Correlation Courses and Certifications

Six Sigma Part 2: Analyze, Improve, Control

947 reviews

Learn how to statistically analyze process data to determine the root cause and propose solutions for process problems, to implement quality management tools, such as 8D and the 5 Whys, and to understand the concept of Design for Six Sigma (DFSS).

• edX
• 8 weeks, 3-4 hours a week
• On-Demand
• Free Online Course (Audit)

Basic Statistics

13 reviews

Explore statistical concepts, from descriptive methods to inferential techniques. Learn to calculate, interpret, and apply statistics using real-world examples and free software.

• Coursera
• 17 hours 25 minutes
• On-Demand
• Free Online Course (Audit)

Probability and Statistics in Data Science using Python

32 reviews

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.

• edX
• 10 weeks, 10-12 hours a week
• On-Demand
• Free Online Course (Audit)

Intro to Inferential Statistics

8 reviews

Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!

• Udacity
• 8 weeks
• On-Demand
• Free Online Course

Statistics 110 - Probability

Comprehensive introduction to probability theory, covering fundamental concepts, distributions, and applications. Ideal for understanding statistics, science, and randomness in various fields.

• YouTube
• 1 day 3 hours
• On-Demand
• Free Video

Correlation and Regression in R

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

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

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.

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

Statistics Fundamentals in R

Discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.

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

Quantitative Risk Management in R

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

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

Introduction to Statistics in Python

194 ratings at DataCamp

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

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

Introduction to Statistics

142 ratings at DataCamp

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

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

Introduction to Statistics in R

77 ratings at DataCamp

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

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

Time Series Analysis in Python

19 ratings at DataCamp

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

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

Introduction to Statistics with SciPy

Explore statistical analysis in Python using SciPy's statistics module, from descriptive statistics and probability distributions to hypothesis testing, confidence intervals, and regression.

• CodeSignal
• On-Demand
• Free Certificate

The Universal Principle of Risk Management - Pooling and Hedging Risks

Explore probability theory, statistics, and financial analysis methods essential for risk management and understanding the time value of money in financial markets.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video