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Big Data Analytics

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Overview

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Learning outcomes

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Course content

1

Data Acquisition

2

Data Processing

3

Data Storage

4

Data Visualization

5

Predictive Modeling

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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60 sec
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Self-paced
Learn on your time
Certificate
Included in fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the 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.

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.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Assessment 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, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for the Big Data Analytics course to boost my CV, and it definitely delivered. The mix of video tutorials and real‑world datasets (like the London traffic data) made the material feel relevant. I learned how to clean massive CSV files using PySpark and visualise results with Tableau – skills I’ve already used on a freelance project. The course platform was easy to navigate, though a few more live Q&A sessions would have been nice. Still, I’m glad I completed it and feel much more marketable.

MC
Michael Carter
US · Course completed

The Big Data Analytics course at Stanmore School of Business exceeded my expectations. The curriculum was perfectly aligned with my goal of mastering data pipelines, and the hands‑on labs with Hadoop and Spark gave me the confidence to design end‑to‑end workflows. I especially appreciated the case studies on retail demand forecasting, which I could directly apply to my current role. The lecture slides were concise, the supplemental reading was up‑to‑date, and the instructor’s feedback on my capstone project was invaluable. Overall, a highly professional and rewarding learning experience.

AP
Ananya Patel
IN · Course completed

Wow! This course was a game‑changer for me. I wanted to transition from traditional analytics to big data, and the step‑by‑step modules on Hadoop ecosystem, Spark streaming, and machine‑learning pipelines gave me exactly that. The practical labs where we built a recommendation engine for an e‑commerce dataset were thrilling, and the instructor’s enthusiastic explanations kept me motivated. The downloadable notebooks were crystal‑clear, and the community forum helped me troubleshoot in real time. I’m now confidently interviewing for senior data engineer roles!

ZD
Zanele Dlamini
ZA · Course completed

The Big Data Analytics program was thorough and well‑structured. My objective was to understand how to handle large‑scale datasets for my consultancy work, and the course delivered detailed coverage of data ingestion with Kafka, batch processing with Spark, and visualization using Power BI. I particularly valued the week‑long project where we analysed a South African health dataset to identify trends in disease outbreaks – it gave me concrete experience I can showcase to clients. The materials were up‑to‑date, though a few more interactive quizzes would have reinforced learning. Overall, a solid and detailed learning journey.





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Recently updated!

May 2026