Linear Regression

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Analyzing Data with Python (edX) EdX
IBM

Analyzing Data with Python (edX)

Unlock the potential of your data with 'Analyzing Data with Python' on edX. This course equips you with essential skills in handling, manipulating, and analyzing complex datasets using powerful Python libraries such as numpy, pandas, SciPy, and scikit-learn. Whether you're a beginner or looking to advance your analytical capabilities, this course offers a structured pathway to mastering data analysis and machine learning techniques.

Self Paced
Self-Paced
Modelos de Regresión Lineal y Pronósticos (edX) EdX
Tecnológico de Monterrey,TecdeMonterreyX

Modelos de Regresión Lineal y Pronósticos (edX)

Sumérjase en el mundo del análisis de datos con nuestro curso 'Modelos de Regresión Lineal y Pronósticos'. Aprenderá a utilizar herramientas estadísticas y econométricas para analizar bases de datos, identificar patrones y predecir comportamientos futuros. Este curso es ideal para profesionales que buscan tomar decisiones más precisas basadas en el análisis de datos.

Self Paced
Self-Paced
Introduction to Machine Learning in Sports Analytics (Coursera) Coursera
University of Michigan

Introduction to Machine Learning in Sports Analytics (Coursera)

Dive deep into the world of sports analytics with our Introduction to Machine Learning in Sports Analytics course. Gain expertise in applying machine learning techniques using Python's scikit-learn toolkit on real-world athletic datasets. Explore various algorithms and learn how to predict outcomes in professional sports, enhancing your understanding and skills in data analysis.

Jul 13th 2026
4 Weeks
Introduction to Machine Learning: Supervised Learning (Coursera) Coursera
University of Colorado Boulder

Introduction to Machine Learning: Supervised Learning (Coursera)

Embark on a journey into the world of supervised machine learning with this foundational online course. Designed for beginners and advanced learners alike, you'll delve into essential algorithms like linear and logistic regression, K-nearest neighbors (KNN), decision trees, random forest, boosting techniques, and kernel methods such as support vector machines (SVM). This course is perfect for those looking to harness the predictive power of data.

Jul 13th 2026
5-12 Weeks