Certificate in Data Engineering for Data Science

Monday, 23 December 2024 00:08:41

International applicants and their qualifications are accepted

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Overview

Overview

Our Certificate in Data Engineering for Data Science is designed to equip learners with the essential knowledge and skills needed to thrive in today's fast-paced digital world. This course offers flexibility and accessibility for students worldwide, allowing them to study at their own pace and convenience.

Through a comprehensive curriculum, students will gain a deep understanding of data engineering principles and techniques, preparing them for a successful career in data science. With no case studies or practicals involved, this course focuses on providing theoretical knowledge and practical skills that are highly relevant in the industry.

Embark on a transformative journey with our Certificate in Data Engineering for Data Science program. Dive deep into the world of data engineering and gain the skills needed to design, build, and maintain data pipelines that power cutting-edge data science projects. Through hands-on projects and real-world case studies, you will master essential tools and technologies such as SQL, Python, Hadoop, and Spark. Our expert instructors will guide you through the intricacies of data modeling, ETL processes, and data warehousing, equipping you with the expertise to excel in the fast-growing field of data science. Take the first step towards a rewarding career in data engineering today!

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Introduction to Data Engineering
• Data Modeling and Database Design
• Big Data Technologies
• Data Warehousing and ETL Processes
• Data Quality and Governance
• Machine Learning for Data Engineers
• Cloud Computing for Data Engineering
• Real-time Data Processing
• Data Visualization and Communication
• Capstone Project in Data Engineering

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@LSIB.co.uk

+44 (0) 20 3608 0144



Career path

Data Engineer
Data Analyst
Database Administrator
Business Intelligence Developer
Data Scientist
Machine Learning Engineer

Key facts about Certificate in Data Engineering for Data Science

- Gain expertise in data engineering for data science through hands-on projects and real-world applications
- Learn essential skills such as data manipulation, data modeling, and data visualization
- Acquire knowledge in programming languages like Python and SQL for data analysis
- Understand how to design and implement data pipelines for efficient data processing
- Develop proficiency in working with big data technologies like Hadoop and Spark
- Explore advanced topics in data engineering, including machine learning integration and cloud computing
- Benefit from industry-relevant curriculum designed to meet the demands of the data science field
- Receive personalized feedback and guidance from experienced instructors
- Access to a supportive online learning community for networking and collaboration
- Enhance your career prospects with a specialized certificate in data engineering for data science.

Why this course?

Industry Demand Relevance
Data engineering roles in the UK have seen a 50% increase in demand over the past year, with an average salary of £60,000 per annum. Data engineering skills are crucial for data science projects, as they involve collecting, storing, and processing large volumes of data efficiently.
Companies are willing to pay a premium for professionals with data engineering expertise, with salaries for certified individuals reaching up to £80,000 per year. The Certificate in Data Engineering for Data Science provides hands-on training in tools and technologies essential for data engineering roles, making graduates highly sought after in the job market.

Who should enrol in Certificate in Data Engineering for Data Science?

This course is designed for individuals looking to enhance their skills in data engineering specifically for data science applications. Whether you are a data analyst, data scientist, or aspiring to work in the field of data science, this certificate program will provide you with the necessary tools and knowledge to excel in this rapidly growing industry.

Data Analysts Data Scientists Aspiring Data Science Professionals
According to the Office for National Statistics, there are over 96,000 data analysts employed in the UK. The demand for data scientists in the UK has increased by 231% over the past 5 years. The average salary for data science professionals in the UK is £50,000 per year.

By enrolling in this course, you will gain a competitive edge in the job market and be well-equipped to tackle the challenges of data engineering in the context of data science.