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
2470 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 thrilled to have taken the Big Data Analytics course at Stanmore School of Business! The course content was incredibly comprehensive, covering everything from data mining to predictive analytics. I was able to apply the concepts learned in the course to my job as a data analyst, and I saw a significant improvement in my ability to extract insights from complex data sets. The course materials were top-notch, with engaging video lectures and relevant case studies. I'm so grateful for the opportunity to have taken this course and I highly recommend it to anyone looking to boost their skills in big data analytics.

AS
Anna Schneider
DE · Course completed

The Big Data Analytics course at Stanmore School of Business was a solid choice for me. As a professional with a background in IT, I was looking to expand my skill set and gain a deeper understanding of big data concepts. The course delivered on its promises, providing a thorough introduction to big data tools and technologies. I appreciated the hands-on exercises and the opportunity to work on real-world projects. The instructor was knowledgeable and responsive, and the course materials were well-organized and easy to follow. Overall, I'm satisfied with the course and would recommend it to others looking to gain practical skills in big data analytics.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Big Data Analytics course at Stanmore School of Business was an amazing experience! I was blown away by the quality of the course materials and the expertise of the instructor. The course covered a wide range of topics, from data visualization to machine learning, and I was able to gain a deep understanding of each concept. I was particularly impressed by the emphasis on practical applications and the opportunity to work on projects that simulated real-world scenarios. The course was challenging, but the sense of accomplishment I felt when I completed it was incredible. I've already started applying the skills I learned to my work as a data scientist, and I'm excited to see the impact it will have on my career.

ZD
Zanele Dlamini
ZA · Course completed

I recently completed the Big Data Analytics course at Stanmore School of Business, and I must say it was a great learning experience. As someone with a background in business, I was looking to gain a better understanding of big data concepts and how they can be applied in a business context. The course provided a good balance of theoretical and practical knowledge, and I appreciated the use of case studies and group discussions to illustrate key concepts. The instructor was helpful and responsive, and the course materials were well-organized and easy to follow. One area for improvement could be the addition of more advanced topics, such as big data security and governance. Overall, however, I'm satisfied with the course and would recommend it to others 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