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Basics of Statistics - A Comprehensive Study (College Level)

Learn Fundamentals of Statistics with supporting case studies Video Course By Ca Raja Natarajan
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Students Enrolled: 0 Total Lecturs: 100
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What will I learn from this course?

  • Understand Basics of Statistics
  • Understand Deviations like Quartile Deviation, Standard Deviation, etc
  • Understand Regression
  • Understand Mean, Median and Mode
  • Understand Correlation

Requirements

  • Students can approach this course with fresh mind
  • No prior knowledge in Statistics is required

Who is the target audience?

  • CA / CMA / CS Students
  • Students pursuing CA / CMA / CS / Higher Secondary / Statistics courses
  • B.Com 1st Year Students

Course Curriculum

Total: 100 lectures

  • 4m 10s

    Introduction

  • 3m 58s

    History of Statistics Preview

  • 3m 10s

    Science of Statistics

  • 4m 23s

    Applications of Statistics

  • 2m 20s

    Limitations of Statistics

  • 4m 16s

    Collection of Data

  • 5m 12s

    Collection of Primary Data

  • 1m 34s

    Sources of Secondary Data

  • 5m 14s

    Presentation of Data

  • 1m 45s

    Frequency Presentation

  • 0m 46s

    Mode of Presentation of Data Preview

  • 1m 58s

    Textual Presentation of Data

  • 6m 28s

    Tabulation of Data

  • 2m 33s

    Diagrammatic representation of Data

  • 5m 51s

    Line Diagram

  • 5m 41s

    Bar Diagram

  • 5m 45s

    Multiple Line Chart

  • 2m 25s

    Multiple Bar Chart

  • 7m 01s

    Pie Chart

  • 5m 24s

    Frequency Distribution

  • 4m 08s

    Example for Frequecy Distribution Table

  • 7m 08s

    Frequency Distribution Tally Method

  • 2m 28s

    Continuous Frequency Distribution

  • 5m 47s

    Technical Terms of Continuous Frequency Distribution

  • 2m 38s

    No of Class Intervals

  • 1m 17s

    Size of Class Interval

  • 5m 11s

    Types of Class Intervals

  • 3m 49s

    Introduction Measures of Central Tendency Preview

  • 4m 41s

    Arithmetic Mean

  • 6m 13s

    Arithmetic Mean Short cut method

  • 9m 07s

    Arithmetic Mean Grouped data

  • 6m 58s

    Arithmetic Mean Class Intervals

  • 3m 51s

    Median

  • 2m 26s

    Median case study

  • 3m 44s

    Median Discrete Frequency Distribution

  • 4m 12s

    Case Study Median Discrete Frequency Distribution

  • 6m 54s

    Median Continuous Freqnuency Distribution

  • 6m 27s

    Median Continuous Frequency Distribution Exclusive Class Intervals

  • 12m 09s

    Median Graphics

  • 1m 13s

    Quartile

  • 4m 40s

    Quartile Raw or Ungrouped Data

  • 5m 33s

    Quartile Discrete Series

  • 3m 52s

    Quartile Continuous Series Explanation

  • 8m 44s

    Quartile Continuous Series Case Study

  • 3m 23s

    Deciles

  • 6m 38s

    Decile for Grouped Data Case Study

  • 3m 12s

    Percentile

  • 4m 19s

    Percentile Grouped Data Case Study

  • 4m 18s

    Mode

  • 3m 24s

    Mode for Grouped Data

  • 2m 54s

    Mode for Continuous Frequency Distribution Case Study

  • 5m 51s

    Mode for Continuous Frequency Distribution Case Study

  • 4m 39s

    Introduction Preview

  • 2m 35s

    Objectives of Measures of Dispersion

  • 2m 21s

    Expression of Dispersion

  • 1m 51s

    Important measures of dispersion

  • 4m 00s

    Range

  • 8m 22s

    Quarrtile Deviation

  • 14m 02s

    Case Study #1Quartile deviation

  • 5m 21s

    Case Study #2 Quarlite Deviation

  • 3m 23s

    Quartlie Deviation Continuous Frequency Distribution

  • 7m 56s

    Case Sudy Quartile Deviation Continuous Frequency Distribution

  • 4m 20s

    What is Standard Deviation

  • 2m 06s

    Variance and Coefficient of Variation

  • 3m 06s

    Procedure for Calculating Standard Deviation in Individual Series

  • 5m 23s

    Case#1 Standard Deviation

  • 3m 07s

    Standard Deviation Alternate formula

  • 3m 14s

    Case #2 Coefficient of Variation

  • 4m 17s

    Case#3 Standard Deviation

