| Module Name | Download |
|---|
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Lec 1: Rules of probability | Download |
| 2 | Lec 44: Higher-dimensional data in biology | Download |
| 3 | Lec 2: Discrete probability distribution | Download |
| 4 | Lec 45: Principle component analysis | Download |
| 5 | Lec 3: Continuous probability distribution | Download |
| 6 | Lec 46: Principle component analysis using R | Download |
| 7 | Lecture 4: Statistics using R – Descriptive Statistics | Download |
| 8 | Lec 17: Statistics using R – descriptive statistics | Download |
| 9 | Lecture 4: Statistics using R – Descriptive Statistics | Download |
| 10 | Lec 17: Statistics using R – descriptive statistics | Download |
| 11 | Lec 5: Moments: variance and covariance | Download |
| 12 | Lec 48: t-SNE using R | Download |
| 13 | Lecture 6: Linear Algebra using R | Download |
| 14 | Lec 19: Linear algebra using R | Download |
| 15 | Lecture 6: Linear Algebra using R | Download |
| 16 | Lec 19: Linear algebra using R | Download |
| 17 | Lec 7: Concept of statistical tests | Download |
| 18 | Lec 8: Vector and vector operations | Download |
| 19 | Lec 9: Matrix and matrix operations | Download |
| 20 | Lec 10: Determinant and Inverse of a matrix | Download |
| 21 | Lec 11: Eigenvalue and eigenvector | Download |
| 22 | Lec 12: Linear system of equations | Download |
| 23 | Lec 13: Singular value decomposition | Download |
| 24 | Lec 14: Getting ready with R | Download |
| 25 | Lec 15: Algebraic and logical operations in R | Download |
| 26 | Lec 16: Reading and writing data | Download |
| 27 | Lecture 4: Statistics using R – Descriptive Statistics | Download |
| 28 | Lec 17: Statistics using R – descriptive statistics | Download |
| 29 | Lec 18: Statistics using R – t-test and ANOVA | Download |
| 30 | Lecture 6: Linear Algebra using R | Download |
| 31 | Lec 19: Linear algebra using R | Download |
| 32 | Lec 20: Scatter plot, Line plot & Bar plot | Download |
| 33 | Lec 21: Histogram & Box plot | Download |
| 34 | Lec 22: Heatmap and Volcano plot | Download |
| 35 | Lec 23: Network visualization | Download |
| 36 | Lec 24: Data visualization using ggplot2 - I | Download |
| 37 | Lec 25: Data visualization using ggplo2 - II | Download |
| 38 | Lec 26: Correlations | Download |
| 39 | Lec 27: Linear regression - I | Download |
| 40 | Lec 28: Linear regression - II | Download |
| 41 | Lec 29: Linear regression using R | Download |
| 42 | Lec 30: Multiple linear regression | Download |
| 43 | Lec 31: Multiple linear regression using R | Download |
| 44 | Lec 32: Nonlinear regression | Download |
| 45 | Lec 33: Nonlinear regression using R | Download |
| 46 | Lec 34: Clustering and classification | Download |
| 47 | Lec 35: Logistic regression | Download |
| 48 | Lec 36: Logistic regression using R | Download |
| 49 | Lec 37: Distance mesaures for clustering | Download |
| 50 | Lec 38: k-means clustering | Download |
| 51 | Lec 39: k-means clustering using R | Download |
| 52 | Lec 40: Hierarchical clustering | Download |
| 53 | Lec 41: Hierarchical clustering using R | Download |
| 54 | Lec 42: Decision tree classifier | Download |
| 55 | Lec 43: Support vector machines | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lec 1: Rules of probability | Download Verified |
| 2 | Lec 44: Higher-dimensional data in biology | Download Verified |
| 3 | Lec 2: Discrete probability distribution | Download Verified |
| 4 | Lec 45: Principle component analysis | Download Verified |
| 5 | Lec 3: Continuous probability distribution | Download Verified |
| 6 | Lec 46: Principle component analysis using R | Download Verified |
| 7 | Lecture 4: Statistics using R – Descriptive Statistics | Download Verified |
| 8 | Lec 17: Statistics using R – descriptive statistics | Download Verified |
| 9 | Lecture 4: Statistics using R – Descriptive Statistics | Download Verified |
| 10 | Lec 17: Statistics using R – descriptive statistics | Download Verified |
| 11 | Lec 5: Moments: variance and covariance | Download Verified |
| 12 | Lec 48: t-SNE using R | Download Verified |
| 13 | Lecture 6: Linear Algebra using R | Download Verified |
| 14 | Lec 19: Linear algebra using R | Download Verified |
| 15 | Lecture 6: Linear Algebra using R | Download Verified |
| 16 | Lec 19: Linear algebra using R | Download Verified |
| 17 | Lec 7: Concept of statistical tests | Download Verified |
| 18 | Lec 8: Vector and vector operations | Download Verified |
| 19 | Lec 9: Matrix and matrix operations | Download Verified |
| 20 | Lec 10: Determinant and Inverse of a matrix | Download Verified |
| 21 | Lec 11: Eigenvalue and eigenvector | Download Verified |
| 22 | Lec 12: Linear system of equations | Download Verified |
| 23 | Lec 13: Singular value decomposition | Download Verified |
| 24 | Lec 14: Getting ready with R | Download Verified |
| 25 | Lec 15: Algebraic and logical operations in R | Download Verified |
| 26 | Lec 16: Reading and writing data | Download Verified |
| 27 | Lecture 4: Statistics using R – Descriptive Statistics | Download Verified |
| 28 | Lec 17: Statistics using R – descriptive statistics | Download Verified |
| 29 | Lec 18: Statistics using R – t-test and ANOVA | Download Verified |
| 30 | Lecture 6: Linear Algebra using R | Download Verified |
| 31 | Lec 19: Linear algebra using R | Download Verified |
| 32 | Lec 20: Scatter plot, Line plot & Bar plot | Download Verified |
| 33 | Lec 21: Histogram & Box plot | Download Verified |
| 34 | Lec 22: Heatmap and Volcano plot | Download Verified |
| 35 | Lec 23: Network visualization | Download Verified |
| 36 | Lec 24: Data visualization using ggplot2 - I | Download Verified |
| 37 | Lec 25: Data visualization using ggplo2 - II | Download Verified |
| 38 | Lec 26: Correlations | Download Verified |
| 39 | Lec 27: Linear regression - I | Download Verified |
| 40 | Lec 28: Linear regression - II | Download Verified |
| 41 | Lec 29: Linear regression using R | Download Verified |
| 42 | Lec 30: Multiple linear regression | Download Verified |
| 43 | Lec 31: Multiple linear regression using R | Download Verified |
| 44 | Lec 32: Nonlinear regression | Download Verified |
| 45 | Lec 33: Nonlinear regression using R | Download Verified |
| 46 | Lec 34: Clustering and classification | Download Verified |
| 47 | Lec 35: Logistic regression | Download Verified |
| 48 | Lec 36: Logistic regression using R | Download Verified |
| 49 | Lec 37: Distance mesaures for clustering | Download Verified |
| 50 | Lec 38: k-means clustering | Download Verified |
| 51 | Lec 39: k-means clustering using R | Download Verified |
| 52 | Lec 40: Hierarchical clustering | Download Verified |
| 53 | Lec 41: Hierarchical clustering using R | Download Verified |
| 54 | Lec 42: Decision tree classifier | Download Verified |
| 55 | Lec 43: Support vector machines | Download Verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Not Available |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |