This specialization is designed for post-graduate students interested in mastering social computing techniques to solve real-world problems. Through four in-depth courses, learners will explore key topics such as social network analysis, chatbot development, crowdsourcing, and AI performance optimization. You will learn to analyze social networks using R programming, create functional chatbots with AWS, and enhance AI models by leveraging crowdsourced data and machine learning techniques. By the end of the specialization, you will have practical experience applying advanced tools and methodologies across domains like social media analytics, conversational interfaces, and human-AI collaboration. This hands-on, industry-relevant learning path equips you with the skills needed to excel in social computing, artificial intelligence, and data-driven innovation.
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Johns Hopkins University is in Tier 1: world-leading universities and India's top institutes of our institution ranking (93/100).
Instructor: Prof. Gary Gensler View the complete course: https://ocw.mit.edu/15-S12F18 This course is for students wishing to explore blockchain technology’s potential use - by entrepreneurs & incumbents - to change the world of money and finance. License: Creative Commons BY-NC-SA More information…
This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performa…
This is CS50P, CS50's Introduction to Programming with Python. Register for free at https://cs50.edx.org/python. Slides and source code at https://cs50.harvard.edu/python. Playlist at https://www.youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V. An introduction to programming using a la…
This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming, for concentrators and non-concentrators alike, with or without prior programming experience. (Two thirds of CS50 students have never taken CS before.) This course teaches…
Instructor: Ana Bell View the complete course: https://ocw.mit.edu/courses/6-100l-introduction-to-cs-and-programming-using-python-fall-2022/ *Note: Lectures 6, 10 have been updated! This subject is aimed at students with little to no programming experience. It aims to provide students with an under…
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. The goal is to understand the role of mathe…