  • 1m 40s

    Case#4 Standard Deviation

  • 7m 36s

    Case#5 Standard Deviation

  • 3m 53s

    Standard Deviation in case of discrete frequency distribution

  • 9m 43s

    Case #6 Standard Deviation Discrete Frequency Distribution

  • 3m 57s

    Standard Deviation in case of Continuous frequency distribution

  • 6m 40s

    Case #7 Standard Deviation Continuous Frequency Distribution

  • 4m 39s

    Introduction Preview

  • 7m 34s

    Scatter Diagram

  • 5m 28s

    Types of correlation

  • 2m 38s

    Correlation computation

  • 10m 32s

    Case study 1 correlation

  • 9m 19s

    Case Study 2 correlation

  • 10m 09s

    Case Study 3 correlation

  • 5m 48s

    Correlation grouped data

  • 6m 25s

    Rank correlation

  • 13m 17s

    Rank Correlation in case of tie of ranks

  • 5m 02s

    Regression Analysis Introduction Preview

  • 5m 42s

    Types of Regression

  • 1m 55s

    Methods of Regression Analysis

  • 5m 59s

    Graphic Methods Regression Analysis

  • 4m 05s

    Regression Lines

  • 4m 14s

    Linear Regression Equation

  • 3m 07s

    Algebric Method of Regression Equation

  • 15m 14s

    Regression Equation Case Study 1

  • 5m 21s

    Regression Coefficient Explanation

  • 13m 23s

    Regression Coefficient Case Study 2

  • 12m 01s

    Mode Case Study Using Grouping Method

  • 2m 33s

    Time Series introduction Preview

  • 10m 07s

    Componets of Time Series

  • 3m 24s

    Graphical Method

  • 5m 49s

    Semi Average Method of Time Series

Description

Welcome to the course Basics of Statistics - A Comprehensive Study.

Statistics is required in every walk of business life to take decisions. When we take decision, it should be an informed one. Once we have statistics, we can be sure that decision is taken considering various factors. In this course, you will learn about the basics of statistics in depth covering

  • Introduction to Statistics
  • Collection of Data
  • Presentation of Data
  • Frequency Distribution
  • Measures of Central Tendency covering Arithmetic Mean, Median and Mode
  • Measures of Dispersion covering Range, Quartile Deviation and Standard Deviation
  • Correlation
  • Regression

This course is basically a bundle of other courses namely and you dont need to take the following courses

  • Basics of Business Statistics
  • Statistics - Measures of Central Tendency
  • Statistics - Measures of Dispersion
  • Statistics and Correlation

This is self paced course. Video lectures are used for delivering the course content. Numerous case studies were solved in hand written presentation.

Take this course to gain good knowledge in basics of statistics. (Please be guided that this course teaches Statistics only from Academic point of view. Hence, teaching style will be absolutely Academic based)

About Tutor

  • Tutor: Ca Raja Natarajan
  • Tests Packages: 9
  • Students: 11
4.4

I am a practicing Chartered Accountant with tonnes of passion for teaching.

I teach Financial Management & Strategic Financial Management for Chartered Accountancy, Cost and Management Accountancy and Company Secretary students in Ernakulam, India. I also hold Post Graduate Diploma in Business Administration in Finance from Symbiosis, Pune and Bachelors in Commerce, from Loyola College, Chennai.

I worked in State Bank of India as Assistant Vice President - Credit for a period of four years after which i started my Chartered Accountancy Practice. During the stint in State Bank of India, I worked on credit proposals of Mid Corporate Units and gained good experience in Financial Analysis, Risk Assessment, Viability Study, Evaluating business models, Project Finance, Working Capital Management, etc.

I conduct work shops for Entrepreneurs, Chartered Accountancy / Cost and Management Accountancy Students on the topics like Project Finance, Credit Risk Assessment, Entrepreneurship Development, Finance for Non Finance Executives, etc.

I love teaching and i want fundamentals of accounting and finance to reach students and so i am here.

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