Data Science and Machine Learning for Business Professionals

Based on the best-selling book, Becoming a Data Head, by Alex J. Gutman and Jordan Goldmeier. This course provides learners with the foundational skills to think critically about data and turn insights into actionable decisions. It covers key areas in data science, statistics, and machine learning, helping learners analyze data confidently and communicate findings effectively in diverse professional settings. By taking this course, you'll build both technical knowledge and professional judgment in data-driven decision-making. You'll gain the ability to challenge assumptions, evaluate machine learning techniques, and apply statistical principles to real-world data to derive meaningful insights. What makes this course unique is its blend of theory and real-world applications. It equips you with a comprehensive understanding of data science and machine learning methods, while emphasizing practical strategies and effective communication to non-technical stakeholders. This course is designed for professionals, students, or aspiring data practitioners with a basic understanding of data concepts. Whether you're in business, technology, or analytics, the course is perfect for anyone looking to enhance their data analysis skills without requiring advanced math or programming knowledge. From Becoming a Data Head Copyright © 2021 by John Wiley and Sons Inc Indianapolis Indiana Used by arrangement with John Wiley and Sons Inc

• Evaluate machine learning techniques and appropriate applications
• Identify biases and challenge assumptions in data analysis
• Communicate data insights effectively to non-technical audiences

• Basic familiarity with key concepts and terminology
• Willingness to engage in practical exercises or case studies