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Learn essential data analysis skills through engaging videos and practical problems tailored for your growth.

Descriptive & Exploratory Data Analysis

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Mean / Median

Variance / Standard Deviation

Boxplots / Histograms

Density Plots

Data Visualization

Data Normalization and Transformation

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Log Transformation

z-score Standardization

Quantile Normalization

TPM / RPKM / FPKM / CPM

Statistical Inference and Hypothesis Testing

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t-tests / ANOVA

Wilcoxon / Kruskal-Wallis

Multiple Testing Correction

FDR / Bonferroni

Regression and Linear Models

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Linear Regression and GLMs

Limma / DESeq2 / edgeR

Logistic

Poisson

Negative Binomial Models

Multivariate and Dimensionality Reduction Techniques

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PCA

t-SNE

UMAP

Matrix algebra and eigenvalue decomposition

Clustering and Classificaiton

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k-means

Hierarchical Clustering

SVMs

Random Forest

k-NN

Model Evaluation and Selection

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Cross-validation

AIC/BIC

Feature Selection / Regularization

LASSO / Ridge

Correlation and Network Analysis

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Pearson/Spearman Correlation

WGCNA

Gene Regulatory Networks

Survival and Time Series Analysis

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Kaplan-Meier, Cox Models

Longitudinal Data Analysis

Statistical Programming and Reproducible Workflows

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R/Bioconductor, Python

Simulation

Bootstrapping

Permutation

Experimental Design

Power Analysis