Enroll Course: https://www.udemy.com/course/analitica-de-mercadeo-con-python/
In the fast-paced world of marketing, data is king. But how do you transform raw data into actionable insights that drive customer segmentation and predict conversion rates? The “Machine Learning Aplicada a Marketing Analytics con Python” course on Udemy, recently updated and expanded in January 2024, offers a comprehensive and practical solution.
Led by Carlos Martínez, a seasoned professional with a Ph.D. in Management and extensive experience in presenting research at prestigious institutions, this course is designed for hands-on learning. Martínez’s background, including co-authoring teaching cases featured at universities like Harvard and Michigan, ensures a high-quality educational experience.
The revamped course, now doubling its content and depth, dives into the practical application of Machine Learning techniques for marketing analytics. Through a “learning-by-doing” approach, students will work with real-world data from sectors like telecommunications and banking. Key tools and algorithms covered include K-Means, PCA, Logistic Regression, Decision Trees, ensemble methods like Random Forest and Gradient Boosting, and even neural networks with TensorFlow.
The curriculum starts with a solid foundation in Python, covering essential libraries such as pandas, numpy, and matplotlib. From there, it progresses logically through customer segmentation using K-Means and PCA with telecom data, predictive modeling for banking with logistic regression, and lead conversion prediction for an online school using decision trees, random forest, and gradient boosting. The course also delves into advanced topics like hyperparameter tuning and cross-validation, culminating in an in-depth exploration of neural networks with TensorFlow.
A significant new addition to the updated course is the integration of ChatGPT for challenging assignments, pushing the boundaries of learning and preparing students for the evolving landscape of data analysis. This makes the course ideal for both marketing professionals seeking data science skills and individuals with existing statistical and programming knowledge looking to specialize in marketing applications. Even those new to Python will find the comprehensive introduction makes the course accessible, with no prior prerequisites.
If you’re looking to elevate your marketing analytics game and harness the power of machine learning, this updated Udemy course is a highly recommended resource. Carlos Martínez’s expertise and the course’s practical, data-driven approach promise a rewarding learning journey.
Enroll Course: https://www.udemy.com/course/analitica-de-mercadeo-con-python/