Data Science and Machine Learning for Business Professionals

About this course

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

Course objectives

• build foundational skills in data analysis and machine learning
• develop critical thinking skills related to data
• gain practical strategies for data-driven decision making