Course10210309253 lectures
Data Analysis For Biologists
Prof. Biplab Bose · IIT Guwahati
Lectures
Week 1: Basic Concepts of Probability and Statistics
- Lec 1: Rules of probability
- Lec 2: Discrete probability distribution
- Lec 3: Continuous probability distribution
- Lecture 4: Statistics using R – Descriptive Statistics
- Lec 5: Moments: variance and covariance
- Lecture 6: Linear Algebra using R
- Lec 7: Concept of statistical tests
Week 2: Basic Concepts of Linear Algebra
- Lec 8: Vector and vector operations
- Lec 9: Matrix and matrix operations
- Lec 10: Determinant and Inverse of a matrix
- Lec 11: Eigenvalue and eigenvector
- Lec 12: Linear system of equations
- Lec 13: Singular value decomposition
Week 3: Basics of R
- Lec 14: Getting ready with R
- Lec 15: Algebraic and logical operations in R
- Lec 16: Reading and writing data
- Lec 17: Statistics using R – descriptive statistics
- Lec 18: Statistics using R – t-test and ANOVA
- Lec 19: Linear algebra using R
Week 4: Data Visualization
- Lec 20: Scatter plot, Line plot & Bar plot
- Lec 21: Histogram & Box plot
- Lec 22: Heatmap and Volcano plot
- Lec 23: Network visualization
- Lec 24: Data visualization using ggplot2 - I
- Lec 25: Data visualization using ggplo2 - II
Week 5: Correlation and Regression
- Lec 26: Correlations
- Lec 27: Linear regression - I
- Lec 28: Linear regression - II
- Lec 29: Linear regression using R
- Lec 30: Multiple linear regression
- Lec 31: Multiple linear regression using R
Week 6: Regression, Clustering and Classification
- Lec 32: Nonlinear regression
- Lec 33: Nonlinear regression using R
- Lec 34: Clustering and classification
- Lec 35: Logistic regression
- Lec 36: Logistic regression using R
- Lec 37: Distance mesaures for clustering
Week 7: Clustering and Classification
- Lec 38: k-means clustering
- Lec 39: k-means clustering using R
- Lec 40: Hierarchical clustering
- Lec 41: Hierarchical clustering using R
- Lec 42: Decision tree classifier
- Lec 43: Support vector machines
Week 8: Analysis of Higher-Dimensional Data
- Lec 44: Higher-dimensional data in biology
- Lec 45: Principle component analysis
- Lec 46: Principle component analysis using R
- Lecture 4: Statistics using R – Descriptive Statistics
- Lec 48: t-SNE using R
- Lecture 6: Linear Algebra using R
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Guwahati
- Department
- Biotechnology
- Teacher
- Prof. Biplab Bose
- Level
- Undergraduate
- Language
- English
- Subjects
- Biology
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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