In this Short-Term Course on Pandemic Analytics, Data Analysis will be performed with Python is one of the most approachable languages for Machine learning users. This course is designed to help participants understand the basics of Python by applying cutting edge technology such as Machine Learning and Data Analytics. The Course is organized by Human Resource Development Center (HRDC), LPU.

Key Skills that you will learn in this workshop

  • Acquire the competencies of Pandemic Analytics.
  • Perform Exploratory Data Analysis & Visualization of data.
  • Build a Predictive Model using Machine Learning.
  • Creating interactive visualizations through parameters.

The Course is going to be instructed by

Lead Instructor: Dr. Lovi Raj Gupta, Executive Dean, Faculty of Technology & Sciences, Lovely Professional University.

Co-Instructors: Mr. Manikant Roy is M.Phil. in Computer Science from (IIITM-Kerala) and was a graduate visiting scholar in IIT Kanpur. He has been a seasoned “Technology Evangelist” for Microsoft, Wipro, Google, and Intel.

Ms. Jasmine Kaur is M. Tech in Computer Science and Engineering from NITTTR Chandigarh. She has three patents on her name.

The workshop is going to take place from 1st July to 14th July 2020 for 2 Hours, Daily from 10:00 AM to 12 Noon IST at the Zoom Platform. This 14-day course will help you to understand statistical analyses, predict future trends from data, and many more topics.

The only requirement for this course is Jupyter Notebook Software other than this basic knowledge of working on computer and internet connection. No prior knowledge of Programming and Mathematics is necessary. Just a spark to learn is needed in this course.

The last date for registration is 29th June 2020. To register, navigate to announcement and register before the 29 of June. E-Certificates will be awarded to the participants with eligibility criteria i.e. 100% Attendance and Post Training Evaluation. To know more and to register, navigate to the Announcements on LPU Touch or UMS.

“We will not be able to understand the problem without good quality data and analysis, to measure it and get the solution”