This Online Training Course on Statistics for Beginners, is a comprehensive course delivered by an Independent Consultant and PhD in Statistics.
The Course covers Data Classification, Tabulation, Central Tendency, Time Series Analysis, Simple Correlation and Regression, Sampling Theory, Probabilities and more.
Course Offerings
17 lecture topics
Live video interaction
Interactive discussion forum
Special Add-ons (Free with Course)
Certificate
Course Completion Certificate *Important: Course Completion Certificate will be awarded on completion of all video lectures and the Final Exam
Classification, Tabulation & Presentation of data Part 1
14:43
3
Classification, Tabulation & Presentation of data Part 2
21:15
4
Classification, Tabulation & Presentation of data Part 3
14:30
5
Measures of Central Tendency Part 1
11:24
6
Measures of Central Tendency Part 2
23:21
7
Time Series Part 1
17:12
8
Time Series Part 2
23:02
9
Correlation and Regression Part 1
14:06
10
Correlation and Regression Part 2
09:52
11
Correlation and Regression Part 3
14:42
12
Correlation and Regression Part 4
12:26
13
Index Numbers Part 1
09:49
14
Index Numbers Part 2
14:45
15
Sampling Theory Part 1
20:31
16
Sampling Theory Part 2
16:51
17
Probability Theory
21:13
Final Exam - Statistics for beginners
Course Eligibility
Participants interested in understanding statistics and its methods. This course does not require any prior knowledge of Statistics. Basic familiarity with algebra will be helpful.
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 Offerings
82 lecture topics
Live video interaction
Interactive discussion forum
2+ course files
Special Add-ons (Free with Course)
Certificate
Course Completion Certificate *Important: Course Completion Certificate will be awarded on completion of all video lectures and the Final Exam
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
III
Measures of Central Tendency
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
IV
Measures of Dispersion
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
V
Correlation
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
VI
Regression Analysis
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
Course Eligibility
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.
