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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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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
OH
Oliver Hughes
GB · Course completed

What an exhilarating experience! The Big Data Analytics course blew me away with its depth and energy. From mastering Python’s Pandas library to deploying a real‑time streaming job on AWS Kinesis, every module was a new adventure. The instructor’s enthusiasm made complex topics like predictive modelling feel accessible, and the practical assignments—like forecasting sales using ARIMA—gave me tangible skills I can showcase in interviews. The resources were top‑notch, and I finished the course buzzing with confidence.

MC
Michael Carter
US · Course completed

The Big Data Analytics course at Stanmore School of Business exceeded my expectations. The curriculum aligned perfectly with my goal to master Hadoop and Spark for real‑world projects. I especially appreciated the hands‑on labs where we built a data pipeline that ingested social‑media feeds and performed sentiment analysis. The lecture slides were concise yet comprehensive, and the case studies on retail analytics were directly applicable to my current role. Overall, the professional delivery and up‑to‑date resources made the learning experience both efficient and rewarding.

SL
Sophie Laurent
CA · Course completed

I took the Big Data Analytics class because I wanted to get a grip on data‑visualisation tools. The course was super chill but still packed with useful stuff – we used Tableau and Power BI to turn raw logs into dashboards that actually helped my team spot bottlenecks. The videos were clear and the reading material was spot‑on, not too heavy. I left feeling confident I could pull together a data‑warehouse project on my own. Would definitely recommend it to anyone looking for a solid, laid‑back intro.

RK
Rahul Kapoor
IN · Course completed

I approached this course with a clear objective: to understand end‑to‑end big data workflows for my startup. The detailed modules covered everything from data ingestion with Apache NiFi to model evaluation using MLlib. A standout moment was the capstone project where I built a recommendation engine for e‑commerce users, which I later integrated into our product. The course materials—including the well‑structured PDFs, code repositories, and supplemental webinars—were highly relevant and kept me engaged throughout. The learning journey was thorough, and I now feel equipped to lead data‑driven initiatives.





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Recently updated!

May 2026