At UNP, we strive to develop data scientists who are committed to sustainability and train them to shape a healthy future for our planet. Almost every organization today is trying its best to operate sustainably and support the planet. But how do they assess the impact of their efforts or know if they can do better? At UNP, we believe that the most effective way is through collecting and digging into data to make informed decisions. And to achieve the global goals for sustainability, we will require an army of data warriors trained on sustainable development. UNP affiliated data scientists not only thrive to make it fair for the planet but also every individual, like you and me. They are trained to identify biases, explain the outcome of their models, and the cost of a wrong decision.
This is a specially curated course for the under-graduates wherein, while designing the syllabus, we have considered what is the requirement in the Industry and how we need to go about the teaching practices to make a under-grad “accorporate ready” .
100 hrs course ( 48 hrs dedicated virtual classroom + 8 hrs of International MOOC + 44 hrs of guided practice and projects)
Application Based threaded Projects : House Price Index to Face Recognition
There are a number of ways in which you or your organization can engage and benefit from UNP
The instructor has put together a very handy and practical guide that combines modeling and dev-ops in one succinct course. It is ideal for a working professional who wants to get the low-down at a rapid but hands on pace. Excellent material!
Very good explanations
The course is really amazing for beginners in Tensorflow. In depth explanation of every topic with real world examples.It really helped me in very efficient way to learn it quickly with good hands on experience as well. I will highly recommend it to every deep learning enthusiasts.
You Can Learn
Enroll for the under grad Program
Gather the best in class Data Science Knowledge
Prepare yourself to face Interviews
Sit for the interviews and bag your jobs.
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