View more options for this course

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

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
Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
3149 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

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Unsupervised Learning

2

Supervised Learning

3

Neural Networks

4

Deep Learning

5

Natural Language Processing

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 blown away by the Data Science (Part II) course at Stanmore School of Business! As a working professional in the US, I needed a course that would help me upgrade my skills in data analysis and machine learning. This course exceeded my expectations in every way. The instructor's explanations were crystal clear, and the course materials were top-notch. I particularly appreciated the hands-on exercises and real-world examples that helped me apply theoretical concepts to practical problems. I've already started applying the skills I learned to my current project, and the results are impressive. Kudos to the Stanmore School of Business team for creating such an exceptional learning experience!

LH
Leila Hassan
EG · Course completed

I recently completed the Data Science (Part II) course at Stanmore School of Business, and I must say it was a great experience. As a data analyst from Egypt, I was looking for a course that would help me improve my skills in data visualization and modeling. The course content was well-structured and easy to follow, and the instructor was knowledgeable and responsive to questions. I appreciated the variety of case studies and examples used to illustrate key concepts, which made the learning experience more engaging and interactive. One area for improvement could be the addition of more advanced topics, such as deep learning and natural language processing. Overall, I'm satisfied with the course and would recommend it to others looking to boost their data science skills.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Data Science (Part II) course at Stanmore School of Business was an absolute game-changer for me! As a data enthusiast from Japan, I was eager to learn more about the latest tools and techniques in data science. This course delivered on all fronts, with excellent instruction, engaging videos, and comprehensive course materials. I was particularly impressed by the section on time series forecasting, which included a fascinating example using real-world data from the Tokyo stock market. The course also covered more advanced topics, such as gradient boosting and neural networks, which I found incredibly useful. I'm so glad I took this course – it's been a wild ride, and I feel like I've gained a whole new set of skills to tackle complex data challenges!

RS
Rafaela Silva
BR · Course completed

I had a great experience with the Data Science (Part II) course at Stanmore School of Business. As a Brazilian student, I was looking for a course that would provide a solid foundation in data science and machine learning. The course content was well-organized, and the instructor did a great job explaining complex concepts in a clear and concise manner. I appreciated the emphasis on practical applications and the use of popular libraries like Pandas and Scikit-learn. One thing that would have been helpful is more feedback on assignments and projects – sometimes it felt like I was working in a vacuum. Nonetheless, I'm happy with what I learned, and I feel more confident in my ability to work with data. Overall, I'd recommend this course to anyone looking for a comprehensive introduction to data science.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

April 2026