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Time Series Forecasting using Python for Industrial Engineers
August 15, 2020 @ 8:00 pmPkr1000
In the continuation of our Road to Industry 4.0 mission, PSIE brings forward a hands-on workshop training session with Dr. Hakeem ur Rehman on Time Series Forecasting using Python. We have already conducted his 3 sessions and would like to now provide you an opportunity for a hands-on live session.
Dr Hakeem-Ur-Rehman is a dynamic consultant, trainer & an academician with over 10 years of experience at leading Pakistan academic institutions such as University of the Punjab, Lahore; National Textile University, Faisalabad and professional executive training bodies such as National Productivity Organization (NPO)-Lahore, Ministry of Industries & Production, Pakistan and Haier training institute, Lahore, teaching students and train professionals from various industrial engineering and management sciences backgrounds. He involves as a Resource Person in a number of professional training/courses like Lean Six Sigma (Green and Black Belt), Lean Thinking–Process Mapping to Value Stream Mapping, SPC using Minitab, and Project Management using Primavera, etc. His academic background includes a PhD. Management Science & Engineering (Supply Chain Management), from Shanghai Jiao Tong University, Shanghai, China; MS–Total Quality Management and MSc in Information & Operational Management (Operations Research) from University of the Punjab, Lahore, Pakistan. He is also Certified Six Sigma (Black Belt) & IRCA (UK) Lead Auditor of QMS.
The registration fee is Rs. 1000/- for non-members.
While there is a 50% discount for PSIE members the registration fee is Rs. 500/-
P.S. There will be no fee for those who attended the previous sessions.
Please send the registration amount to the following bank account:
Bank Name: Meezan Bank
Account Title: Azeem Iqbal
Account Number: 02120102230605
After you have made the transfer send a screenshot proof to the following email address:
and fill this registration form:
Don’t miss this opportunity to attend this live session