Assessment
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.
Certification
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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 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
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