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Basics of Statistics - A Comprehensive Study (College Level)

Learn Fundamentals of Statistics with supporting case studies

COURSE
0
Students Enrolled : 0
Total lectures : 100

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

About Tutor

Ca raja natarajan
Course: 10
Students: 11

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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