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Добыча Данных

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Overview

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Learning outcomes

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Course content

1

Introduction To Data Mining

2

Data Preprocessing

3

Data Visualization

4

Cluster Analysis

5

Predictive Modeling

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 recently completed the 'Добыча Данных' course 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 of becoming proficient in data extraction and analysis. I gained practical knowledge of data scraping, data cleaning, and data visualization, which I was able to apply to a project at work. The course materials were of high quality, and the instructors were knowledgeable and responsive. I would highly recommend this course to anyone looking to improve their data analysis skills.

LH
Leila Hassan
EG · Course completed

I took the 'Добыча Данных' course to improve my skills in data extraction and analysis, and I'm really glad I did. The course was pretty cool, and I learned a lot of new things. I liked how the instructors used real-life examples to explain the concepts, it made it easier to understand. I also appreciated the feedback I got on my assignments, it helped me to improve my skills. One thing that was really useful was learning how to use Python for data analysis, it's a skill that's really in demand in the industry. Overall, I'm happy with the course, and I would recommend it to others.

KN
Kaito Nakamura
JP · Course completed

WOW, just WOW! The 'Добыча Данных' course at Stanmore School of Business was AMAZING! I was a bit skeptical at first, but the course exceeded my expectations in every way. The instructors were super knowledgeable and enthusiastic, and the course materials were top-notch. I loved how the course covered both the theoretical and practical aspects of data extraction and analysis. I gained so many new skills, including data mining, data warehousing, and data visualization. The best part was the project we worked on at the end of the course, it was a real-world scenario that helped me to apply everything I learned. I'm so glad I took this course, it was an incredible experience!

RK
Rahul Kapoor
IN · Course completed

The 'Добыча Данных' course at Stanmore School of Business was really detailed and comprehensive. I appreciated how the instructors broke down the complex concepts into smaller, manageable chunks, making it easier to understand. The course materials were also very relevant and up-to-date, which was great. One thing that I found particularly useful was the section on data quality and data governance, it's an area that's often overlooked but is so important in real-world scenarios. I also liked how the course included case studies and group discussions, it helped to reinforce my learning and gain new insights. Overall, I'm satisfied with the course, and I would recommend it to others who are looking to improve their data analysis skills.





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Recently updated!

May 2026