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Basics of Statistics - A Comprehensive Study (College Level)

Learn Fundamentals of Statistics with supporting case studies

COURSE
Enrolled : 0
lectures : 100
0

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

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)

Course Curriculum

  • Introduction 4m 10s Preview
  • History of Statistics 3m 58s Preview
  • Science of Statistics 3m 10s Preview
  • Applications of Statistics 4m 23s Preview
  • Limitations of Statistics 2m 20s Preview
  • Collection of Data 4m 16s Preview
  • Collection of Primary Data 5m 12s Preview
  • Sources of Secondary Data 1m 34s Preview
  • Presentation of Data 5m 14s Preview
  • Frequency Presentation 1m 45s Preview
  • Mode of Presentation of Data 0m 46s Preview
  • Textual Presentation of Data 1m 58s Preview
  • Tabulation of Data 6m 28s Preview
  • Diagrammatic representation of Data 2m 33s Preview
  • Line Diagram 5m 51s Preview
  • Bar Diagram 5m 41s Preview
  • Multiple Line Chart 5m 45s Preview
  • Multiple Bar Chart 2m 25s Preview
  • Pie Chart 7m 01s Preview
  • Frequency Distribution 5m 24s Preview
  • Example for Frequecy Distribution Table 4m 08s Preview
  • Frequency Distribution Tally Method 7m 08s Preview
  • Continuous Frequency Distribution 2m 28s Preview
  • Technical Terms of Continuous Frequency Distribution 5m 47s Preview
  • No of Class Intervals 2m 38s Preview
  • Size of Class Interval 1m 17s Preview
  • Types of Class Intervals 5m 11s Preview
  • Introduction Measures of Central Tendency 3m 49s Preview
  • Arithmetic Mean 4m 41s Preview
  • Arithmetic Mean Short cut method 6m 13s Preview
  • Arithmetic Mean Grouped data 9m 07s Preview
  • Arithmetic Mean Class Intervals 6m 58s Preview
  • Median 3m 51s Preview
  • Median case study 2m 26s Preview
  • Median Discrete Frequency Distribution 3m 44s Preview
  • Case Study Median Discrete Frequency Distribution 4m 12s Preview
  • Median Continuous Freqnuency Distribution 6m 54s Preview
  • Median Continuous Frequency Distribution Exclusive Class Intervals 6m 27s Preview
  • Median Graphics 12m 09s Preview
  • Quartile 1m 13s Preview
  • Quartile Raw or Ungrouped Data 4m 40s Preview
  • Quartile Discrete Series 5m 33s Preview
  • Quartile Continuous Series Explanation 3m 52s Preview
  • Quartile Continuous Series Case Study 8m 44s Preview
  • Deciles 3m 23s Preview
  • Decile for Grouped Data Case Study 6m 38s Preview
  • Percentile 3m 12s Preview
  • Percentile Grouped Data Case Study 4m 19s Preview
  • Mode 4m 18s Preview
  • Mode for Grouped Data 3m 24s Preview
  • Mode for Continuous Frequency Distribution Case Study 2m 54s Preview
  • Mode for Continuous Frequency Distribution Case Study 5m 51s Preview
  • Introduction 4m 39s Preview
  • Objectives of Measures of Dispersion 2m 35s Preview
  • Expression of Dispersion 2m 21s Preview
  • Important measures of dispersion 1m 51s Preview
  • Range 4m 00s Preview
  • Quarrtile Deviation 8m 22s Preview
  • Case Study #1Quartile deviation 14m 02s Preview
  • Case Study #2 Quarlite Deviation 5m 21s Preview
  • Quartlie Deviation Continuous Frequency Distribution 3m 23s Preview
  • Case Sudy Quartile Deviation Continuous Frequency Distribution 7m 56s Preview
  • What is Standard Deviation 4m 20s Preview
  • Variance and Coefficient of Variation 2m 06s Preview
  • Procedure for Calculating Standard Deviation in Individual Series 3m 06s Preview
  • Case#1 Standard Deviation 5m 23s Preview
  • Standard Deviation Alternate formula 3m 07s Preview
  • Case #2 Coefficient of Variation 3m 14s Preview
  • Case#3 Standard Deviation 4m 17s Preview
  • Case#4 Standard Deviation 1m 40s Preview
  • Case#5 Standard Deviation 7m 36s Preview
  • Standard Deviation in case of discrete frequency distribution 3m 53s Preview
  • Case #6 Standard Deviation Discrete Frequency Distribution 9m 43s Preview
  • Standard Deviation in case of Continuous frequency distribution 3m 57s Preview
  • Case #7 Standard Deviation Continuous Frequency Distribution 6m 40s Preview
  • Introduction 4m 39s Preview
  • Scatter Diagram 7m 34s Preview
  • Types of correlation 5m 28s Preview
  • Correlation computation 2m 38s Preview
  • Case study 1 correlation 10m 32s Preview
  • Case Study 2 correlation 9m 19s Preview
  • Case Study 3 correlation 10m 09s Preview
  • Correlation grouped data 5m 48s Preview
  • Rank correlation 6m 25s Preview
  • Rank Correlation in case of tie of ranks 13m 17s Preview
  • Regression Analysis Introduction 5m 02s Preview
  • Types of Regression 5m 42s Preview
  • Methods of Regression Analysis 1m 55s Preview
  • Graphic Methods Regression Analysis 5m 59s Preview
  • Regression Lines 4m 05s Preview
  • Linear Regression Equation 4m 14s Preview
  • Algebric Method of Regression Equation 3m 07s Preview
  • Regression Equation Case Study 1 15m 14s Preview
  • Regression Coefficient Explanation 5m 21s Preview
  • Regression Coefficient Case Study 2 13m 23s Preview
  • Mode Case Study Using Grouping Method 12m 01s Preview
  • Time Series introduction 2m 33s Preview
  • Componets of Time Series 10m 07s Preview
  • Graphical Method 3m 24s Preview
  • Semi Average Method of Time Series 5m 49s Preview

About Tutor

Ca raja natarajan
Course: 10
Students: 10

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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