In this comprehensive course, you will explore artificial intelligence (AI) and its core concepts, forming a solid foundation for machine learning. You will delve into regression analysis, applying univariate, polynomial, and multivariate regression techniques to real-world problems through interactive labs. Next, you will learn model preparation and evaluation, focusing on … [Read more...] about Intermediate Data Manipulation and Machine Learning
Data Science
GenAI for Financial Analysts: Essential Predictive Analytics
In this course, you will take on a practical journey into how GenAI transforms financial forecasting, portfolio optimization, risk management, and reporting automation. You’ll explore how top institutions like investment banks, hedge funds, and fintech innovators are already integrating GenAI into their workflows—and you’ll gain the hands-on skills to do the same. Whether you … [Read more...] about GenAI for Financial Analysts: Essential Predictive Analytics
Enjoyable Econometrics
The goal of this MOOC is to show that econometric methods are often needed to answer questions. A question comes first, then data are to be collected, and then finally the model or method comes in. Depending on the data, however, it can happen that methods need to be adapted. For example, where we first look at two variables, later we may need to look at three or more. Or, … [Read more...] about Enjoyable Econometrics
Automation & Advanced Techniques with Copilot in Excel
This course introduces learners to Excel Macros and VBA, focusing on automating tasks to enhance productivity. Starting with the macro recorder, learners will automate repetitive tasks without needing to write code. They will explore VBA programming fundamentals, such as working with variables, built-in functions, and loops to optimize workflows. Advanced topics include … [Read more...] about Automation & Advanced Techniques with Copilot in Excel
Sentiment Analysis with Deep Learning using BERT
In this 2-hour long project, you will learn how to analyze a dataset for sentiment analysis. You will learn how to read in a PyTorch BERT model, and adjust the architecture for multi-class classification. You will learn how to adjust an optimizer and scheduler for ideal training and performance. In fine-tuning this model, you will learn how to design a train and evaluate loop … [Read more...] about Sentiment Analysis with Deep Learning using BERT
