Correlation Courses and Certifications

DigitalSreeni

Correlation Analysis in Python - Pearson vs Spearman Correlation

Master correlation analysis fundamentals using Python with Pearson and Spearman methods, assumption checking, and visualization techniques through the Palmer Penguins dataset.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

DigitalSreeni

Advanced Correlation Analysis in Python - Confidence Intervals and Statistical Testing - Part 3/4

Master advanced correlation analysis with confidence intervals, multiple testing corrections, bootstrap validation, and hierarchical clustering for statistically rigorous results.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

DigitalSreeni

Partial Correlation in Python - Controlling for Confounding Variables - Part 2/4

Discover how to control for confounding variables using partial correlation techniques with Python and the Palmer Penguins dataset to reveal true relationships between variables.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

DigitalSreeni

Correlation vs Causation in Python - Understanding the Critical Difference - Part 4/4

Grasp the critical distinction between correlation and causation through practical Python examples, exploring confounding variables, spurious correlations, and causal thinking principles.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Advanced Data Analysis with Pandas

Practice advanced Pandas techniques for merging datasets, grouping and aggregating records, and measuring correlations across data.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Career Certificate

Inferential Statistics for Data Analysis Course

Work through the inferential toolkit—sample size, confidence intervals, z, t and chi-square tests, correlation and regression—to generalize from samples to populations.

• Graduate School USA
• Self-Paced
• $1,049.00

Data Analysis Tools

417 ratings at Coursera

Test relationships in your own data set: run and interpret ANOVA, Chi-Square tests of independence, Pearson correlation, and moderation analyses using SAS or Python.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Career Certificate

BiteSize Statistics for Intermediate Learners

Apply hypothesis testing to single and two samples, use z-, t-, and F-tests, then analyze Pearson/Spearman correlation and regression diagnostics.

• Coursera
• 24 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Basic Statistics in Python (Correlations and T-tests)

36 ratings at Coursera

Learn basic statistics in Python: clean a World Bank science and technology dataset, explore outliers with boxplots, test relationships with correlations and scatter plots, and compare groups using t-tests.

• Coursera
• 2 hours 5 minutes
• Self-Paced
• Paid Course

Data Science Fundamentals, Part 2: Data–Analysis and Visualization

Explore data with Python's matplotlib and seaborn: build histograms, boxplots, and scatter plots, spot correlations, and avoid pitfalls like Simpson's Paradox.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Coursera

Advanced Exploratory Data Analysis

Turn messy business questions into structured exploratory analysis: build scatter plots with trend lines, measure correlation, apply multivariate techniques, and generate testable hypotheses about KPI relationships.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Analyzing and Visualizing Political Data with SPSS

Learn to use SPSS to analyze and visualize political data with chi-squared tests, ANOVA, histograms, and scatterplots.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Probability and Statistics II: Random Variables – Great Expectations to Bell Curves

This course discusses properties and applications of random variables. For instance, how many customers are likely to arrive in the next hour? What’s the probability that a lightbulb will last more th

• edX
• 4 weeks, 6-12 hours a week
• Self-Paced
• Free Online Course (Audit)

Materials Cloud

Exchange-Correlation Functionals of Density Functional Theory - QE School 2023 Lecture 1.3

Explore advanced exchange-correlation functionals in DFT, focusing on Hubbard and Koopmans functionals from linear response for enhanced quantum calculations.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Black Hat

Hiding Objects from Computer Vision by Exploiting Correlation Biases

Explores how correlation biases in computer vision can be exploited to automatically generate adversarial images that confuse object detectors.

• YouTube
• 27 minutes
• Self-Paced
• Conference Talk