This program equips researchers, analysts, and academic professionals to leverage artificial intelligence for faster insights, precise data interpretation, and transformative innovation across academic, corporate, and scientific domains.
AI for Research & Analysis
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
AI-Powered Research Techniques: Apply AI to enhance data collection, hypothesis testing, and analytical workflows.
Advanced Data Analysis: Use AI tools for dataset handling, statistical modeling, and predictive insights.
Ethical AI in Research: Ensure fairness, transparency, and ethical practices in AI-driven studies.
Practical Tool Mastery: Gain hands-on experience with TensorFlow, Scikit-learn, AI Fairness 360, and Zotero for research and analysis.
Details to know
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Recently updated!
February 2026
Assessments
8 assignments
Taught in English
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There are 8 modules in this course
This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.
What's included
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Instructor
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Frequently asked questions
Researchers, data analysts, academic professionals, market researchers, and students seeking AI-driven research skills.
No prior AI experience is required. A basic understanding of research methodologies is helpful.
Hands-on exposure to TensorFlow, Scikit-learn, AI Fairness 360, and Zotero.
More questions
Financial aid available,