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Extraction De Données

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Overview

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Learning outcomes

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Course content

1

Introduction Aux Méthodes D'extraction

2

Traitement Des Données

3

Analyse Exploratoire

4

Nettoyage Et Préparation Des Données

5

Extraction Et Modélisation De 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'm absolutely thrilled with the 'Extraction De Données' course at Stanmore School of Business! As a data analyst from the United States, I was looking to enhance my skills in extracting insights from complex data sets. This course exceeded my expectations in every way. The instructor's expertise and the quality of the course materials were top-notch. I particularly appreciated the hands-on exercises and real-world examples that helped me grasp the concepts of data extraction, transformation, and loading. I've already applied the knowledge and skills I gained to improve my work, and I'm excited to take on more challenging projects. The course was well-paced, engaging, and relevant to my career goals. I highly recommend it to anyone looking to boost their data analysis skills!

AM
Arjun Mehta
IN · Course completed

I found the 'Extraction De Données' course to be quite helpful in achieving my learning goals. As someone from India with a background in computer science, I was looking to expand my knowledge of data extraction techniques. The course provided a comprehensive overview of the subject, covering both theoretical and practical aspects. I appreciated the detailed explanations of data extraction methods and the opportunities to practice with sample data sets. While some of the topics were a bit challenging to follow, the instructor's support and feedback were invaluable. Overall, I'm satisfied with the course and feel more confident in my ability to extract insights from data. One area for improvement could be adding more interactive elements to the course, such as discussions or group projects.

RA
Raj Anand
SG · Course completed

Wow, just wow! The 'Extraction De Données' course at Stanmore School of Business was an amazing experience! As a marketing professional from Singapore, I was eager to learn more about extracting valuable insights from data to inform my campaigns. This course delivered! The instructor was enthusiastic, knowledgeable, and always available to answer questions. The course materials were engaging, relevant, and easy to follow. I loved the case studies and group discussions, which helped me apply the concepts to real-world scenarios. I gained practical skills in data extraction, data visualization, and statistical analysis, which I've already started applying in my work. The course was fast-paced, but the instructor provided plenty of support and resources to ensure we stayed on track. I'm so grateful to have taken this course and can't wait to take on more challenging projects!

ÉM
Élise Martin
FR · Course completed

I must say that the 'Extraction De Données' course at Stanmore School of Business was a well-structured and informative program. As a data scientist from France, I was looking to refine my skills in data extraction and processing. The course covered a wide range of topics, from data warehousing to data governance, and provided a solid foundation in data extraction principles. I appreciated the detailed lectures, the accompanying slides, and the recommended readings. The instructor was knowledgeable and responsive to questions. One aspect that could be improved is the addition of more advanced topics, such as machine learning or natural language processing, to cater to more experienced learners like myself. Nonetheless, I'm satisfied with the course and feel that it has helped me achieve my learning objectives. The course materials were of high quality, and I appreciate the flexibility of the online format, which allowed me to complete the course at my own pace.





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Recently updated!

May 2026