Data Science & Machine Learning Course(Classroom Training)

rAIse stands for rise with AI. Which offers an attractive mix of lectures, practical cases and group work supervised by the experts from Eduwaive Foundation and other Industry experts in AI & related technologies under fourth industrial revolution such as ML, IOT, NLP, Computer Vision, BlockChain, Video Analytics & Cloud Computing. Gains hands on exposure to key technologies.

Programme

  • Enables to extract valuable information for use in strategic decision making by algorithms.
  • Teaches Data Science concepts & process which are derived from Statistics, Machine Learning, Data Engineering and Big Data.
  • Experience world-class training by an industry experts on the most in-demand Data Science and Machine learning skills.

             This course is a part of rAIse programme, which offers an attractive mix of lectures, practical cases and group work supervised by the experts from Eduwaive Foundation and other Industry experts. Gains hands on exposure to key technologies.

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Rudramuni Swamy - Program Management

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Contact at – +91 83601 68458

Here are few courses that we run under rAIse

Concepts taught in the course:

  • Python for the Data Analysis
  • Python for the Data Visualization
  • Applied Machine learning
  • SQL, Big Data and Spark with Python
  • Neural Networks and Deep Learning 
  • Introduction to Google Cloud
  • Introduction to AWS Cloud Platform
  • Basics of Software Development

For full course outline please click here

Tools Covered

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For more information contact us at contact@eduwaive.org

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For more information contact us at contact@eduwaive.org

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For more information contact us at contact@eduwaive.org

Coming Soon

For more information contact us at contact@eduwaive.org

Coming Soon

For more information contact us at contact@eduwaive.org

Coming Soon

For more information contact us at contact@eduwaive.org

Coming Soon

For more information contact us at contact@eduwaive.org

Coming Soon

For more information contact us at contact@eduwaive.org

Coming Soon

For more information contact us at contact@eduwaive.org

Coming Soon

For more information contact us at contact@eduwaive.org

Practical Information about course

  • The course fee for students – Rs. 6500 + 18%GST & for Industry Professional – Rs. 7500 + 18%GST – per person. The course fee includes course materials in soft copy (Note : Carry your own laptop with data modem)
  • Group discounts also available
  • Last date for registration – 19/09/2019
  • Maximum number of participants – 10
  • Course starts from – 21/09/2019 and lasts upto – 13/10/2019 (Weekend Course. For more information click here)
  • Timings – 10:00AM to 4:00PM

Course Instructors

Mr.Puneet JindalChief Data Scientist

He is ISB, Hyderabad CBA alumnus and comes with more than 9 years of experience with 5 years as core Data Science experience in banking, e-commerce, logistics, travel etc

Mr.Pulin Pathneja – Chief Data Engineer.

A PEC alumnus, with more than 13 years of industry experience in Startups & Corporates. He is a polyglot and has been involved in creating an architecture of BigData and ML projects for Telecom, Banking, Travel etc

Nitish Singla – Product Lead

A Product Visionary with MBA from SYMBIOSIS and was initial member of “Products & Strategy team’ at LENSKART. Out of total 8 years of Industry experience 5 years were into Product Strategy, Product Validation, Design, User Experience, Go to Market Strategy. Having rich experience in domains like e-commerce, Social-Media, Manufacturing, Automobile, Information technology along with Six-Sigma Green belt Certification from KPMG

Ximi Hoque – Data Scientist

He comes with 3+ years of full-stack data science experience in industry along with academia who is an open minded developer and technical lead & leaves no stone unturned for what is possible.

Deep Dhillon – Data Analyst

A Data Analyst with expertise in Machine Learning concepts, he often ties different fields together to get a new way ! He has worked in Big Data solutions around Hadoop, Spark, building full scale ETLs and also incorporating Machine Learning. Visualizing and getting insights out of data is also his forte!

Romio – Full Stack Developer

LPU alumni, having more than 2-years of experience in web designing and development and having proficient skills in Full Stack development.

Alisha Bansal – Business Analyst

Ambitious learner and Big Data Explorer, she has mastered Business Analytics from Arizona State University. Earlier worked on a few client projects and has hands on experience in Python, R, NLP etc. She understands that you can sell your product not just by technical expertise but by using story telling for communication.

For course registration

Click Here

Bank details for the payment

Account No. – 50200035877926

IFSC Code – HDFC0000873

Branch – Industrial Area, Chandigarh

Note – Please share your transactions details to us at accounts@eduwaive.org

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