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Instructor-led training
Big Data for Beginners Training in London and Live Online

Big Data for Beginners

Understand big-data concepts, platforms and practical use cases. Explore data sources, processing approaches, quality, visualisation and responsible handling without requiring previous programming experience.

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Price:
Price on request

Contact us for current fees, dates and exam arrangements.

Beginner

Have basic computer skills and an interest in data.

3 days to complete
Available online
& in class

Select your preferred method

Course overview
Course dates
  • In Classroom
  • Live Virtual
  • 1 - 1 Training
  • Corporate Training
  • Onsite Training
Introduction
Understand big-data concepts, platforms and practical use cases. Explore data sources, processing approaches, quality, visualisation and responsible handling without requiring previous programming experience.


This instructor-led course combines clear explanations with guided exercises and practical scenarios. Work through examples relevant to the subject, review alternative approaches and practise checking your results rather than relying on a demonstration alone.
You will develop a structured approach to implementation, troubleshooting and documentation. The trainer can adapt examples to the agreed learning needs and available training environment. Confirm the course duration, software or lab requirements, delivery arrangements and fees with London IT Training before booking.
This is professional development training. It does not automatically award a third-party vendor certification.
What the course covers
Flexible Ways to Learn

Study your way with flexible learning options designed to fit around your schedule.

Small Groups

With small groups of students, our instructors can work closely with each student

Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend or evening to suit your schedule.

Experienced Instructors

Our instructors follow a modified and personalised approach to engage students during class

Hi-Tech lab Facilities

Lab arrangements vary by course. Confirm access and equipment requirements before booking.

Prerequisites
What you’ll gain

Apply big-data foundations in a practical course exercise.

Apply data sources and quality in a practical course exercise.

Apply storage and platforms in a practical course exercise.

Apply batch and streaming in a practical course exercise.

Develop skills for your next step
Relevant career pathways
Data Support Professional:

Assist with data preparation and reporting activities.

Business Analyst:

Assess requirements and communicate useful data questions.

Syllabus

Course context and practical foundations
Review the course objectives and relevant concepts. Set up a suitable training environment, identify a realistic example and agree how to validate the results.

Explore scale, variety, speed and data value. Distinguish a useful data problem from a technology-first project.

Identify structured and unstructured sources. Recognise missing, inconsistent, duplicated and unsuitable information.

Compare files, relational databases, NoSQL and distributed storage. Understand why different workloads require different approaches.

Explain processing pipelines, batch jobs and event streams. Trace how data moves from source to a usable result.

Explore queries, summaries and simple visualisations. Interpret findings and distinguish correlation from evidence of causation.

Review access, privacy, retention and accountability. Define a small use case and a practical plan for measuring its value.

Complete an integrated exercise using sample data or an isolated training environment. Test the result, document decisions and troubleshooting steps, and identify improvements and next learning objectives.

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FAQs

Who is this course for?
Understand big-data concepts, platforms and practical use cases. Explore data sources, processing approaches, quality, visualisation and responsible handling without requiring previous programming experience.

Have basic computer skills and an interest in data. No previous programming or database experience is required. Familiarity with spreadsheets is helpful for practical examples.

Big-data foundations; Data sources and quality; Storage and platforms; Batch and streaming; Analysis and communication; Governance and project planning.

No. This is professional development training. It does not automatically award a third-party vendor certification.

Contact London IT Training to discuss classroom, live online and corporate delivery arrangements.

Contact the training team for current duration, available dates, fees and software or lab requirements. Do not assume that licences, materials or examination fees are included.

Need help choosing the right course?

Talk to one of our advisers about dates, delivery options and certification routes. We’ll call you back within 1 working day.

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