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आर्थिक सांख्यिकी

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Overview

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Learning outcomes

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Course content

1

सांख्यिकी परिचय

2

सांख्यिकी विधियाँ

3

आर्थिक संकेतक

4

आर्थिक विश्लेषण

5

सांख्यिकी अनुप्रयोग

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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:

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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
ST
Sarah Thompson
GB · Course completed

Loved the "आर्थिक सांख्यिकी" course – it was both practical and easy to follow. I was looking to brush up on my econometrics for a new role in finance, and the course gave me a solid refresher on panel data techniques and time‑series forecasting. The real‑world UK‑based datasets used in the labs made the concepts click, and the video recordings were top‑notch quality. I especially appreciated the quick quizzes that kept me on track. By the end, I could run a VAR model on inflation data and explain the results to my team. A very worthwhile investment of time.

MC
Michael Carter
US · Course completed

The "आर्थिक सांख्यिकी" course at Stanmore School of Business exceeded my expectations. As a data‑driven marketer, I needed a solid grounding in economic statistics to interpret market trends. The modules on regression analysis and hypothesis testing gave me the exact tools I was looking for, and the hands‑on assignments using R helped me build a predictive model for customer churn. The lecture slides were clear, the case studies were relevant to US markets, and the instructor’s feedback was prompt. I can now confidently present statistical insights to senior leadership, which directly contributed to a 12% increase in campaign ROI. Overall, an outstanding learning experience.

AP
Ananya Patel
IN · Course completed

Wow! The "आर्थिक सांख्यिकी" program was exactly what I needed to boost my analytics career. I wanted to master statistical methods for economic research, and the course delivered with enthusiasm. The interactive R notebooks, especially the section on hypothesis testing with real Indian economic indicators, were super engaging. I learned to clean massive datasets, perform multivariate regression, and visualize outcomes with ggplot2 – skills I immediately applied to a project on rural income disparity. The study material was up‑to‑date, and the instructor’s lively explanations made complex topics feel simple. I’m thrilled with the confidence I now have in tackling data‑heavy assignments.

ZD
Zanele Dlamini
ZA · Course completed

The "आर्थिक सांख्यिकी" course offered a detailed and rigorous exploration of economic statistics that suited my academic background in development economics. The curriculum covered everything from descriptive statistics to advanced econometric modeling, with a particular focus on applied techniques using Stata. I found the module on cross‑sectional analysis especially useful for my research on unemployment trends in South Africa; the step‑by‑step tutorials enabled me to replicate the analysis and extend it with my own variables. Course materials, including the PDF handouts and supplemental datasets, were comprehensive and well‑organized. While the pacing was intense, the weekly Q&A sessions helped clarify doubts. Overall, the course significantly enhanced my quantitative skill set.





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May 2026