Correlation Coefficients Courses and Certifications

Introduction to Python in Power BI

13 ratings at DataCamp

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

• DataCamp
• 3 hours
• On-Demand
• Free Trial Available

American Psychological Association

Data Analysis for the Behavioral Sciences

13 ratings at edX

How do statistics apply to your life and how can we use statistics to draw conclusions about the world? This course will provide you with an integrated and engaging online experience to explore statistics in the behavioral sciences.

• edX
• 8 weeks, 2-5 hours a week
• On-Demand
• Free Online Course (Audit)

STAT 414: Introduction to Probability Theory

Learn probability theory fundamentals, applications, and problem-solving skills. Covers probability assignment, discrete and continuous distributions, joint distributions, and functions of random variables.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

eHowEducation

Essential Math Tips - Comprehensive Mathematics Tutorial Collection

Master fundamental mathematical concepts from vectors and trigonometry to statistics and geometry through practical problem-solving techniques and calculator usage.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Working with SPSS

5 reviews

Learn to use SPSS for data analysis: from data entry and import to advanced statistical techniques like ANOVA, regression, and correlation. Master creating charts and formatting outputs.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

【みやもと統計】統計学ベーシック講座その２「相関分析・回帰分析」【分析力向上を目指すアドバンス講座】

2163 ratings at Udemy

統計学の基礎を学べるベーシック講座「その２」です。統計学を用いたデータ分析の基礎となる「相関分析・回帰分析」について豊富な図を用いて説明していきます。相関分析や回帰分析という一生モノのスキルをぜひこの機会に一緒に身につけましょう！

• Udemy
• 5 hours 34 minutes
• On-Demand
• Paid Course

Gautam Varde

Correlation Coefficient - Karl Pearson Product Method Numerical

Learn to calculate correlation coefficients using Karl Pearson's product method through practical numerical examples in statistics and advanced mathematics.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Mr. Robinson's Virtual Math Classroom

Analyzing Lines of Fit and Residuals in Statistics - Lecture 4.5

Master statistical analysis through lines of fit, residuals, and correlation coefficients using graphing calculators. Learn to model data, make predictions, and understand causal relationships in mathematical contexts.

• YouTube
• 1 hour 36 minutes
• On-Demand
• Free Video

Mr. Robinson's Virtual Math Classroom

Modeling with Linear Functions - Lesson 2.3

Master linear functions through slope-intercept and point-slope forms, scatterplots, lines of fit, and correlation coefficients. Apply these concepts to analyze statistical models and interpret real-world data relationships.

• YouTube
• 2 hours 9 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Correlation Coefficient in Representation Theory

Explore correlation coefficients in representation theory through advanced mathematical analysis and their applications in automorphic forms research.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Computational Genomics Summer Institute CGSI

Measuring Reproducibility of High Throughput Experiments and LLM Generated Analyses

Discover methods for measuring reproducibility in high-throughput genomics experiments and evaluating LLM-generated data science analyses through statistical frameworks.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Statistics in One Minute

1 review

Concise explanations of key statistical concepts, from probabilities to financial metrics, offering quick insights for learners and professionals in data analysis and finance.

• YouTube
• 30 minutes
• On-Demand
• Free Video

statisticsmatt

Power & Sample Size in R

Learn to calculate power and sample size for various statistical tests in R, from t-tests to ANOVA and multivariate analyses, enhancing your ability to design robust studies.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

Statistics - Vol 8

Comprehensive exploration of statistical concepts including scatter plots, correlation, linear regression, and multiple regression, with practical Excel applications and in-depth analysis techniques.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

Eddie Woo

Bivariate Data Analysis

Explore scatter plots, correlation coefficients, and lines of best fit to analyze relationships between two variables in this comprehensive introduction to bivariate data analysis.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video