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Diploma in Statistics

Rs.6,000 Rs.3,000

IISDT Offers 50% discount on all courses. Enroll your course today to avail discount offer. Government Job Valid Diploma/Certificate.

statistics course is generally intended for individuals majoring in the natural sciences, mathematics, or secondary math education.

Students manipulate data and estimate the probability of an event occurring.


Course Name: Diploma in Statistics
Course Id: DIS/Q1001.
Education Qualification: 12th Pass.

Duration: 370 Hrs (Equivalent to One Year).

Total Credits: 18.

How You will Get Diploma Certificate:

Step 1- Select your Course for Certification.

Step 2- Click on Enroll Now.

Step 3- Proceed to Enroll Now.

Step 4- Fill Your Billing Details and Proceed to Pay.

Step 5- You Will be Redirected to Payment Gateway, Pay Course and Exam Fee by Following Options.

Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 6- After Payment You will get Study Material Login id and Password on your email id.

Step 7- After Completion of  Course Study give Online Examination.

Step 8- After Online Examination you will get Diploma Certificate soft copy(Scan Copy) and Hard Copy(Original With Seal and Sign).

Step 9- After Certification you will receive Prospect Job Opportunities as per your Interest Area.

Online Examination Detail:

  • Duration- 120 minutes.
  • No. of Questions- 60. (Multiple Choice Questions).
  • 10 Questions from each module, each carry 10 marks.
  • Maximum Marks- 600, Passing Marks- 40%.
  • There is no negative marking in this module.
How Students will be Graded:
191-100O (Outstanding)
281-90A+ (Excellent)
371-80A (Very Good)
461-70B (Good)
551-60C (Average)
641-50P (Pass)
70-40F (Fail)

Benefits of Certification:

  • Government Authorized Assessment Agency Certification.
  • Certificate Valid for Lifetime.
  • Lifetime Verification of Certificate.
  • Free Job Assistance as per your Interest Area.

Diploma in Statistics

 General nature and scope of statistical methods-Introduction, Definition, Statistics are aggregate of facts, Statistics are affected to a marked extent by a multiplicity of causes, Statistics are numerically expressed, enumerated or estimated, Statistics are numerated or estimated according to reasonable standard of accuracy, Statistics should be collected in a systematic manner for a predetermined purpose, Statistics should be capable of being placed in relation to each other, To simplify unwieldy and complex data.

Elementary ideas about statistical populations- Introduction, What Are Statistics, Importance of Statistics, Descriptive Statistics, Inferential Statistics, Variables, Percentiles, Levels of Measurement, Distributions, Summation Notation, Linear Transformations, Logarithms, Graphing Distributions, Graphing Qualitative Variables, Graphing Quantitative Variables, Stem and Leaf Displays, Histograms, Frequency Polygons, Summarizing Distributions, What is Central Tendency, Measures of Central Tendency.

Elementary idea of probability- Introduction, Probability, Conditional Probability and Independence, Counting, Random Variables: Distribution and Expectation, Random Vectors: Independence and Dependence, Generating Functions and Their Applications, Continuous Random Variables, Jointly Continuous Random Variables, Markov Chains.

Design and analysis of experiments- Principles and Techniques, Planning Experiments, Designs with One Source of Variation, Inferences for Contrasts and Treatment Means, Checking Model Assumptions, Experiments with Two Crossed Treatment Factors, Several Crossed Treatment Factors, Polynomial Regression, Analysis of Covariance, Complete Block Designs, Incomplete Block Designs, Designs with Two Blocking Factors, Confounded Two-Level Factorial Experiments.

Elementary theory of index numbers- Introduction, Laspeyres and Paasche indices, Symmetric Averages of Fixed-Basket Price Indices, Walsh index and theory of “pure” price index, Conclusions, Annual Weights and Monthly, Price Indices, Lowe index and midyear indices, young index, Divisia Index and Discrete, Approximations, Discrete approximations to, continuous-time Divisia index.

Statistical methods in Psychology and Education- Introduction, Some Scaling Procedures, Scaling Individual Test Items of Difficulty, Scaling of Test scores in several Tests, Percentile scaling, T- Scaling, Method of equivalent scores, Scaling of Rating or ranking to term of normal curve, Scaling of Qualitative answers to a questionnaires, Scaling of Judgements of a Number of Products- Product scale, Norms and reference groups.