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ANC-DBM4110.AJ1
DBM4110: Data Analysis with R
Intermediate Self-paced · 1 year access
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
5 Interactive Lessons · 42 topics01 Getting Started with Regression and Simple Linear Regression 14 topics +
- Going back to the origin of regression
- Regression in the real world
- Understanding regression concepts
- Regression versus correlation
- Discovering different types of regression
- The R environment
- Installing R
- RStudio
- R packages for regression
- Association between variables – covariance and correlation
- Searching linear relationships
- Least squares regression
- Creating a linear regression model
- Modeling a perfect linear association
02 MLR and Logistic Regression 9 topics +
- Multiple linear regression concepts
- Building a multiple linear regression model
- Multiple linear regression with categorical predictor
- Gradient Descent and linear regression
- Polynomial regression
- Understanding logistic regression
- Generalized Linear Model
- Multiple logistic regression
- Multinomial logistic regression
03 Data Preparation and Avoiding Overfitting Problems 8 topics +
- Data wrangling
- Finding outliers in data
- Scale of features
- Discretization in R
- Dimensionality reduction
- Understanding overfitting
- Feature selection
- Regularization
04 Regression Models and When Curving is Much Better 8 topics +
- Robust linear regression
- Bayesian linear regression
- Count data model
- Nonlinear least squares
- Multivariate Adaptive Regression Splines
- Generalized Additive Model
- Regression trees
- Support Vector Regression
05 Regression Analysis in Practice 3 topics +
- Random forest regression with the Boston dataset
- Classifying breast cancer using logistic regression
- Regression with neural networks
02 / FAQs
Questions before you start
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