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Business Statistics course by Dr. Mohd Saif Anwar

person icon Dr. Mohd Saif Anwar

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Business Statistics course by Dr. Mohd Saif Anwar

Learn Business Statistics

updated on icon Updated on Jun, 2025

language icon Language - Hindi

person icon Dr. Mohd Saif Anwar

category icon Finance and Accounting,Economics,Statistics

Lectures -84

Resources -21

Duration -39.5 hours

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Course Description

This Couse Include : 

1. INCOME TAX – INTRODUCTION AND DEFINATION 

2. RESIDENTIAL STATUS 

3. AGRICULTURAL INCOME 

4. INCOME FROM HOUSE PROPERTY 

5. CAPITAL GAIN 

6. INCOME FROM SALARY 

7. INCOME FROM OTHER SOURCES

 8. PGBP (Profit and Gains of Business or Profession)

 9. CLUBBING OF INCOME 

10. SET OFF & CARRY FORWARD OF LOSSES 

11. DEDUCTION SECTION 80C---80U 

12. TOTAL INCOME 

13. TAX LIABILITY

Goals

  • In this Course you will learn a lot of Knowledge and after complete this course you will excellent in Income tax. This course provide many chapter of income tax including Theories and Practical Problems and Practice etc.
  • After Complete this you achieve a lot of information related to Income tax and its calculation. And you can easily solve practical problems and understand theories of Income Tax.

Prerequisites

  • No Prerequisites Required
Business Statistics course by Dr. Mohd Saif Anwar

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to statistics

4 Lectures
  • play icon Lecture - 1 50:47 50:47
  • play icon Lecture - 2 50:42 50:42
  • play icon Lecture - 3 37:49 37:49
  • play icon Resources

Statistical investigation

3 Lectures
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Census & sample investigation

2 Lectures
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Collection of data

2 Lectures
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Editing of statistical data

3 Lectures
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Classification & tabulation

2 Lectures
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Time series

5 Lectures
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Index number

6 Lectures
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9.0-statistical average(mean)

7 Lectures
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9.1-statistical average(median)

4 Lectures
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9.2-statistical average(mode)

7 Lectures
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Partition value

4 Lectures
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Dispersion(range)

2 Lectures
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Dispersion(inter quartile range)

1 Lectures
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Dispersion(percentile range)

1 Lectures
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Dispersion(quartile deviation)

1 Lectures
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Dispersion(mean deviation)

4 Lectures
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Dispersion(standard deviation)

6 Lectures
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Skewness

6 Lectures
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Correlation(1. karl person)

10 Lectures
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Correlation(2.spearman)

4 Lectures
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Instructor Details

Dr. Mohd Saif Anwar

Dr. Mohd Saif Anwar

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