Last updated 11/2022Course Language EnglishCourse Caption Course Length 21:20:47 to be exact 76847 seconds!Number of Lectures 156
This course includes:
21.5 hours hours of on-demand video
Full lifetime access
Access on mobile and TV
Certificate of completion
192 additional resources
Random Variables
Discrete Random Variables and its Probability Mass Function
Continuous Random Variables and its Probability Density Function
Cumulative Distribution Function and its properties and application
Special Distribution
Two - Dimensional Random Variables
Marginal Probability Distribution
Conditional Probability Distribution
Independent Random Variables
Function of One Random Variable
One Function of Two Random Variables
Two Functions of Two Random Variables
Statistical Averages
Measures of Central Tendency (Mean, Median, Mode, Geometric Mean and Harmonic Mean)
Mathematical Expectations and Moments
Measures of Dispersion (Quartile Deviation, Mean Deviation, Standard Deviation and Variance)
Skewness and Kurtosis
Expected Values of Two-Dimensional Random Variables
Linear Correlation
Correlation Coefficient and its properties
Rank Correlation Coefficient
Linear Regression
Equations of the Lines of Regression
Standard Error of Estimate of Y on X and of X on Y
Characteristic Function and Moment Generating Function
Bounds on Probabilities
In today’s engineering curriculum, topics on probability and statistics play a major role, as the statistical methods are very helpful in analyzing the data and interpreting the results.When an aspiring engineering student takes up a project or research work, statistical methods become very handy.Hence, the use of a well-structured course on probability and statistics in the curriculum will help students understand the concept in depth, in addition to preparing for examinations such as for regular courses or entry-level exams for postgraduate courses.In order to cater the needs of the engineering students, content of this course, are well designed. In this course, all the sections are well organized and presented in an order as the contents progress from basics to higher level of statistics.As a result, this course is, in fact, student friendly, as I have tried to explain all the concepts with suitable examples before solving problems.This 150+ lecture course includes video explanations of everything from Random Variables, Probability Distribution, Statistical Averages, Correlation, Regression, Characteristic Function, Moment Generating Function and Bounds on Probability, and it includes more than 90+ examples (with detailed solutions) to help you test your understanding along the way. "Master Complete Statistics For Computer Science - I" is organized into the following sections:IntroductionDiscrete Random VariablesContinuous Random VariablesCumulative Distribution FunctionSpecial DistributionTwo - Dimensional Random VariablesRandom VectorsFunction of One Random VariableOne Function of Two Random VariablesTwo Functions of Two Random Variables Measures of Central TendencyMathematical Expectations and MomentsMeasures of DispersionSkewness and KurtosisStatistical Averages - Solved ExamplesExpected Values of a Two-Dimensional Random VariablesLinear CorrelationCorrelation CoefficientProperties of Correlation CoefficientRank Correlation CoefficientLinear RegressionEquations of the Lines of RegressionStandard Error of Estimate of Y on X and of X on YCharacteristic Function and Moment Generating FunctionBounds on ProbabilitiesWho this course is for:Current Probability and Statistics studentsStudents of Machine Learning, Artificial Intelligence, Data Science, Computer Science, Electrical Engineering , as Statistics is the prerequisite course to Machine Learning, Data Science, Computer Science and Electrical EngineeringAnyone who wants to study Statistics for fun after being away from school for a while.
