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डेटा विश्लेषण

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Overview

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Learning outcomes

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Course content

1

डेटा संग्रह

2

डेटा प्रसंस्करण

3

डेटा विश्लेषण तकनीक

4

डेटा दृश्यीकरण

5

डेटा निर्णय लेना

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
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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
OH
Oliver Hughes
GB · Course completed

Absolutely brilliant! The डेटा विश्लेषण course blew me away with its depth and relevance. I was particularly impressed by the module on predictive modelling using R – the step‑by‑step walkthrough helped me build a regression model that predicts customer churn, which I later presented to senior management. The course materials are top‑notch: crisp slides, interactive quizzes, and real‑world datasets that kept me engaged. My confidence in handling large data sets has skyrocketed, and I’m now recommending the course to all my colleagues.

MC
Michael Carter
US · Course completed

The "डेटा विश्लेषण" course at Stanmore School of Business was exactly what I needed to meet my learning goals. The curriculum covered data cleaning with Python’s pandas library, and I was able to apply those techniques to a real‑world sales dataset for my capstone project. The video lectures were clear, the downloadable notebooks were up‑to‑date, and the case studies reflected current industry challenges. Thanks to this course I can now confidently generate actionable insights for my team, and the certification has already opened doors to a new analytics role.

SL
Sophie Laurent
CA · Course completed

I took the डेटा विश्लेषण class because I wanted to move from spreadsheets to proper data tools. The course was super chill and easy to follow – the instructor broke down SQL queries into bite‑size chunks and showed how to visualise results in Tableau. One highlight was the hands‑on lab where we built a dashboard for a mock e‑commerce site; I actually used that dashboard at work to present weekly sales trends. The materials are solid, though I wish there were a few more advanced modules. Overall, I’m happy with what I learned and feel more equipped for my day‑to‑day tasks.

RK
Rahul Kapoor
IN · Course completed

The डेटा विश्लेषण program at Stanmore School of Business offered a detailed and structured learning path that aligned perfectly with my goal of becoming a data analyst. Each week I dived into specific topics – from exploratory data analysis using Python’s seaborn library to hypothesis testing with statistical rigor. A practical example that stood out was the assignment where I cleaned and visualized a public health dataset, which I later used in a community project to highlight disease trends. The course resources, including the comprehensive e‑book and weekly live Q&A sessions, were extremely helpful. While the pacing was a bit fast for some sections, the overall experience was highly rewarding.





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Recently updated!

May 2026