Bunmi Emmanuel
Email: d@gmail.com
Total Courses: 2
Data Analysis
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Bestseller
Updated February 2026
- 23 total hours
- beginer
Introduction to Computer Networking
- to be network engineer
Data Analysis
Featured
Updated February 2026
- 23 total hours
- beginer
How to Document Your Data Analysis Report on GitHub (Step-by-Step) | Data Analysis Portfolio
DataAI
HighestRated
Updated April 2026
- 23 total hours
- beginer
CompTIA DataAI (formerly DataX)
- Statistical methods: applying t-tests, chi-squared tests, analysis of variance (ANOVA), hypothesis testing, regression metrics, gini index, entropy, p-value, receiver operating characteristic/area under the curve (ROC/AUC), akaike information criterion/bayesian information criterion (AIC/BIC), and confusion matrix. Probability and modeling: explaining distributions, skewness, kurtosis, heteroskedasticity, probability density function (PDF), probability mass function (PMF), cumulative distribution function (CDF), missingness, oversampling, and stratification. Linear algebra and calculus: understanding rank, eigenvalues, matrix operations, distance metrics, partial derivatives, chain rule, and logarithms. Temporal models: comparing time series, survival analysis, and causal inference.


