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Certificat Masterclass En Science Des Données (Avancé) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Unit Introduction Aux Sciences Des Données

2

Unit Collecte Et Prétraitement Des Données

3

Unit Exploration Et Visualisation Des Données

4

Unit Analyse Univariée Et Bivariée

5

Unit Régression Linéaire Et Non Linéaire

6

Unit Arbres De Décision Et Forêts Aléatoires

7

Unit Méthodes D'ensemble

8

Unit Introduction Au Deep Learning

9

Unit Réseaux De Neurones Convolutionnels

10

Unit Traitement Du Langage Naturel

11

Unit Clustering Et Classification

12

Unit Introduction À La Programmation Python

13

Unit Utilisation De La Bibliothèque Pandas

14

Unit Manipulation Et Analyse De Données Avec Numpy

15

Unit Visualisation De Données Avec Matplotlib Et Seaborn

16

Unit Modélisation De Données Avec Scikit-Learn

17

Unit Introduction À La Programmation R

18

Unit Utilisation De La Bibliothèque Dplyr

19

Unit Manipulation Et Analyse De Données Avec Tidyverse

20

Unit Visualisation De Données Avec Ggplot2

Career Path

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Key facts

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Why this course

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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
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 recently completed the Certificat Masterclass En Science Des Données (Avancé) at Stanmore School of Business, and I must say it was an incredible experience! The course content was highly relevant and helped me achieve my learning goals in data science. I particularly enjoyed the practical examples and case studies, which gave me hands-on experience with data analysis and machine learning. The course materials were of high quality, and the instructors were knowledgeable and supportive. I appreciated the flexibility of the online format, which allowed me to balance my coursework with my professional responsibilities. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to advance their skills in data science.

CB
Camille Bernard
FR · Course completed

J'ai suivi le Certificat Masterclass En Science Des Données (Avancé) à Stanmore School of Business, et j'ai trouvé l'expérience très enrichissante. Les contenus du cours étaient très pertinents et m'ont aidée à atteindre mes objectifs d'apprentissage en science des données. J'ai apprécié les exemples pratiques et les études de cas, qui m'ont donné une expérience concrète de l'analyse de données et du machine learning. Les matériaux du cours étaient de haute qualité, et les instructeurs étaient compétents et disponibles. Cependant, j'aurais aimé avoir plus de temps pour les travaux pratiques. Dans l'ensemble, je suis satisfaite du cours et je le recommanderais à quiconque souhaite améliorer ses compétences en science des données.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! I'm still reeling from the amazing experience I had with the Certificat Masterclass En Science Des Données (Avancé) at Stanmore School of Business! The course content was incredibly comprehensive and covered everything I needed to know to take my data science skills to the next level. I loved the interactive sessions and the opportunity to work on real-world projects - it really helped me apply the concepts to practical scenarios. The course materials were top-notch, and the instructors were super knowledgeable and enthusiastic. I also appreciated the diverse community of students from all over the world - it was great to learn from their experiences and share my own. Overall, I'm thoroughly satisfied with the course and would highly recommend it to anyone looking to kickstart their career in data science!

RK
Rahul Kapoor
IN · Course completed

I completed the Certificat Masterclass En Science Des Données (Avancé) at Stanmore School of Business, and I must say it was a valuable learning experience. The course content was well-structured and covered a wide range of topics in data science, including data preprocessing, visualization, and machine learning. I found the lectures to be informative and engaging, and the assignments helped me apply the concepts to practical problems. The course materials were also comprehensive and included many useful resources and references. One area for improvement could be the discussion forums - sometimes it took a while to get responses from the instructors or peers. Nevertheless, I'm satisfied with the course and would recommend it to anyone looking to gain a deeper understanding of data science concepts and techniques.





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Recently updated!

May 2026