News Today
This R programming course introduces you to one of the most powerful languages for data analysis, statistics, and visualization. By studying R, you’ll learn how to clean, analyze, and interpret data efficiently while creating clear, insightful visualizations to support decision-making. R is widely used in research, finance, healthcare, and data science, making it an essential skill for anyone looking to build a career in data-driven fields.
This Flutter development course teaches you how to build beautiful, natively compiled applications for mobile, web, and desktop from a single codebase. You'll master Flutter's widget-based architecture, state management, and responsive design principles while learning to create smooth animations and intuitive user interfaces. Flutter's hot reload feature and extensive widget library make it ideal for rapid prototyping and production apps, with companies like Google, Alibaba, and BMW using it for their applications.
This comprehensive Python course teaches you how to build powerful credit scoring models used by banks and financial institutions to assess borrower creditworthiness. You'll master essential machine learning techniques including logistic regression, decision trees, and ensemble methods while learning to process financial data, handle missing values, and create risk prediction models. Through practical projects, you'll develop skills in feature engineering, model evaluation using metrics like AUC-ROC, and implementing fair lending practices. Python's rich ecosystem of libraries like scikit-learn, pandas, and XGBoost makes it the industry standard for credit risk modeling, enabling you to build production-ready scoring systems that help lenders make data-driven decisions while minimizing default risk and ensuring regulatory compliance.