P G Diploma Applied, Statistics With Software

Post Graduate Diploma

Online

₹ 85,000 VAT incl.

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Description

  • Type

    Post Graduate Diploma

  • Methodology

    Online

  • Duration

    1 Year

  • Start date

    Different dates available

  • Online campus

    Yes

Statistics has become a vital tool of data analysis and valid inference in almost all
fields in the present era. Statistical techniques are applied in Finance, Insurance,
Marketing, Manufacturing, Social Sciences, Health Sciences and Software Designing
etc. A huge volume of data is generated in these fields every day. Processing and
Management of this data has become a vital need of the hour. This necessitates a
pertinent exposure to various Statistical Techniques to all the users.
Processing and management of this voluminous data using computerized
Statistical packages has become essential in the current era.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

GRADUATION PASSED

GRADUATION PASSED

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Subjects

  • Management
  • Basic
  • Basic IT
  • Data analysis
  • IT Management
  • Marketing Research
  • Marketing
  • Mathematical Statistics
  • Probability
  • Statistics

Teachers and trainers (1)

SNEHA  SHARMA

SNEHA SHARMA

COUNSELOR

Course programme

Subject Title Internal External Total Paper I Basic Statistics 40 60 100 Paper II Marketing Research 40 60 100 Paper III Regression and Linear Model 40 60 100 Paper IV Decision Making and Forecasting 40 60 100 Paper V Six sigma &Statistical Process Control 40 60 100 Paper VI Medical Statistics 40 60 100 Paper VII Multivariate Techniques 40 60 100 Paper VIII Communication Skills , Accounting & Project 100 --- 100 First term will consist of first four papers & Second term will consist of next four papers & project work. Internal Exam will be held only once in each term. Detailed syllabus for the subject: PAPER I: BASIC STATISTICS 1. Exploratory Data Analysis 2. Concepts of Probability 3 Concepts of Random Variable, Probability distribution, Distribution Function, Expected Value, Variance and Higher Moments. 4 Probability generating function, moment generating function, cumulate generating function and cumulant. 5 Basic discrete and continuous distributions. 6 Concepts of independence, jointly distributed random variables and conditional distributions, use of generating functions. 7 Central limit theorem and its application 8 Concepts of random sampling, statistical inference and sampling distribution. 9 Methods of estimation and properties of estimators. 10 Confidence intervals for unknown parameters. 11 Testing of hypothesis 12 Concepts of conditional expectation and compound distribution 13 Simulation Reference Books: 1. Anderson David R., Sweeny Dewis J. and Williams Thomas A (2004): Statistics for business and economics. 2. Hogg, R., and A. Craig: Introduction to Mathematical Statistics, The Macmillan company, New York, 1959. 3. Levin Richard I and Rubin Deavid S (1994)Statistics for management. Mathematical Statistics with application. 4. Rohatgi V. K. & A. K. MD. Ehsanes Saleh (2001): An Introduction to probability theory and Mathematical Statistics Second Edition. 5. Wackesly D.D,Mondonhall III, William and Scheffer R. L.(2002):Mathematical Statistics with applications 6. Mood Alexander M., Graybill Franklin A.:(1950) Introduction to the theory of StatisticsSecond Edition,McGraw –Hill Book Company Inc. PAPER II: MARKETING RESEARCH 1. Definition of marketing research and market research, need for marketing research, requirement of good marketing research, manager researcher relationship, competitive and complex nature of Indian markets, role of research in new product development, packaging, branding, positioning, distribution and pricing, ethics in Business Research. 2. Steps in marketing Research. 3 Techniques for identifying management problem and research problem. 4. Meaning & types of research designs-exploratory, descriptive and casual. 5. Exploratory research designs, Sampling & data collection methods 6. Causal research designs: Data collection methods 7. Descriptive research design: Sampling methods, Types of scales, questionnaire design 8. Preparations research proposal 9. Objectives and data needs for consumer research. 10 Objectives and data needs for product research. 11. Objectives and data needs for pricing research 12. Objectives and data needs for advertising research. 13. Consumer segmentation techniques: Chi-square test of independence,

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P G Diploma Applied, Statistics With Software

₹ 85,000 VAT incl.