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Science Des Données

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Overview

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Learning outcomes

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Course content

1

Introduction Aux Sciences Des Données

2

Prétraitement Des Données

3

Analyse Exploratoire Des Données

4

Apprentissage Automatique

5

Visualisation Des Données

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

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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
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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
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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 took the 'Science Des Données' course at Stanmore School of Business and it was a game-changer for me. As a data enthusiast, I wanted to deepen my understanding of data science principles and applications. The course materials were top-notch, with engaging video lectures, comprehensive readings, and hands-on assignments that helped me develop practical skills in data analysis, visualization, and machine learning. I particularly appreciated the emphasis on real-world case studies, which enabled me to apply theoretical concepts to actual business problems. The instructor's expertise and support were exceptional, and I felt confident in my ability to tackle complex data projects by the end of the course. Overall, I'm extremely satisfied with my learning experience and would highly recommend this course to anyone interested in data science.

LH
Leila Hassan
EG · Course completed

I recently completed the 'Science Des Données' course at Stanmore School of Business, and I must say it was a great experience. The course content was well-structured and easy to follow, with a good balance of theoretical foundations and practical applications. I gained a solid understanding of data preprocessing, feature engineering, and model evaluation, which I've already started applying in my work as a business analyst. The course materials were relevant and up-to-date, with many examples and illustrations that helped me grasp complex concepts. My only suggestion for improvement would be to include more interactive elements, such as discussions or group projects, to enhance the learning experience. Nevertheless, I'm happy with what I learned and would recommend this course to others looking to develop their data science skills.

CS
Catarina Silva
BR · Course completed

Wow, just wow! The 'Science Des Données' course at Stanmore School of Business exceeded my expectations in every way. As a marketing professional, I wanted to learn more about data-driven decision-making and how to leverage data insights to drive business growth. This course delivered exactly that, with a comprehensive curriculum that covered everything from data visualization to predictive modeling. The instructor was passionate and knowledgeable, and the course materials were engaging, informative, and fun. I loved the hands-on assignments, which allowed me to practice my skills and apply what I learned to real-world scenarios. The feedback from the instructor was also invaluable, helping me identify areas for improvement and providing guidance on how to overcome challenges. I'm so grateful to have taken this course and can't wait to apply my new skills in my work.

KN
Kaito Nakamura
JP · Course completed

I enrolled in the 'Science Des Données' course at Stanmore School of Business to improve my data analysis skills and gain a deeper understanding of machine learning algorithms. The course was well-organized, with clear learning objectives and a logical flow of topics. I appreciated the detailed explanations of key concepts, such as regression, clustering, and neural networks, as well as the many examples and case studies that illustrated their applications. The course materials were of high quality, with relevant readings, videos, and assignments that helped me develop practical skills in data science. One area for improvement could be to provide more opportunities for peer feedback and discussion, which would enhance the learning experience and allow students to learn from each other's perspectives. Overall, I'm satisfied with what I learned and would recommend this course to others interested in data science.





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Recently updated!

May 2026