Free preview available
Columbus, United States · Study online with LSBA

Big Data Analytics

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
2201 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Data Acquisition

2

Data Processing

3

Data Storage

4

Data Visualization

5

Predictive Modeling

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
24/7
Course access
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
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Enrol now

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
Open enrolment · Start today

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

Enrol now
Instant access Certificate included Self-paced Secure checkout

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 States
MC
Michael Carter
US · Course completed

I'm thoroughly impressed with the Big Data Analytics course at Stanmore School of Business! The comprehensive curriculum and expert instruction helped me achieve my learning goals and gain practical knowledge in data analysis, machine learning, and visualization. I particularly appreciated the hands-on exercises and real-world case studies, which enabled me to apply theoretical concepts to actual business problems. The course materials were top-notch, and I was satisfied with the overall learning experience. I'd highly recommend this course to anyone looking to upskill in big data analytics!

LS
Leandro Silva
BR · Course completed

The Big Data Analytics course at Stanmore School of Business was a great experience for me. I learned a lot about data processing, storage, and analysis, which has been super helpful in my current role. The course materials were pretty cool, with lots of examples and quizzes to keep me engaged. I also liked that the instructors were available to answer questions and provide feedback. One thing that really stood out was the section on data visualization - it's been a game-changer for me in terms of communicating insights to stakeholders. Overall, I'm really happy with the course and would definitely recommend it to others in the field.

FW
Felix Wagner
DE · Course completed

I must say, I was blown away by the quality and relevance of the course materials in the Big Data Analytics program at Stanmore School of Business! As someone with a background in computer science, I was looking for a course that would help me bridge the gap between technical skills and business acumen. This course delivered on that promise, providing me with a deep understanding of big data concepts, tools, and techniques. The instructors were knowledgeable and enthusiastic, and the online platform was user-friendly and well-organized. I was particularly impressed by the guest lectures from industry experts, which added a valuable perspective to the course content. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to gain expertise in big data analytics.

SR
Siti Rahman
SG · Course completed

The Big Data Analytics course at Stanmore School of Business was a detailed and comprehensive program that covered a wide range of topics, from data ingestion and processing to machine learning and visualization. I appreciated the structured approach to the course, which included video lectures, readings, and assignments. The course materials were well-organized and easy to follow, and the instructors provided clear explanations and examples to illustrate key concepts. One area where I think the course could improve is in providing more opportunities for students to work on real-world projects and apply their skills in a practical setting. Nevertheless, I was happy with the course overall and would recommend it to others who are looking to gain a solid foundation in big data analytics.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026