architects of these data platforms and give value to data analysis, business intelligence, and machine learning. In this course, you will learn to create and manage data infrastructures and build and deploy data pipelines to explore the various techniques to optimize large volumes of data and algorithms. You will also get to work with large and multi databases and learn how to create a Python data pipeline from scratch.
Find out how tree data structures speed up the processing of data analysis. As you move on, you will also learn to work with complex data that are collected from multiple sources to build data processing systems. This course will give you an understanding of the skills involved in descriptive and inferential analysis and how data processing is optimized using various tools like NumPy. Also, learn to analyze data in Python and take a dive into object-oriented programming (OOP). Understand data warehouse and data manipulation and learn how to use Big Query ML to build different kinds of ML models. Join the Data Engineering course to get a hands-on introduction to developing and building data pipelines. Also-
Block Your Time
40 hours
Hybrid Sessions (Virtual & Self-paced)
60 hours
Streaming Hours & Coursework
30 hours
Real-Time Industry Projects
Who Should Sign Up?
- Data professionals who work in conjunction with data science team
- Professionals aspiring to work on database designs and build data pipelines
- Professionals like ML developers, Data Engineers , Architects, Software developers
- Candidates from computer science and IT backgrounds aspiring to crack jobs in data engineering fields
- Professionals working as business intelligence analyst or database administrators
Data Engineering Course Modules
These modules are going to take you through the essential skills required to become a successful data engineer. You will learn how to gather, extract, transform, and then deploy data pipelines in the cloud. Using big data tools and real-time multiple databases you will gain expertise in skills of refining, and exchanging data. These modules are crafted keeping in mind the current industry trends and market requirements.
- Introduction Distributed Framework
- Apache Spark
- Core, SQL, MLlib
- Introduction to Apache Airflow
- Building Pipeline in Apache Airflow
- Deploy and Monitor Data Pipeline
- Production Data Pipeline
- Real Time Streaming on Cloud (Azure and GCP)
- Deploy and Monitor Data Pipelines
- Production Data Pipeline
- Connecting to Databases
- Data Lakes
- Populating a data lake
- Reading and Scanning the data lake
- Insert and Query a staging database
- Introduction to Pub/Sub Messaging System and Apache Kafka
- Building kafka Cluster
- Setup Zookeeper and Kafka Cluster
- Configuring and Testing Kafka Cluster
- Streaming Data with Apache Kafka
- Data Processing with Apache Spark and Databricks (public cloud)
Trends in Data Engineering Certification
A Data Engineer deals with delivering data analytics across various systems using data modeling, data storage, data transforming, and data maintenance. With high demand in the data engineering services market and with growth estimates from 18.3% to an unbelievable 31.5% p.a., consulting firms like Accenture and other tech companies like Cognizant are in dire need of data engineers who can capture big data, to govern, analyze, tag, and utilize. AI will take care of repetitive tasks in the field of quality assurance that will reduce the time consumed while performing these tasks.
With increasing development in software, data engineers will also be seen leveraging HTTP/3 in the layer of data collection for communicating across the web. For smooth exchange of data and distributed storage, the use of blockchain technology will also be seen in action along with the use of the AWS Lambda function by data engineers to process and execute data pipelines.
Course Fee Details
Online Interactive Sessions
Mode of training: Live Online
- 10+ hours of live online doubt clarification sessions
- Free access to USD 500 worth study materials - mindmaps, digital book on Data Science & many more
- Blockchain security enabled tamper-proof certificate(s)
- Real-life industry-based projects with AiSPRY
- 100% HRD Corp-claimable courses
- Free Learning Management System Access
MYR 3,600
Minimum instalments cost starting from: MYR 1,296
3786 Learners
637 Reviews
Employee Upskilling
Mode of training: Onsite or Live Online
- Minimum 10 participants per batch for Onsite training
- Pre & Post Assessment Services
- Blockchain security enabled tamper-proof certificate(s)
- Customised Curriculum with industry-relevant use cases
- 100% HRD Corp-claimable courses
- Free Learning Management System Access
Corporate Group DiscountsUp to 30% for 3 participants & above
3786 Learners
637 Reviews
Payment Accepted
All prices are applicable with 8% taxes.
How we prepare you
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Additional assignments of over 80+ hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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Lifetime LMS Access
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100% Practical Oriented Course
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on experience in a live project
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Offline Hiring Events
Call us Today!
+60 19-383 1378Data Engineering Course Panel of Coaches
Bharani Kumar Depuru
- Professional Experience: Over 18+ years in data analytics, digital transformation, and Industrial Revolution 4.0.
- Expertise: Specializes in data analytics and digital transformation.
- Corporate Clients: Worked with Deloitte, HPE, Amazon, Tech Mahindra, Cummins, Accenture, and IBM.
- Certifications: PMP, PMI-ACP, PMI-RMP, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner.
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Samson Swaroop Paturi
- Professional Experience: Over 17+ years in machine learning, AI, and big data/data lake systems.
- Expertise: Specializes in machine learning, AI, and big data.
- Experience: Worked with Capgemini, Florida Power & Light Company, ComTec Information Systems, and IBM.
- Certifications: Certified Scrum Product Owner (CSPO), Six Sigma Green Belt, ITIL Foundation Level, IBM logo Advisory Product Services Professional.
