This specialization offers a structured, progressive learning journey from foundational concepts in data science to advanced machine learning techniques. It begins with Foundations of Data Science and Statistical Methods, introducing you to the essentials of data science, statistics, and data exploration. The second course, Data Processing, Machine Learning, and Model Evaluation, delves into the intricacies of data processing, modeling, and validation, building on the core concepts covered in course one. Finally, Advanced Machine Learning, Neural Networks, and NLP focuses on applying machine learning models to complex data, such as through neural networks and natural language processing. Through each course, you will engage with applied exercises to reinforce your skills, preparing you for real-world data challenges.
From CompTIA DataX Study Guide Copyright © 2024 by John Wiley & Sons, Inc. All rights, including for text and data mining, AI training, and similar technologies, are reserved. Used by arrangement with John Wiley & Sons, Inc.
Projet d'apprentissage appliqué
Applied exercises and case analyses are integrated throughout the courses, offering learners structured opportunities to apply key data science concepts and methods in realistic contexts. These activities encourage reflection, skill development, and real-world problem-solving aligned with industry standards.
