// 35 courses indexed
The course directory
Every course we track across 10+ providers, in one searchable index. Want a shortlist picked for your goals? Run a free skill gap analysis.
Analyze and Interpret Data Using Excel
Learners will be able to activate Excel’s analytical tools, compute descriptive statistics, visualize data relationships, run regression models, and interpret statistical outputs to make informed, data-driven decisions. This course equips participants with the practical skills needed to analyze real-world datasets using Excel’s built-in functions and the Analysis Toolpak. Through a step-by-step, application-focused approach, learners gain hands-on experience generating summary measures, exploring correlations, creating scatter plots, and executing linear regression. Each module progresses fro
All levels
Analyze Financial Data Using Advanced Techniques
Learners will analyze probability concepts, evaluate financial risk using statistical distributions, apply technical and macroeconomic analysis, and interpret market structures to support data-driven financial decision-making. This course equips learners with advanced financial analysis skills by integrating probability, statistics, technical analysis, and macroeconomic frameworks into a cohesive learning journey. Participants will develop the ability to assess uncertainty, interpret financial data, and evaluate economic indicators that influence investment and policy decisions. What makes t
All levels
Statistical Thinking & Predictive Modeling
Build the analytical skills that turn raw data into decisions leaders can act on. In this course, you will move through a complete decision-intelligence workflow — from exploring and summarizing data to running rigorous statistical tests, building production-ready predictive models, and communicating results to non-technical stakeholders. You will learn to generate descriptive statistics and visual summaries that reveal data quality issues before they distort your analysis. You will design and execute hypothesis tests, interpret p-values in business terms, and balance Type I and Type II error
All levels
Intro to Null Hypothesis Significance Testing with z-test
This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and quantitative research methods along with high school students and professionals with similar interests. This course delves into the foundational concepts of probability and statistics, emphasizing the importance of random sampling and the normal distribution. Students will learn to apply statistical methods, including z-scores, effect size, and confidence intervals in the context of null hypothesis significance testing. The course also covers the implications of the central limit theo
All levels
Financial Statistics and Quantitative Analysis
Master the quantitative techniques that form the foundation of modern finance, risk management, and FRM Part I preparation. This comprehensive course provides a structured learning journey through financial mathematics, statistics, probability, regression analysis, time series modeling, and advanced quantitative methods used by finance professionals worldwide. The course begins with the core principles of time value of money, compounding, discounting, and fixed-income valuation. Learners will develop practical skills in evaluating financial instruments and understanding the mathematical found
All levels
Credit Risk Measurement and Management
Master advanced credit risk measurement, counterparty risk, CVA, securitization, and credit derivatives used in modern banking and financial institutions. Build practical FRM-aligned risk management skills through structured lessons on default probability, collateral frameworks, CCPs, credit exposure, portfolio credit risk, and stress testing. This course provides a comprehensive understanding of credit risk analysis using both qualitative and quantitative approaches. Learners will explore borrower evaluation, expected and unexpected loss, credit spreads, CDS pricing, securitization structur
All levels
Using probability distributions for real world problems in R
By the end of this project, you will learn how to apply probability distributions to solve real world problems in R, a free, open-source program that you can download. You will learn how to answer real world problems using the following probability distributions – Binomial, Poisson, Normal, Exponential and Chi-square. You will also learn the various ways of visualizing these distributions of real world problems. By the end of this project, you will become confident in understanding commonly used probability distributions through solving practical problems and you will strengthen your core conc
All levels
Google Advanced Data Analytics Professional Certificate
Statistics, Python, regression, and machine learning for experienced analysts.
Intermediate
Business and Financial Modeling Specialization (Wharton)
Build spreadsheet models, forecast performance, and use scenario analysis to make data-driven business decisions.
Intermediate