Learn data analysis, AI fundamentals, and practical decision-making using real-world datasets
Sub Category
- Data Science
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Objectives
- Understand and apply core data analysis techniques to collect, clean, explore, and interpret real-world datasets with confidence.
- Transform raw data into meaningful insights using exploratory analysis, visualization, and basic statistical reasoning to support decision-making
- Explain how artificial intelligence and machine learning rely on data, including how analytical outputs feed into intelligent systems
- Evaluate data and AI results critically, identifying bias, limitations, and common pitfalls that can lead to incorrect or misleading decisions.
- Use data and AI responsibly by understanding privacy concerns, ethical considerations, and when human judgment should override automation.
- Build a complete data-to-decision mindset, connecting analysis, AI concepts, and business or real-world impact.
Pre Requisites
- Basic computer skills and comfort using common software tools
- Curiosity about data, AI, and decision-making
- A willingness to think critically and practice with examples
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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