Limited spots — Enrol now and start immediately
Home / Courses / 数据科学
Columbus, United States · Study online with SSB

数据科学

Free preview available
Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
2892 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
2892+
Enrolled
4.5★
Rating
5
Units
150+
Countries
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Data Preprocessing

2

Machine Learning Fundamentals

3

Data Visualization

4

Statistical Modeling

5

Data Mining Techniques

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

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

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.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

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 Stanmore School of Business
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay 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.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a accredited awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

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 '数据科学' course at Stanmore School of Business! As a data enthusiast from the United States, I was looking to enhance my skills in data analysis and visualization. This course exceeded my expectations in every way. The instructor's ability to break down complex concepts into easily digestible pieces was impressive. I gained practical knowledge in using Python libraries like Pandas and NumPy for data manipulation, and Matplotlib for visualization. The course materials were top-notch, with relevant examples and case studies that made learning fun and engaging. I've already applied the skills I learned to a project at work, and the results have been outstanding. If you're looking to upskill in data science, I highly recommend this course!

LH
Leila Hassan
EG · Course completed

I recently completed the '数据科学' course at Stanmore School of Business, and I must say it was a great learning experience. As a professional from Egypt, I was interested in learning more about data science and its applications. The course provided a comprehensive overview of the field, covering topics like machine learning, statistical modeling, and data visualization. I found the course materials to be well-structured and easy to follow, with plenty of examples and exercises to practice. One of the highlights of the course was the project work, where we had to apply our knowledge to a real-world problem. I worked on a project analyzing customer data for a retail company, and I was able to gain valuable insights using the techniques learned in the course. Overall, I'm satisfied with the course, and I think it's a good starting point for anyone looking to get into data science.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The '数据科学' course at Stanmore School of Business is absolutely amazing! As a data scientist from Japan, I was looking to expand my skill set and stay up-to-date with the latest developments in the field. This course delivered on all fronts. The instructor was knowledgeable and enthusiastic, and the course materials were incredibly comprehensive. I loved the fact that the course covered both the theoretical and practical aspects of data science, with a focus on real-world applications. I gained hands-on experience with tools like TensorFlow and Keras, and I was able to apply my knowledge to a project involving natural language processing. The course community was also very supportive, with plenty of opportunities to interact with fellow students and get feedback on my work. I'm so glad I took this course, and I highly recommend it to anyone interested in data science!

RS
Raphael Silva
BR · Course completed

I've just completed the '数据科学' course at Stanmore School of Business, and I'm really pleased with the experience. As a professional from Brazil, I was looking to develop my skills in data analysis and machine learning. The course provided a solid foundation in these areas, with a focus on practical applications and real-world case studies. I found the course materials to be well-organized and easy to follow, with plenty of examples and exercises to practice. One of the things that stood out to me was the instructor's ability to explain complex concepts in a clear and concise manner. I also appreciated the opportunity to work on a project involving time series forecasting, which allowed me to apply my knowledge to a real-world problem. Overall, I think this course is a great option for anyone looking to get started in data science, and I'm happy to recommend it to others.


Limited spots — Enrol Now



Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026