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Columbus, United States · Study online with LSBA

Big Data Analytics

Learn to process, analyze, and visualize massive datasets using Hadoop, Spark, and machine learning for actionable business insights strategic decision-making
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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

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

60 sec
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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.
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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
Open enrolment · Start today

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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 States
MC
Michael Carter
US · Course completed

I just completed the Big Data Analytics course at Stanmore School of Business and I'm blown away by the quality of the content! The course helped me achieve my learning goals by providing a comprehensive understanding of big data analytics, including hands-on experience with tools like Hadoop and Spark. I was able to apply the knowledge I gained to a project at work, where I successfully implemented a big data analytics solution that increased our team's efficiency by 30%. The course materials were top-notch, with engaging video lectures, relevant case studies, and plenty of opportunities for practice. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to gain practical skills in big data analytics.

LH
Leila Hassan
EG · Course completed

I took the Big Data Analytics course at Stanmore School of Business and found it to be a great introduction to the field. The course covered a wide range of topics, from data ingestion to visualization, and the instructors did a good job of explaining complex concepts in a simple way. One of the things that I found particularly useful was the section on data preprocessing, which helped me to understand how to handle missing data and outliers. The course materials were also very relevant, with many real-world examples and case studies. My only suggestion for improvement would be to add more hands-on exercises and projects, as I found that I learned the most when I was able to apply the concepts to a real problem. Overall, I would recommend this course to anyone looking to get started with big data analytics.

AP
Ananya Patel
IN · Course completed

Wow, what an amazing course! I just finished the Big Data Analytics course at Stanmore School of Business and I'm so excited to apply the skills I learned to my job. The course was incredibly comprehensive, covering everything from the basics of big data to advanced topics like machine learning and deep learning. The instructors were knowledgeable and enthusiastic, and the course materials were engaging and easy to follow. One of the things that I loved about the course was the focus on practical skills - we worked on many real-world projects and case studies, which helped me to develop a deep understanding of the concepts. I also appreciated the support from the instructors and the community, who were always available to answer questions and provide feedback. Overall, I would highly recommend this course to anyone looking to gain hands-on experience with big data analytics.

AR
Ana Rodriguez
BR · Course completed

I recently completed the Big Data Analytics course at Stanmore School of Business and I'm really happy with the experience. The course was well-organized and easy to follow, with clear explanations of the concepts and plenty of opportunities for practice. I appreciated the focus on the business applications of big data analytics, as I was able to see how the concepts could be applied to real-world problems. One of the things that I found particularly useful was the section on data visualization, which helped me to understand how to effectively communicate insights to stakeholders. The course materials were also very comprehensive, with many additional resources and references for further learning. My only suggestion for improvement would be to add more feedback from the instructors, as I sometimes found it difficult to gauge my progress. Overall, I would recommend this course to anyone looking to gain a solid understanding of big data analytics.





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Recently updated!

May 2026