Course Content:
Sections are minimized for better readability, click the section title to view the course content
3 Lectures | 18:37
Master Complete Statistics For Computer Science - I
02:38
Course Structure and Curriculum
06:35
Random Variables Definition
09:24
5 Lectures | 37:42
Discrete Random Variables - Concept
03:20
Discrete Random Variables - Solved Example 1 and 2
09:56
Discrete Random Variables - Solved Example 3
06:05
Discrete Random Variables - Solved Example 4
09:16
Discrete Random Variables - Solved Example 5
09:05
8 Lectures | 58:56
Continuous Random Variables - Concept
05:37
Continuous Random Variables - Solved Example 1 and 2
11:49
Continuous Random Variables - Solved Example 3
09:08
Continuous Random Variables - Solved Example 4
04:30
Continuous Random Variables - Solved Example 5
09:00
Continuous Random Variables - Solved Example 6
05:00
Continuous Random Variables - Solved Example 7
06:56
Continuous Random Variables - Solved Example 8
06:56
7 Lectures | 46:39
Cumulative Distribution Function - Concept
02:43
Cumulative Distribution Function - Solved Example 1
08:02
Cumulative Distribution Function - Solved Example 2
06:16
Cumulative Distribution Function - Solved Example 3
03:57
Cumulative Distribution Function - Solved Example 4
08:26
Cumulative Distribution Function - Solved Example 5
03:47
Cumulative Distribution Function - Solved Example 6
13:28
4 Lectures | 21:51
Special Discrete Distribution
02:45
Special Continuous Distribution
04:47
Special Distribution - Solved Example 1
08:30
Special Distribution - Solved Example 2
05:49
15 Lectures | 02:21:21
Two - Dimensional Random Variables - Concept
06:27
Cumulative Distribution Function - Concept
03:23
Marginal Probability Distribution - Concept
05:38
Conditional Probability Distribution - Concept
06:14
Two - Dimensional Random Variables - Solved Example 1
11:01
Two - Dimensional Random Variables - Solved Example 2
09:56
Two - Dimensional Random Variables - Solved Example 3
20:45
Two - Dimensional Random Variables - Solved Example 4
08:26
Two - Dimensional Random Variables - Solved Example 5
16:46
Two - Dimensional Random Variables - Solved Example 6
06:14
Two - Dimensional Random Variables - Solved Example 7
09:08
Two - Dimensional Random Variables - Solved Example 8
07:57
Two - Dimensional Random Variables - Solved Example 9
11:23
Two - Dimensional Random Variables - Solved Example 10
14:56
Two - Dimensional Random Variables - Solved Example 11
03:07
1 Lectures | 05:55
Random Vectors - Concept
05:55
12 Lectures | 01:34:17
Function of One Random Variable - Concept
10:06
Function of One Random Variable - Solved Example 1 and 2
08:41
Function of One Random Variable - Solved Example 3
07:21
Function of One Random Variable - Solved Example 4 and 5
07:40
Function of One Random Variable - Solved Example 6
06:49
Function of One Random Variable - Solved Example 7
09:39
Function of One Random Variable - Solved Example 8 and 9
07:38
Function of One Random Variable - Solved Example 10
06:26
Function of One Random Variable - Solved Example 11
06:02
Function of One Random Variable - Solved Example 12
08:08
Function of One Random Variable - Solved Example 13
05:34
Function of One Random Variable - Solved Example 14
10:13
5 Lectures | 33:39
One Function of Two Random Variables - Result 1, Solved Example 1
07:53
One Function of Two Random Variables - Result 1, Solved Example 2
03:28
One Function of Two Random Variables - Result 1, Solved Example 3
09:49
One Function of Two Random Variables - Result 2, Solved Example 1
05:18
One Function of Two Random Variables - Result 3, Solved Example 1
07:11
6 Lectures | 53:17
Two Functions of Two Random Variables - Concept, Solved Example 1
14:51
Two Functions of Two Random Variables - Solved Example 2
07:52
Two Functions of Two Random Variables - Solved Example 3
06:19
Two Functions of Two Random Variables - Solved Example 4
07:07
Two Functions of Two Random Variables - Solved Example 5
08:57
Two Functions of Two Random Variables - Solved Example 6
08:11
2 Lectures | 12:18
Measures of Central Tendency - Concept
07:22
Measures of Central Tendency - Solved Example 1
04:56
2 Lectures | 13:53
Mathematical Expectations and Moments - Concept
05:16
Relation Between Central and Non-Central Moments - Concept
08:37
11 Lectures | 01:27:16
Measures of Dispersion (Quartile Deviation) - Concept
06:08
Measures of Dispersion (Quartile Deviation) - Solved Example 1
06:41
Measures of Dispersion (Mean Deviation) - Concept
06:52
Measures of Dispersion (Standard Deviation and Variance) - Concept
05:37
Measures of Dispersion (Standard Deviation and Variance) - Solved Example 1 & 2
10:57
Measures of Dispersion (Standard Deviation and Variance) - Solved Example 3
09:06
Measures of Dispersion (Standard Deviation and Variance) - Solved Example 4
06:35
