Online Courses Catalog

University of Colorado Boulder

This beginner-level course introduces descriptive statistics, probability, and probability distributions, providing a foundation for data science and analysis using Microsoft Excel.

University of London

Explore data science concepts with focus on algorithm design, enhancing math, statistics, and programming skills via a K-means clustering project in Python.

University of Pittsburgh

Apply essential mathematical and statistical techniques for data science using Python, covering expected values, normal distribution, derivatives, and complex integrals.

SAS

This applied statistics course teaches the importance of statistical thinking and basic methods to solve real-world industrial problems using data.

Carnegie Mellon University

Explore statistical thermodynamics fundamentals to understand molecular interactions and their macroscopic effects with engineering and biological applications.

Corporate Finance Institute

Acquire essential SQL skills for data analysts to read, transform, and gain insights from databases with a focus on read-only functions.

Coursera

Build essential statistical analysis skills for market research professionals, focusing on hypothesis testing and interpreting data to inform business decisions.

O.P. Jindal Global University

An introduction to essential statistical methods and data analysis using R programming and data visualization for practical applications in public policy.

University of Leeds

Enhance statistics and probability skills with real-life examples, learning statistical modeling and the importance of unbiased data collection.

École normale supérieure

Learn fundamental classical and quantum physics concepts through downloading, generalizing, or programming computer algorithms, and discussing their scientific insights.

Northeastern University

Continue exploring advanced machine learning algorithms including deep learning, transfer learning, and neural networks with practical Python implementations.

Northeastern University

Explore practical algorithms and theory of supervised learning including parametric and non-parametric models with Python and PyTorch implementations.

Eindhoven University of Technology

Learn to correctly interpret p-values, effect sizes, confidence intervals, and design experiments controlling false positive rates for better statistical inferences.

University of Colorado Boulder

Introduce statistical inference, sampling distributions, confidence intervals, and construct estimators using method of moments and maximum likelihood techniques.

University of Colorado Boulder

Focus on hypothesis testing theory and practice in data science to make informed decisions by understanding errors, power, and p-value interpretation.

Johns Hopkins University

Learn to draw reliable conclusions about populations or scientific facts from data using statistical modeling, data strategies, and inference methods.

Coursera

Apply regression, statistical analysis, and supervised learning to evaluate financial performance and predict financial risk.

SkillUp

Advance healthcare data analytics skills using statistical and predictive modeling with Python in an interactive Google Colab environment.

Microsoft

Begin practical statistics with a beginner-friendly course covering basic analyses using R and AI-assisted tools.

Board Infinity

Learn static and dynamic software analysis techniques focusing on quality characteristics vital for security, reliability, performance, and maintenance testing.

Creo Incubator

Learn structured approaches to evaluate market opportunities and competitive positioning of startups using customer segmentation and market sizing methods.

Splunk Inc.

Understand machine data basics, Splunk components, navigation, and create searches, reports, and dashboards with Splunk Search Processing Language.

Duke University

Learn methods for valuating startups using discounted cash flow analysis and understand how different securities impact financing.

University of Maryland, College Park

This course explains key financing concepts to help entrepreneurs secure funding for new ventures, including valuations and negotiation strategies.