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Наука О Данных

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Overview

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Learning outcomes

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Course content

1

Introduction To Data Science

2

Data Preprocessing

3

Data Visualization

4

Machine Learning

5

Data Mining

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
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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 thrilled to have taken the 'Наука О Данных' 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 interpretation. The course exceeded my expectations, providing me with a comprehensive understanding of data science concepts and tools. The instructor's expertise and the quality of the course materials were exceptional. I particularly appreciated the hands-on exercises and real-world examples that helped me apply theoretical concepts to practical problems. The course has been instrumental in helping me achieve my learning goals, and I'm confident that the skills I've gained will benefit my career in the long run.

LH
Leila Hassan
EG · Course completed

I found the 'Наука О Данных' course to be a great introduction to the field of data science. As someone from Egypt, I was interested in learning more about the applications of data analysis in the Middle East. The course provided a solid foundation in statistical concepts, data visualization, and machine learning. I appreciated the flexibility of the course schedule, which allowed me to balance my studies with work commitments. While some of the topics were challenging, the instructor's support and feedback were helpful in clarifying my doubts. Overall, I'm satisfied with the course and feel that it has given me a good starting point for further learning.

RS
Raphael Silva
BR · Course completed

Wow, what an amazing course! I'm from Brazil, and I was blown away by the quality of the 'Наука О Данных' course at Stanmore School of Business. The instructor's passion for data science is infectious, and the course materials were engaging, relevant, and fun. I loved the interactive discussions, group projects, and case studies that made the learning experience so enjoyable. The course covered a wide range of topics, from data preprocessing to predictive modeling, and I appreciated the emphasis on practical applications. I've gained a wealth of knowledge and skills that I can apply immediately in my work, and I'm excited to continue learning and growing in the field of data science.

KR
Kai Rasmussen
DK · Course completed

As a detail-oriented person from Denmark, I appreciated the thoroughness and structure of the 'Наука О Данных' course. The course provided a comprehensive overview of data science concepts, including data wrangling, visualization, and modeling. I found the course materials to be well-organized, and the instructor's explanations were clear and concise. The course also included many practical examples and exercises, which helped me understand the theoretical concepts better. 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 course and feel that it has given me a solid foundation in data science.





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Recently updated!

May 2026