Enroll Course: https://www.udemy.com/course/analitica-de-mercadeo-con-python/
Are you looking to master data mining tools for customer segmentation and lead conversion prediction using Python? The Coursera course, now titled “Machine Learning Aplicada a Marketing Analytics con Python,” offers an extensive and practical learning experience designed for aspiring marketing data scientists. Led by expert Carlos Martínez, who boasts a Masters in Finance, an MBA from INCAE, and a Ph.D. in Management, this course has been significantly expanded as of January 2024, doubling its content and depth.
This course emphasizes hands-on learning through real-world sectors such as telecommunications and banking. You’ll delve into essential techniques like K-Means clustering, PCA, Logistic Regression, Decision Trees, Ensemble methods such as Random Forest and Gradient Boosting, and neural networks with TensorFlow. It begins with a solid foundation in Python, covering pandas, numpy, and matplotlib, making it accessible even if you’re new to programming.
Throughout the course, you’ll work on practical projects including customer segmentation, predictive banking models, and lead conversion optimization, with challenging assignments that now incorporate ChatGPT assistance for an enhanced learning experience. The curriculum also includes advanced topics like hyperparameter tuning and cross-validation.
Ideal for marketing students and professionals seeking practical data science skills, this course requires no prior programming or statistics knowledge. Whether you’re aiming to apply machine learning in marketing or elevate your data analytics expertise, this course provides comprehensive guidance and real-world applications.
Join this exciting journey into marketing analytics with Python and transform your understanding of customer data. Enroll today and start applying these powerful tools to your marketing strategies!
Enroll Course: https://www.udemy.com/course/analitica-de-mercadeo-con-python/