Measures of Dispersion (Standard Deviation and Variance) - Solved Example 5
10:19
Measures of Dispersion (Standard Deviation and Variance) - Solved Example 6
09:17
Measures of Dispersion (Standard Deviation and Variance) - Solved Example 7
08:13
Measures of Dispersion (Standard Deviation and Variance) - Solved Example 8 & 9
07:31
4 Lectures | 23:02
Skewness - Concept
03:53
Skewness - Solved Example 1
08:56
Kurtosis - Concept
03:56
Kurtosis - Solved Example 1
06:17
3 Lectures | 47:03
Statistical Averages - Solved Example 1
17:55
Statistical Averages - Solved Example 2
08:58
Statistical Averages - Solved Example 3
20:10
7 Lectures | 59:53
Expected Values of a Two-Dimensional RVs - Concept and Solved Example 1
05:43
Expected Values of a Two-Dimensional RVs - Properties
07:59
Expected Values of a Two-Dimensional RVs - Solved Example 1
07:45
Conditional Expected Values of a Two-Dimensional RVs - Concept
04:18
Conditional Expected Values of a Two-Dimensional RVs - Properties
07:37
Conditional Expected Values of a Two-Dimensional RVs - Solved Example 1
07:52
Conditional Expected Values of a Two-Dimensional RVs - Solved Example 2
18:39
1 Lectures | 03:16
Linear Correlation - Introduction
03:16
3 Lectures | 28:00
Correlation Coefficient - Concept
09:21
Correlation Coefficient - Solved Example 1
04:46
Correlation Coefficient - Solved Example 2
13:53
9 Lectures | 01:14:44
Properties 1 and 2 of Correlation Coefficient - Concept
11:09
Properties 1 and 2 of Correlation Coefficient - Solved Example 1
05:47
Properties 1 and 2 of Correlation Coefficient - Solved Example 2
05:34
Properties 1 and 2 of Correlation Coefficient - Solved Example 3
12:32
Properties 3 and 4 of Correlation Coefficient - Concept
07:45
Properties 3 and 4 of Correlation Coefficient - Solved Example 1
11:02
Properties 3 and 4 of Correlation Coefficient - Solved Example 2
08:35
Properties 3 and 4 of Correlation Coefficient - Solved Example 3
07:20
Properties 3 and 4 of Correlation Coefficient - Solved Example 4
05:00
3 Lectures | 17:06
Rank Correlation Coefficient - Concept
06:22
Rank Correlation Coefficient - Solved Example 1
04:36
Rank Correlation Coefficient - Solved Example 2
06:08
1 Lectures | 04:37
Linear Regression - Introduction
04:37
10 Lectures | 01:05:57
Equation of the Regression Line of Y on X - Concept
05:44
Equation of the Regression Line of X on Y - Concept
06:53
Important Notes on Equations of the Regression Lines - Concept
03:08
Equations of the Lines of Regression - Solved Example 1
10:55
Equations of the Lines of Regression - Solved Example 2
12:07
Equations of the Lines of Regression - Solved Example 3
05:35
Equations of the Lines of Regression - Solved Example 4
07:29
Equations of the Lines of Regression - Solved Example 5
04:44
Equations of the Lines of Regression - Solved Example 6
05:36
Equations of the Lines of Regression - Solved Example 7
03:46
2 Lectures | 15:33
Standard Error of Estimate of Y on X and of X on Y - Concept
09:28
Standard Error of Estimate of Y on X and of X on Y - Solved Example 1
06:05
21 Lectures | 03:36:07
Characteristic Function - Definition and Properties - Concept
12:34
Characteristic Function - Solved Example 1
19:29
Characteristic Function - Solved Example 2
09:44
Characteristic Function - Solved Example 3
19:44
Characteristic Function - Solved Example 4
07:57
Characteristic Function - Solved Example 5
11:11
Characteristic Function - Solved Example 6
06:18
Characteristic Function - Solved Example 7 and 8
09:55
Characteristic Function - Solved Example 9
08:37
Moment Generating Function - Definition and Properties - Concept
11:04
Moment Generating Function - Solved Example 1
06:42
Moment Generating Function - Solved Example 2
09:06
Moment Generating Function - Solved Example 3
07:34
Moment Generating Function - Solved Example 4
09:15
Moment Generating Function - Solved Example 5 and 6
07:45
Moment Generating Function - Solved Example 7
07:25
Moment Generating Function - Solved Example 8
06:02
Moment Generating Function - Solved Example 9
18:09
Cumulant Generating Function - Concept and Solved Example 1
10:16
Cumulant Generating Function - Solved Example 2
05:23
Joint Characteristic Function - Concept and Solved Example 1
11:57
11 Lectures | 01:39:48
Tchebycheff Inequality - Concept
10:07
Tchebycheff Inequality - Solved Example 1 and 2
06:54
Tchebycheff Inequality - Solved Example 3
10:08
Tchebycheff Inequality - Solved Example 4
06:04
Tchebycheff Inequality - Solved Example 5
10:07
Tchebycheff Inequality - Solved Example 6
15:00
Tchebycheff Inequality - Solved Example 7
07:33
Tchebycheff Inequality - Solved Example 8
09:25
Tchebycheff Inequality - Solved Example 9 and 10
08:34
Bienayme's Inequality - Concept
07:40
Schwartz Inequality - Concept
08:16
3.06
(198 course ratings)
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