Fractal Analytics |
Fractal Data Science (CourseraSpecs) https://www.coursera.org/professional-certificates/fractal-data-science Offered by Fractal Analytics. Launch your career in data science. Build job-ready skills and hands-on experience for an in demand career in ... |
Human Decision Making and its Biases (Coursera) https://www.coursera.org/learn/human-decision-making-and-its-biases This course discusses the biases and limitations of the human brain ,strategies to overcome these biases, and critically analyzes data while making decisions and recommendations. Analyzing data effectively and objectively is a long journey and the first step is to be aware of these biases, prejudices and perceptions. By the end of this course, you would develop a deep understanding of the biases that affect human decision making and the methodologies to apply in countering these biases. You w |
Responsible AI in the Generative AI Era (Coursera) https://www.coursera.org/learn/responsible-ai-in-generative-ai This one-week microlearning course provides an introduction to the Principles of Responsible AI and how those principles align with the Generative AI or GenAI space. It also informs the learners about the various challenges that Generative AI brings. You will explore the fundamental principles of responsible AI, and understand the need for developing Generative AI tools responsibly. By the end of this course, you will be able to discuss the challenges posed by Generative AI and the principle |
Structured Approach to Problem Solving (Coursera) https://www.coursera.org/learn/structured-problem-solving This course is an introductory course that equips you with the concepts and tools of problem thinking. By the end of this course, you will be able to: 1. Explain the different stages of a data science project 2. Discuss some of the tools and techniques used in data science. 3. Apply structured thinking to solving problems and avoid the common traps while doing so 4. Apply human-centric design in problem-solving. This course also acts as the first stepping-stone for aspiring data scienti |