This Online Training Course is a comprehensive study of Statistics, delivered by a leading finance expert and practising Chartered Accountant. This course will expose you to the concepts of Data Collection, Presentation, Frequency Distribution, Measures of Central Tendency, Measures of Dispersion, Correlation, Regression and more
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Course Overview
This Online Training Course is a comprehensive study of Statistics, delivered by a leading finance expert and practising Chartered Accountant.This course will expose you to the concepts of Data Collection, Presentation, Frequency Distribution, Measures of Central Tendency, Measures of Dispersion, Correlation, Regression and more.
Course Curriculum
| 1 | Introduction Preview | 03:11 |
| 2 | History of Statistics | 03:58 |
| 3 | Science of Statistics Preview | 03:11 |
| 4 | Applications of Statistics | 04:23 |
| 5 | Limitations of Statistics | 02:20 |
| 6 | Collection of Data | 04:17 |
| 7 | Collection of Primary Data | 05:12 |
| 8 | Sources of Secondary Data | 01:34 |
| 9 | Presentation of Data | 05:15 |
| 10 | Frequency Presentation | 01:46 |
| 11 | Mode of Presentation of Data | 00:47 |
| 12 | Textual Presentation of Data | 01:58 |
| 13 | Tabulation of Data | 06:29 |
| 14 | Diagrammatic representation of Data | 02:33 |
| 15 | Line Diagram | 05:52 |
| 16 | Bar Diagram | 05:42 |
| 17 | Multiple Line Chart | 05:46 |
| 18 | Multiple Bar Chart | 02:26 |
| 19 | Pie Chart | 07:01 |
| 20 | Frequency Distribution | 05:24 |
| 21 | Example for Frequecy Distribution Table | 04:09 |
| 22 | Frequency Distribution Tally Method | 07:08 |
| 23 | Continuous Frequency Distribution | 02:29 |
| 24 | Technical Terms of Continuous Frequency Distribution | 05:48 |
| 25 | No. of Class Intervals | 02:38 |
| 26 | Size of Class Interval | 01:18 |
| 27 | Types of Class Intervals | 05:11 |
| 28 | Introduction Measures of Central Tendency | 03:50 |
| 29 | Arithmetic Mean | 04:42 |
| 30 | Arithmetic Mean Short cut method | 06:14 |
| 31 | Arithmetic Mean Grouped data | 09:08 |
| 32 | Arithmetic Mean Class Intervals | 06:59 |
| 33 | Median | 03:52 |
| 34 | Median case study | 02:26 |
| 35 | Median Discrete Frequency Distribution | 03:45 |
| 36 | Case Study Median Discrete Frequency Distribution | 04:13 |
| 37 | Median Continuous Freqnuency Distribution | 06:54 |
| 38 | Median Continuous Frequency Distribution Exclusive Class Intervals | 06:27 |
| 39 | Median graphics | 12:09 |
| 40 | Introduction | 04:39 |
| 41 | Objectives of Measures of Dispersion | 02:36 |
| 42 | Expression of dispersion | 02:21 |
| 43 | Important measures of dispersion | 01:52 |
| Case Study Material - Range | ||
| 44 | Range | 04:01 |
| Case Study Material Quartile deviation | ||
| 45 | Quartile deviation | 08:22 |
| 46 | Case Study #1Quartile deviation | 14:02 |
| 47 | Case Study #2Quartile deviation | 05:22 |
| 48 | Quartlie Deviation Continuous Frequency Distribution | 03:24 |
| 49 | Case Sudy Quartile Deviation Continuous Frequency Distribution | 07:57 |
| 50 | What is Standard Deviation | 04:21 |
| 51 | Variance and Coefficient of Variation | 02:07 |
| 52 | Procedure for Calculating Standard Deviation in Individual Series | 03:06 |
| 53 | Case#1 Standard Deviation | 05:24 |
| 54 | Standard Deviation Alternate formula | 03:07 |
| 55 | Case #2 Coefficient of Variation | 03:15 |
| 56 | Case#3 Standard Deviation | 04:18 |
| 57 | Case#4 Standard Deviation | 01:41 |
| 58 | Case#5 Standard Deviation | 07:36 |
| 59 | Standard Deviation in case of discrete frequency distribution | 03:54 |
| 60 | Case #6 Standard Deviation Discrete Frequency Distribution | 09:43 |
| 61 | Standard Deviation in case of Continuous frequency distribution | 03:57 |
| 62 | Case #7 Standard Deviation Continuous Frequency Distribution | 06:40 |
| 63 | Introduction | 04:40 |
| 64 | Scatter Diagram | 07:34 |
| 65 | Types of correlation | 05:29 |
| 66 | Correlation computation | 02:38 |
| 67 | Case study 1 correlation | 10:33 |
| 68 | Case Study 2 correlation | 09:19 |
| 69 | Case Study 3 correlation | 10:10 |
| 70 | Correlation grouped data | 05:49 |
| 71 | Rank correlation | 06:26 |
| 72 | Rank Correlation in case of tie of ranks | 13:17 |
| 73 | Regression Analysis Introduction | 05:02 |
| 74 | Types of Regression | 05:42 |
| 75 | Methods of Regression Analysis | 01:56 |
| 76 | Graphic Methods Regression Analysis | 05:59 |
| 77 | Regression Lines | 04:05 |
| 78 | Linear Regression Equation | 04:14 |
| 79 | Algebric Method of Regression Equation | 03:08 |
| 80 | Regression Equation Case Study 1 | 15:14 |
| 81 | Regression Coefficient Explanation | 05:21 |
| 82 | Regression Coefficient Case Study 2 | 13:24 |
| Final Exam - Basics of Statistics |
Eligibility Criteria
The ideal target audience for this course include students pursuing CA/CMA/CS/Higher Secondary/Statistics courses. It also includes first year commerce students and first year MBA students who wish to learn and understand Statistics. Ratings & Reviews
Mr. PRATIKKUMAR DHANSUKHBHAI TANDEL
Engineer, ISGEC Hitachi Zosen Ltd
Engineer, ISGEC Hitachi Zosen Ltd
Good basic concepts and step by step learning
