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Data Science and Machine Learning for Bu...
Data Science and Machine Learning for Business Professionals
Coursera
MOOC / Non-credit
USD 49
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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
What you'll learn
understand key concepts in data science and machine learning
analyze data confidently
communicate data findings effectively
apply statistical principles to real-world problems
evaluate machine learning techniques
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
Skills you'll gain
data-driven decision making
business analytics
machine learning
critical thinking
data visualization
data analysis
data science
statistics
statistical principles
insight communication
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