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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 Kingdom
ST
Sarah Thompson
GB · Course completed

I took Наука О Данных because I wanted to add some data‑science chops to my marketing background, and it delivered. The course was laid out in bite‑size chunks, which made it easy to fit around my full‑time job. I loved the practical labs where we built a simple recommendation engine in R – I actually used that project in a client pitch and it impressed the team. The resources, especially the downloadable cheat‑sheets, were spot‑on. It wasn’t perfect – a couple of the video subtitles were a bit off – but overall I’m happy with what I got out of it.

MC
Michael Carter
US · Course completed

The Наука О Данных course exceeded my expectations. The curriculum was perfectly aligned with my goal of transitioning into a data analyst role. I especially appreciated the hands‑on modules on SQL query optimization and Python’s pandas library; after completing the assignments I was able to clean a 500,000‑row dataset for my current employer without any external help. The lecture videos are clear, the slide decks are up‑to‑date with industry standards, and the case studies using real‑world business data made the material feel immediately applicable. Overall, the learning experience was polished and professional, and I feel fully prepared for my new responsibilities.

AP
Ananya Patel
IN · Course completed

Wow! This Наука О Данных course was exactly what I needed to boost my confidence in data science. The enthusiastic instructors kept me motivated, and the interactive notebooks let me experiment with machine‑learning models right away. I built a churn‑prediction model for a telecom dataset and saw a 12% improvement in accuracy after applying the feature‑engineering tricks taught in week three. The course materials are fresh, with up‑to‑date libraries and real‑world examples from the finance sector. I finished the program feeling thrilled and ready to take on senior analytics projects.

ZD
Zanele Dlamini
ZA · Course completed

The Наука О Данных program offered a very detailed exploration of data‑science fundamentals. My primary aim was to learn how to visualize complex datasets for reporting, and the modules on Tableau and Power BI delivered exactly that. I was able to create an interactive dashboard for my nonprofit’s donor data, which reduced reporting time by 30 %. The course content was well‑structured: theoretical concepts were followed by practical assignments that reinforced learning. While the pacing was a bit fast in the deep‑learning section, the supplementary reading material helped me catch up. Overall, a solid and comprehensive learning experience.





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Recently updated!

May 2026