Business Statistics course by Dr. Mohd Saif Anwar

4.1 ★★★★ ★

Business Statistics course by Dr. Mohd Saif Anwar

Name: Business Statistics course by Dr. Mohd Saif Anwar
Rating: 4.1 (368 reviews)
Author: Dr. Mohd Saif Anwar

Learn Business Statistics

updated on icon Updated on May, 2024

language icon Language - Hindi

person icon Dr. Mohd Saif Anwar

category icon Business,Business Analytics & Intelligence,Statistics

Lectures -84

Resources -21

Duration -39.5 hours

4.1 ★★★★ ★

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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

What will you learn in this course:

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

What are the prerequisites for this course?

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

Lecture - 1 50:47 50:47
Lecture - 2 50:42 50:42
Lecture - 3 37:49 37:49
Resources

Statistical investigation
3 Lectures

Census & sample investigation
2 Lectures

Collection of data
2 Lectures

Editing of statistical data
3 Lectures

Classification & tabulation
2 Lectures

Time series
5 Lectures

Index number
6 Lectures

9.0-statistical average(mean)
7 Lectures

9.1-statistical average(median)
4 Lectures

9.2-statistical average(mode)
7 Lectures

Partition value
4 Lectures

Dispersion(range)
2 Lectures

Dispersion(inter quartile range)
1 Lectures

Dispersion(percentile range)
1 Lectures

Dispersion(quartile deviation)
1 Lectures

Dispersion(mean deviation)
4 Lectures

Dispersion(standard deviation)
6 Lectures

Skewness
6 Lectures

Correlation(1. karl person)
10 Lectures

Correlation(2.spearman)
4 Lectures

Instructor Details

Dr. Mohd Saif Anwar

Course Certificate

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