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Columbus, United States · Study online with LSBA

Professional Certificate in Data Science (Part II)

Advanced data science program covering machine learning, big data analytics, statistical modeling, and real‑world project implementation using Python and cloud
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2 months to complete
at 2-3 hours a week

Overview

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Learning outcomes

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Course content

1

Advanced Machine Learning

2

Big Data Analytics

3

Statistical Modeling And Inference

4

Data Visualization And Storytelling

5

Deep Learning For Structured Data

6

Natural Language Processing

7

Time Series Analysis

8

Data Engineering Foundations

9

Ethical Ai And Data Governance

10

Capstone Project

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.

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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'm blown away by the Professional Certificate in Data Science (Part II) course at Stanmore School of Business! As a data analyst in the US, I was looking to upskill and this course delivered. The content was incredibly relevant, covering advanced topics like machine learning and data visualization. I particularly enjoyed the hands-on projects, which helped me apply theoretical concepts to real-world problems. The course materials were top-notch, with clear explanations and concise code examples. I've already seen a significant improvement in my work, and I'm confident that this course will open up new career opportunities for me. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to boost their data science skills.

LH
Leila Hassan
EG · Course completed

I found the Professional Certificate in Data Science (Part II) course to be a great continuation of the first part. The course content was well-structured and easy to follow, with a good balance of theory and practical applications. I appreciated the focus on data storytelling and communication, which is often overlooked in other data science courses. The instructors were knowledgeable and responsive, and the discussion forums were active and helpful. One thing that could be improved is the addition of more case studies from diverse industries and regions. Nevertheless, I'm happy with the skills I've gained and the confidence I've built in applying data science concepts to real-world problems. Overall, it was a worthwhile investment of my time and effort.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Professional Certificate in Data Science (Part II) course at Stanmore School of Business was an amazing experience! I was a bit skeptical at first, but the course exceeded my expectations in every way. The content was incredibly comprehensive, covering everything from data preprocessing to model deployment. I loved the interactive labs and assignments, which helped me develop a deep understanding of the subject matter. The course materials were also very well-organized and easy to navigate. I've already started applying the skills I learned to my work, and I'm excited to see the impact it will have on my career. If you're considering this course, don't hesitate – it's a game-changer!

CS
Catarina Silva
BR · Course completed

I recently completed the Professional Certificate in Data Science (Part II) course at Stanmore School of Business, and I must say it was a great learning experience. The course content was well-designed, with a focus on practical applications and real-world examples. I appreciated the emphasis on ethics and responsible data science practices, which is essential in today's data-driven world. The instructors were knowledgeable and supportive, and the peer feedback was helpful in improving my work. One area for improvement could be the addition of more advanced topics, such as deep learning or natural language processing. Nevertheless, I'm satisfied with the skills I've gained and the knowledge I've acquired. Overall, it was a worthwhile investment of my time and effort, and I would recommend it to anyone looking to develop their data science skills.





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Recently updated!

April 2026