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This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: Indian institute of Technology Bombay

Course Curriculum

lec1 Prof Shamik Sen 00:04:00
lec2 Introduction to the course 00:29:00
lec3 Data representation and plotting 00:29:00
lec4 Arithmetic mean 00:28:00
lec5 Geometric mean 00:29:00
lec6 Measure of Variability, Standard deviation 00:29:00
lec7 SME, Z-Score, Box plot 00:30:00
lec8 Moments, Skewness 00:28:00
lec9 Kurtosis, R programming 00:27:00
lec10 R programming 00:28:00
lec11 Correlation 00:28:00
lec12 Correlation and Regression 00:28:00
lec13 Correlation and Regression Part-II 00:28:00
lec14 Interpolation and extrapolation 00:27:00
lec15 Nonlinear data fitting 00:29:00
lec16 Concept of Probability: Introduction and basics 00:27:00
lec17 Counting principle, Permutations, and Combinations 00:29:00
lec18 Conditional probability 00:29:00
lec19 Conditional probability and Random variables 00:27:00
lec20 Random variables, Probability mass function, and Probability density function 00:24:00
lec21 Expectation, Variance and Covariance 00:27:00
lec22 Expectation, Variance and Covariance Part – II 00:21:00
lec23 Binomial random variables and Moment generating function 00:29:00
lec24 Probability distribution : Poisson distribution and Uniform distribution Part-I 00:23:00
lec25 Uniform distribution Part-II and Normal distribution Part-I 00:28:00
lec26 Normal distribution Part-II and Exponential distribution 00:27:00
lec27 Sampling distributions and Central limit theorem Part-I 00:30:00
lec28 Sampling distributions and Central limit theorem Part-II 00:27:00
lec29 Central limit theorem Part-III and Sampling distributions of sample mean 00:28:00
lec30 Central limit theorem – IV and Confidence intervals 00:27:00
lec31 Confidence intervals Part- II 00:29:00
lec32 Test of Hypothesis – 1 00:27:00
lec33 Test of Hypothesis – 2 (1 tailed and 2 tailed Test of Hypothesis, p-value) 00:26:00
lec34 Test of Hypothesis – 3 (1 tailed and 2 tailed Test of Hypothesis, p-value) 00:26:00
lec35 Test of Hypothesis – 4 (Type -1 and Type -2 error) 00:33:00
lec36 T-test 00:28:00
lec37 1 tailed and 2 tailed T-distribution, Chi-square test 00:27:00
lec38 ANOVA – 1 00:27:00
lec39 ANOVA – 2 00:29:00
lec40 ANOVA – 3 00:27:00
lec41 ANOVA for linear regression, Block Design 00:30:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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