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Adityaveer Dhillon
- Professional Experience: Over 4+ years in data science and analytics.
- Expertise: Specializes in GenAI, data science, business analytics, quality management, and AI.
- Solutions Experience: Team Lead Data Specialist at 360DigiTMG; Data Scientist at AISPRY.
- Certifications: Python, SQL, Power BI, Data Science, and AI.
Data Engineering Certificate
Win recognition for your skills with the Data Engineering Certification. Stand out in this emerging yet competitive field with our certification.
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Alumni Speak
"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."
"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
Nur Fatin
Associate Data Scientist
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"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”
Thanujah Muniandy
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"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
Ann Nee, Wong
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"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
Mohd Basri
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"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Ashner Novilla
Our Alumni Work At
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FAQs for Data Engineering Certification Training
The Data Engineering course aims to provide aspirants with an in-depth understanding of all the essential tools and skills used by Data Engineers. The course provides hands-on learning of leading as Python, SQL, Spark, Kafka, and many more.
The training will be conducted in hybrid mode i.e., through the live instructor-led virtual sessions. The timings for both the sessions will be the same.
After the successful completion of 80% of your assignments, you are assigned to a live project where you will work with a group of students to bring the project to closure. After that, you will make a project presentation.
After the successful completion of the program, you will be awarded the Data Engineering certificate, powered by IBM.
This course is designed for students as well as working professionals. The basic requirement to undertake this course includes a degree in engineering, computer applications, or mathematics.
No, there are no extra charges for the certification. The cost is included in the package.
Not to worry, if you miss out on a session you can access the recorded session from the online Learning Management System (LMS).
We do not guarantee placements nevertheless, our placement cell supports you with resume building sessions, mock interviews, mentorship, and interview preparation. Our team also helps you launch your career by providing interview opportunities.
Becoming a data engineer in three months is challenging but possible with focused effort and dedication. Start by learning essential programming languages like Python, SQL, and possibly Scala. Familiarise yourself with data storage technologies such as Hadoop, Spark, and databases like MySQL or PostgreSQL. Take online courses or bootcamps tailored to data engineering, and work on projects to apply your skills practically. Networking and seeking mentorship can also accelerate your learning process.
When considering learning data engineering, 360DigiTMG offers comprehensive courses designed to equip individuals with the necessary skills and knowledge. Their programs typically cover key concepts in data engineering, programming languages such as Python and SQL, as well as relevant technologies like Hadoop, Spark, and data pipelines. Depending on the course structure and individual effort, completing such a program could significantly accelerate the learning process.
Jobs in Data Engineering In Malaysia
The demand for skilled Data Engineers is growing rapidly paving way for many job opportunities which involve collaboration with Data Scientists, Database Administrators, and Data Architects.
Salary for Data Engineers
Data Engineers are among the highest-paid professionals and perform various roles to support business applications by maintaining data infrastructure. The average salary of a Data Engineer with 1-5 years of experience can range from 5lacs to 8lacs per annum.
Projects in the field of Data Engineering
The various big data projects that data engineers can work on include processing unstructured data using Spark, analyzing datasets with songs to predict song preferences, or analyze an airline dataset using big data tools like Hadoop and Hive.
Role of Open Source Tools in Data Engineering
The open-source tools help to transform and extract data which is then used to implement pipeline models. The various tools of data engineering include Hadoop, SQL, and NoSQL, Apache Spark, Python, etc.
Modes Of Training For Data Engineering
The course in Data Engineering is designed to suit the needs of students as well as working professionals. We provide our students the option of interactive live online learning which is supported by theory and practical methodology.
Industry Applications of Data Engineering
Data Engineers can work in sectors like banking, marketing, education, healthcare, manufacturing, media, etc., and can work as a generalist data engineer, pipeline-centric data engineer, and database-centric data engineer depending upon the job requirement.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
Sana Ahsan
3 years agoI still remember going through websites for the Data Scientist course and reading reviews. That's when I finally found 360DigiTMG. Today, I will consider 360DigiTMG as the best one because it has offered me way more than any other training institute can do: Incredible curriculum, instructors, mentorship, and most job search skills and interviews best practices. One of the best decisions I made, I strongly recommend the Data Science program at 360DigiTMG to anyone looking for a Data Scientist/Analyst role. I am happy to announce that presently I am deputed as a Specialist Data Scientist at one of the top MNC.
Suriyaa Kumar
3 years agoI attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
Asyraaf Afandi
3 years agoI joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
Iqmal Harris
3 years agoThe courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
Zarif Iqram
2 years agoI worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
360DigiTMG - 360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50740 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Data Engineering Certification Course Training in Other Locations - Data Engineering Course in Malaysia, Data Engineering in Malaysia, Data Engineering Courses, Data Engineer Course, Data Engineer Malaysia, Data Engineering Course in Bangalore, Data Engineering Course in Hyderabad, Data Engineer Certification, Data Engineering, In Malaysia, the Data Engineering Course acts as the gateway to uncovering valuable insights from extensive datasets. It serves as the communication channel through which data conveys essential information to address contemporary business requirements. Pursuing certification guarantees mastery in crafting, executing, and refining data solutions to meet evolving demands..
