Coursera
Dive into the world of Applied Machine Learning with this hands-on Python course. Learn how to implement machine learning algorithms effectively, understand their practical applications, and harness the power of scikit-learn toolkit for real-world problem-solving.
Coursera
Discover how to harness the power of SAS/STAT for effective predictive modeling with our 'Predictive Modeling with Logistic Regression using SAS' course. Learn to build and assess models, handle missing data, and optimize your approach for large datasets. Perfect for data scientists and analysts looking to enhance their skills in logistic regression.
Coursera
Dive into the world of sports analytics with our beginner-friendly course. Using Python, explore how to represent and analyze sports data, focusing on regression analysis for team and player performance across major leagues like NFL, NBA, NHL, EPL, and IPL. Gain valuable skills in extracting meaningful insights from sports data.
Coursera
Este curso te introduce al mundo del Mercadeo Analítico, una disciplina que utiliza el análisis de datos para tomar decisiones informadas en el ámbito del marketing. Aprenderás a medir y optimizar las estrategias de mercadeo para obtener un mejor retorno de la inversión (ROI).
Coursera
Dive into the basics of machine learning technology in this comprehensive course tailored for product managers. Understand the principles behind ML, its practical applications, and learn how to work synergistically with data scientists and engineers.
Coursera
Este curso te introduce al mundo del aprendizaje automático, enseñándote a crear modelos predictivos que anticipan eventos futuros. Con casos de estudio prácticos, adquirirás habilidades para aplicar estas técnicas en la toma de decisiones empresariales y más.
Coursera
Discover the fundamentals of machine learning and gain practical skills in training, tuning, and evaluating models. This course is ideal for business professionals looking to harness the potential of ML for solving complex data-driven challenges.
Coursera
Dive into 'Introduction to Statistical Learning' on Coursera for an in-depth exploration of essential concepts in statistical modeling. Learn when to use specific models, how to optimize them, and understand the trade-offs between different approaches. This course covers regression, classification, decision trees, resampling methods, and more, equipping you with advanced data analysis skills.
Coursera
Dive into the world of data-driven marketing with our Supervised Learning for Marketers course. Master essential techniques like regression and classification, harnessing Python's power to transform your marketing approach. Perfect for professionals aiming to leverage machine learning for better decision-making and campaign optimization.