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London, United Kingdom · Study online with LSBA

एआई प्रोजेक्ट डेटा विश्लेषण

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Overview

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Learning outcomes

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Course content

1

डेटा संग्रहण

2

पूर्व-प्रसंस्करण

3

फ़ीचर इंजीनियरिंग

4

मॉडल प्रशिक्षण

5

परिणाम विज़ुअलाइज़ेशन

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
Ready when you are
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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

The एआई प्रोजेक्ट डेटा विश्लेषण course precisely matched my learning objectives. The modules on data preprocessing with Python pandas gave me the confidence to clean large datasets, and the hands‑on project on building a churn‑prediction model using scikit‑learn directly translated to my current role. The lecture videos were clear, and the supplemental reading material on AI ethics was both current and relevant. Overall, the structured curriculum and responsive instructors made the experience highly rewarding.

AS
Ana Silva
BR · Course completed

Adorei o curso! O jeito descontraído dos professores fez tudo ficar mais fácil de entender. Aprendi a usar o Power BI para criar dashboards interativos, algo que já estou aplicando nos relatórios da minha empresa. O material de apoio, cheio de exemplos reais de projetos de IA, foi super útil. Saí do curso me sentindo muito mais preparada para liderar análises de dados em projetos de IA.

FW
Felix Wagner
DE · Course completed

Wow, what an inspiring course! The practical labs on TensorFlow for time‑series forecasting blew my mind – I built a model that now predicts sales trends for my startup. The course books are up‑to‑date, and the case studies from real‑world AI projects helped me see how theory meets practice. I’m thrilled with the knowledge I gained and can already see a positive impact on my career.

RK
Rahul Kapoor
IN · Course completed

The एआई प्रोजेक्ट डेटा विश्लेषण program provided a thorough, step‑by‑step exploration of data analysis techniques. I particularly appreciated the detailed walkthrough of feature engineering using R, and the assignment where we implemented a clustering algorithm to segment customers. The course materials, including the downloadable Jupyter notebooks and reference articles, were comprehensive and well‑organized. My overall learning experience was highly satisfactory, and I feel equipped to tackle complex AI data projects.





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Recently updated!

May 2026