Wiley-Expert Edge Course Instructors
1 week to complete at 10 hours a week
This course provides learners with the foundational skills to think critically about data and turn insights into actionable decisions, covering key areas in data science, statistics, and machine learning.
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.
The course covers a range of topics, including evaluating machine learning techniques and their appropriate use cases, challenging assumptions and identifying biases in data and analysis, and communicating data insights effectively to non-technical stakeholders. Specific areas covered include business analytics, probability, data-driven decision-making, data collection, unsupervised learning, predictive modeling, machine learning, statistics, text mining, communication, exploratory data analysis, business communication, data science, deep learning, statistical inference, data literacy, data analysis, machine learning methods, data visualization, and probability & statistics.
This course is offered by Wiley-Expert Edge, a partnership between John Wiley & Sons and leading experts in various fields. Wiley has a legacy of over 200 years in publishing and is committed to fast-tracking innovation, unlocking new possibilities, and championing breakthroughs that redefine industries and improve lives. The course is based on the best-selling book, Becoming a Data Head, by Alex J. Gutman and Jordan Goldmeier, ensuring the content is both comprehensive and practical.
By completing this course, you'll gain the skills to analyze data confidently, challenge assumptions, and communicate insights effectively in a variety of professional settings. The course covers a range of career-relevant topics, from business analytics and data-driven decision-making to machine learning and statistical inference. Whether you're looking to advance your career in data, technology, or business, this course will equip you with the knowledge and tools to drive informed, evidence-based change.
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