What you'll learn
Review the fundamental concepts of ethics, and discuss how data ethics differs from legal frameworks regulating data
Understand how to be an effective steward of data, and review the ethical implications of collecting and managing sensitive data
Learn how to detect and mitigate common forms of bias, including sampling, selection, algorithmic and confirmation bias
Dive into the world of AI and explore unique ethical challenges in terms of data collection, bias, and societal harm
Requirements
This is an entry-level course (no prerequisites)
Some experience working with data is helpful, but not required
Description
Data and AI Ethics are topics that most data leaders and professionals don't learn in school, or on the job.But as the volume of data grows and the impact of ML & AI algorithms continues to increase, understanding the ethical implications of our work – and how to prevent & mitigate ethical lapses – is more important than ever.We'll start this course by defining AI and Data ethics before moving on to what it means to be an ethical steward of data.From there, we'll dive into the types of bias that can be present in your data and how it can propagate into analyses and algorithms in a way that can not only raise ethical questions, but also negatively impact your company's bottom line.Next, we'll dive into the world of modern AI models, and the unique risks and ethical concerns posed by powerful generative AI tools. We'll use case studies to highlight real-life controversies, discuss how to mitigate the risk of ethical lapses, and use thought exercises to help you develop the skills to anticipate, identify, and mitigate the risk of ethical lapses in your day-to-day work.COURSE OUTLINE:Data Ethics 101Introduce the fundamental concepts of ethics, and discuss how data ethics differs from legal frameworks regulating dataEthical Data StewardshipUnderstand how to be an effective steward of data, and review the ethical implications of collecting and managing sensitive dataData & Algorithmic BiasLearn how to detect and mitigate common forms of bias, including sampling, selection, algorithmic and confirmation biasAI Ethics & ImpactDive into the world of AI and explore unique ethical challenges in terms of data collection, bias, and societal harm__________Ready to dive in? Join today and get immediate, LIFETIME access to the following:1.5 hours of high-quality video6 real-world case studies9 thought exercises4 course quizzesData & AI Ethics ebook (50+ pages)Expert support and Q&A forum30-day Udemy satisfaction guaranteeIf you're looking for a unique and highly engaging way to learn about data and AI ethics, this course is for you.Happy learning!-Chris Bruehl (Data Science Expert & Lead Python Instructor, Maven Analytics)__________Looking for our full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, Tableau and Machine Learning courses!See why our courses are among the TOP-RATED on Udemy:"Some of the BEST courses I've ever taken. I've studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I've seen!" Russ C."This is my fourth course from Maven Analytics and my fourth 5-star review, so I'm running out of things to say. I wish Maven was in my life earlier!" Tatsiana M."Maven Analytics should become the new standard for all courses taught on Udemy!" Jonah M.
Who this course is for
Data leaders looking to build a deeper understanding of the ethical concerns prevalent in modern data products and projects
Individual contributors who want to learn more about how they can identify and mitigate potential ethical issues in their day-to-day work
Anyone looking for a thought-provoking and highly engaging course on ethics in the age of AI

https://rapidgator.net/file/87b64cae41ce390ca2585eee2e2a9795/Intro_to_Data_&_AI_Ethics.rar.html