CBSE – Central Board of Secondary Education

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CBSE – Central Board of Secondary EducationCBSE – Central Board of Secondary Education
CBSE – Central Board of Secondary Education

Online Education template Based on HTML5.

Table: Webtake a seate Overview

Webtake a seate NI’me Catehead outry
मुख्य वेबसाइट (MAIN WEBSITE) Main Webtake a seate
परीक्षा संगम (PARIKSHA SANGAM) Results
सरस (SARAS) Educational Webtake a seate
शैक्षणिक वेबसाइट (ACADEMIC WEBSITE) Educational Webtake a seate
प्रशिक्षण त्रिवेणी (PRASHIKSHAN TRIVENI) Point outing

Webtake a seate Introduction

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Registrar Creation Date Server IP Registrant Email
National Informatics Centre 2004-12-31 18:19:36 164.100.187.100 N/A
CBSE - Central Board of Secondary Education

Ranking

Global Rank
#10834
Worldwide
Country Rank
#899
India
Category Rank
#32
Science_and_Education/Education

Visits Over Time

  • All Traffic
Bounce Rate
25.69%
Pages per Visit
3.57
Monthly Visits
5.614 M
Avg. Visit Duration
00:01:49

Top Keywords

  • Worldwide
  • Desktop Only
Keyword
Traffic
Volume
cbse.nic
35.15 K
124.34 K
--
cbse website
11.21 K
43.39 K
0.428714
cbse datesheet
11.62 K
12.04 K
--
cbse date sheet 2025
45.11 K
53.00 K
0.118761
cbse
194.61 K
793.16 K
0.430035

Geography

  • Desktop Only
Top 5 Countries
Country
Qatar
0.45%
Kuwait
0.47%
India
93.67%
Bahrain
0.43%
United Arab Emirates
3.10%

Traffic Sources

  • Worldwide
  • Desktop Only
Marketing Mix
Source
Search
70.83%
Direct
26.42%
Referrals
2.56%
Social
0.15%
Mail
0.02%
Paid Referrals
0.02%

data statistics

Data evaluation

CBSE – Central Board of Secondary Education has received 2 views on this website ;The CBSE – Central Board of Secondary Education data provided on this website is an estimate and is for reference only! The actual IP, PV, bounce rate and other data shall be subject to the official data!

About CBSE – Central Board of Secondary EducationSpecial statement

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Relevant Navigation

hadley

hadley

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.

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