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Professional Qualification
Short Course in Practical Data Engineering: Big And Cloud Computing
Boost your career in data engineering with our Short Course in Practical Data Engineering: Big And Cloud Computing. Gain essential skills in big data & cloud computing. £135 billion market by 2

Programme Overview for the Short Course in Practical Data Engineering: Big And Cloud Computing
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Learning Outcomes
Learning Outcomes for the Short Course in Practical Data Engineering: Big And Cloud Computing
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Course Benefits
Below are the Course Benefits for the Short Course in Practical Data Engineering: Big And Cloud Computing
Quality Content
Our curriculum is developed in collaboration with industry leaders to ensure you gain practical, job-ready skills that are valued by employers worldwide.
Flexible Learning
Enjoy the freedom to learn at your own pace, from anywhere in the world, with our flexible online learning platform designed for busy professionals.
Expert Support
Benefit from personalized support and guidance from our expert team, including academic assistance and career counseling to help you succeed.
Latest Curriculum
Stay ahead with a curriculum that is constantly updated to reflect the latest trends, technologies, and best practices in your field.
Career Advancement
Unlock new career opportunities and accelerate your professional growth with a qualification that is recognized and respected by employers globally.
Expert Faculty
Our courses are designed and developed by industry experts who have real world expertise, ensuring you receive the highest quality education.
Topics Covered
Topics Covered in the Short Course in Practical Data Engineering: Big And Cloud Computing
Why this course
Why the Short Course in Practical Data Engineering: Big And Cloud Computing is the right choice for you
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Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
Clear and professional communication
Recently updated!
August 2025
Frequently Asked Questions
Everything you need to know about the Short Course in Practical Data Engineering: Big And Cloud Computing. Can't find the answer you're looking for? Please reach out to our friendly team.
There are no formal entry requirements for the Short Course in Practical Data Engineering: Big And Cloud Computing. You just need:
- A good command of English language
- Access to a computer/laptop with internet
- Basic computer skills
- Dedication to complete the course
We offer two flexible learning paths to suit your schedule:
- Fast Track: Complete in 1 month with 3-4 hours of study per week
- Standard Mode: Complete in 2 months with 2-3 hours of study per week
You can progress at your own pace and access the materials 24/7.
You will have access to:
- 24/7 access to course materials and resources
- Technical support for platform-related issues
- Clear course structure and learning materials
Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.
Assessment for the Short Course in Practical Data Engineering: Big And Cloud Computing is done through:
- Multiple-choice questions at the end of each unit
- You need to score at least 60% to pass each unit
- You can retake quizzes if needed
- All assessments are online
Upon successful completion of Short Course in Practical Data Engineering: Big And Cloud Computing, you will receive:
- A digital certificate from the London School of Business and Research for the Short Course in Practical Data Engineering: Big And Cloud Computing
- Option to request a physical certificate
- Transcript of completed units
- Certification is included in the course fee
We offer immediate access to our course materials through our open enrollment system. This means:
- The course starts as soon as you pay course fee, instantly
- No waiting periods or fixed start dates
- Instant access to all course materials upon payment
- Flexibility to begin at your convenience
This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.
The Short Course in Practical Data Engineering: Big And Cloud Computing is designed as a comprehensive self-study program that offers:
- Structured learning materials accessible 24/7
- Comprehensive course content for self-paced study
- Flexible learning schedule to fit your lifestyle
- Access to all necessary resources and materials
This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.
This course provides knowledge and understanding in the subject area, which can be valuable for:
- Enhancing your understanding of the field
- Adding to your professional development portfolio
- Demonstrating your commitment to learning
- Building foundational knowledge in the subject
- Supporting your existing career path
Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.
This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/body.
What you will gain from this course:
- Knowledge and understanding of the subject matter
- A certificate of completion to showcase your commitment to learning
- Self-paced learning experience
- Access to comprehensive course materials
- Understanding of key concepts and principles in the field
While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.
The Short Course in Practical Data Engineering: Big And Cloud Computing offers a focused learning experience with:
- Comprehensive course materials covering essential topics
- Flexible learning schedule to fit your needs
- Self-paced learning environment
- Access to course content for the duration of your enrollment
- Certificate of completion upon finishing the course
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What People Say About Us
Hear from our students about their experience with the Short Course in Short Course in Practical Data Engineering: Big And Cloud Computing at LSBR.
James Smith
United KingdomI can't express how pleased I am with the 'Short Course in Practical Data Engineering' at London School of Business and Research. As a professional looking to upskill in Big and Cloud Computing, this course checked all the boxes for me. The course content was well-structured, and the materials were relevant and up-to-date. I particularly appreciated the hands-on labs, which allowed me to apply the theoretical concepts practically. The knowledge I gained from this course has already made a significant impact on my current role, and I highly recommend it to anyone looking to expand their data engineering skillset.
Clara López
SpainThis course exceeded my expectations. As someone new to data engineering, the course provided a comprehensive introduction to big and cloud computing. The examples and practical exercises were invaluable in helping me understand complex concepts. Although some of the materials could be a bit more polished, the overall learning experience was positive. I'm excited to continue exploring this field and applying what I've learned.
Taro Nakamura
JapanI recently completed the 'Short Course in Practical Data Engineering' at London School of Business and Research, and I am thrilled with the outcome. The course covered a wide range of topics, from data storage and processing to cloud computing. The practical knowledge and skills I gained were immediately applicable to my work, and I have already seen improvements in my productivity and efficiency. I highly recommend this course to anyone interested in data engineering.