Covariance Courses and Certifications

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

Probabilistic Systems Analysis and Applied Probability

A course on the modeling and analysis of random phenomena and processes, including the basics of statistical inference.

• MIT OpenCourseWare
• 21 hours
• On-Demand
• Free Video

Portfolio Diversification and Supporting Financial Institutions - CAPM Model

Explore portfolio diversification, efficient frontiers, and the Capital Asset Pricing Model to maximize returns and manage risk in financial markets.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Risk and Financial Crises - Probability Theory in Financial Markets

Explore probability theory in financial crises context, covering expected value, variance, covariance, and regression analysis. Learn about risk decomposition and the limitations of normal distribution assumptions in finance.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Portfolio Optimization: Excel, R, Python & ChatGPT

157 ratings at Udemy

Investing, Trading, Finance, Stock Market, ETF, Excel Solver, R fPortfolio, Python PyPortfolioOpt yfinance, ChatGPT GPT

• Udemy
• 4 hours 30 minutes
• On-Demand
• Paid Course

Statistics Fundamentals

Comprehensive overview of statistical concepts, from basic distributions to advanced topics like maximum likelihood, providing a solid foundation for data analysis and interpretation.

• YouTube
• 8 hours
• 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

NPTEL;  IIT Kharagpur

Probability & Random Variables

Comprehensive exploration of probability theory, random variables, and stochastic processes, covering fundamental concepts to advanced topics like spectral analysis and adaptive filtering.

• YouTube
• 1 day 16 hours
• On-Demand
• Free Video

NPTEL;  IIT Madras

Probability Foundation for Electrical Engineers

Comprehensive exploration of probability theory for electrical engineers, covering fundamental concepts, random variables, expectation, and limit theorems with rigorous mathematical foundations.

• YouTube
• 1 day 14 hours
• On-Demand
• Free Video

Excel 2007: Business Statistics

6560 ratings at LinkedIn Learning

Unlock the power of your organization's data. Learn how to perform data analysis in Microsoft Excel.

• LinkedIn Learning
• 3 hours 16 minutes
• On-Demand
• Free Trial Available

Learning Excel: Data Analysis

6357 ratings at LinkedIn Learning

Unlock the power of your organization's data. Learn how to perform data analysis in Microsoft Excel.

• LinkedIn Learning
• 2-3 hours
• On-Demand
• Free Trial Available

Tactical Design Patterns in .NET: Creating Objects

402 ratings at Pluralsight

This course sheds light on issues that arise when implementing creational design patterns and then provides practical solutions that will make our code easier to write and more stable when running.

• Pluralsight
• 7 hours 10 minutes
• On-Demand
• Free Trial Available

Summarizing Data and Deducing Probabilities

77 ratings at Pluralsight

This course covers the most important aspects of exploratory data analysis using different univariate, bivariate, and multivariate statistics from Excel and Python, including the use of Naive Bayes' classifiers and Seaborn to visualize relationships.

• Pluralsight
• 2 hours 51 minutes
• On-Demand
• Free Trial Available

IIT Madras;  NPTEL

Probability Foundations for Electrical Engineers

This course will introduce the basic foundational aspects of probability theory primarily to an electrical engineering audience

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Professor Knudson

Multiple Random Variables - Joint and Conditional Distributions

Explore joint and conditional distributions of multiple random variables, covering discrete and continuous cases, CDFs, independence, covariance, and variance of sums.

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