Probability & Statistics
Showing 37–48 of 76 results
Inference for Numerical Data in R
In this course youll learn techniques for performing statistical inference on numerical data.
Intermediate Network Analysis in Python
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Intermediate Regression in R
Learn to perform linear and logistic regression with multiple explanatory variables.
Intermediate Regression with statsmodels in Python
Learn to perform linear and logistic regression with multiple explanatory variables.
Intro to Inferential Statistics
Explore inferential statistics methods for making predictions and generalizations based on sample data.
Intro to Statistics
Gain a foundational understanding of statistical concepts and their application in data analysis.
Introduction to Anomaly Detection in R
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Introduction to Bioconductor in R
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Introduction to Linear Modeling in Python
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Introduction to Network Analysis in Python
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Introduction to Regression in R
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Introduction to Regression with statsmodels in Python
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.