Pay When You Earn !
A 6 month Intensive Data Science, Machine Learning and AI course powered by
IVY Professional School
Get Mentored by faculty from IIM, IIT, McKinsey, BlackRock, US Universities
Accepting applications for new batch
Get hand on learning experience of various relevant industry tools and also practice real life cases studies and Capstone projects using Latest Data Science tools like TensorFlow, Python, Tableau
The founder and Director of Ivy Professional School. He has got several years of exposure in global business practices related to Consulting, Analytics, & e-business domains.He meritoriously earned his Masters’ in Management of Information Systems from the esteemed Texas A and M University in the US
The Director of Ivy Knowledge Services, bringing over 7 seven years of Project Management expertise.She had earlier directed the Client Relations for Ivy Professional School. Eeshani holds an MS in Civil Engineering from Texas A and M University in the US
The co-founder of Adorithm a state-of-the-art Artificial Intelligence and Machine Learning based startup, along with B.Tech from IIT Delhi.He had donned various hats of a business advisor, Analyst, Consultant etc. utilizing his statistics and analytics knowledge and expertise for various global business clients
Raju Kumar Misra
A consultant and corporate trainer for Data Analytics, Machine Learning and Deep Learning.Authoring two books on Data Structures and on Big Data already, he was a proud achiever of the Motorola medal for being the best graduate student of IISc 2010
The most appreciable thing of SkillEnable is their teaching methods and faculties. They try to mentor you in a way needed in your professional career
Good experience, professional teachers and organised team.
Mehul Kumar Das
It has been amazing for me and I think I can vouch the same for my batchmates. The faculties have been so helpful and attentive towards each one of us
Who is it for
Graduates/Postgraduates/Final year students from the field of Computer Science, Economics, Statistics, Mathematics.
Ideal age range is 22-30
Should bear necessary soft-skills or interpersonal qualities.
Working professionals are also preferred from the above mentioned streams.