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Basics of Statistics


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Learners
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 Faculty
Mr. N Raja CA
Practising CA, PGDBA-Finance with Experience in Credit, Project Finance & Risk more>>
Course Offerings
82 Lecture Topics
7+ Hours of Video Lectures
Interactive Discussion Forum
2+ Course Files
Course Completion Certificate
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  • 180 Days access to HD Video Lecture delivered by industry experts
  • Interactive Discussion Forum for solving queries.
  • Course Completion Certificate
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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
Good basic concepts and step by step learning
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Course Expert
Mr. N Raja CA
A Practicing Chartered Accountant with tonnes of passion for teaching. He also holds a PGDBA - Finance from Symbiosis SCDL and a B.Com., from Loyola College, Chennai.

He has worked in State Bank of India as Assistant Vice President - Credit for a period of four years after which he started his own CA Practice. During the stint in SBI, he gained good experience in Mid Corporate Credit Analysis, Project Finance, Risk Assessment, etc.

He has handled various sessions on
a) Project Finance
b) Credit Risk Assessment
c) Entrepreneurship Development
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All batches are currently full