Learning Outcomes
The learning outcomes for the student will be:
The program has 4 academic terms including an industry-focused curriculum.
Course |
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Foundations of Probability and Statistics for Data Science |
Digital and Social Media Analytics |
Business Communication and Presentation Skills for Data Analytics |
Essential Engineering Skills in Data Analytics Using R and Python |
Course |
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The Art and Science of Storytelling with data Visualizations |
Statistics and Probability in Decision Modeling -1 |
Statistics and Probability in Decision Modeling -2 |
Hands-on Data Science Project 1 |
Course |
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Behavior Science and Analytics |
Project Management |
Methods and Algorithms in Machine Learning -1 |
Design Thinking |
Course |
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Methods and Algorithms in Machine Learning -2 |
AI and Decision Sciences |
Hands-on Project 2 (AI & ML) |
Economics for Analysts |
The 12-month program with 4 academic terms equips you with the most coveted skills like:
The faculty pool consists of over 50+ world class products builders, researchers and consultants scholars. These are practicing academicians & PhD holders from top Universities with 20+ years of average work experience, 75+ patents & 300+ research papers.
Post completion of the course participants can advance their careers in roles as Data Scientists and Machine Learning Scientists with data driven companies like Amazon, LinkedIn, Google among many others.