Python for Data Science and Artificial Intelligence  

LEVEL : BEGINNER            HRDF : CLAIMABLE

TRAINERS : ASSOC. PROF. DR. MOHD ZUKI YUSOFF & Assoc. Prof. Dr Mohd Soperi M Zahid 

 

WHEN  


28 SEPTEMBER -

1 OCTOBER 2021

 

WHERE 


MS TEAMS

(Online)

 

TIME


9.00AM - 1.00PM

 

RM 900 FOR PROFESSIONALS

10% Discount for Early Bird (until 28 August 2021) / Group / Students

COURSE SUMMARY

INTRODUCTION

This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python. Python is the number one language choice for data science and artificial intelligence. Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level, built-in data structure, combined with dynamic typing and dynamic binding, makes it very attractive for rapid application development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy-to-learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python is easily ported to different types of operating systems, such as Windows and Linux, and a Python program written on one operating system can be used on another.

In this course, participants will master all the Python key concepts which include the basics of Python, Python data structures, Python programming fundamentals, data manipulation in Python, Python toolboxes/libraries such as NumPy, Pandas, Scikit-Learn, Matplotlib, and Seaborn. Ultimately, the participant will be able to apply the power of Python to process and analyze data, create beautiful visualizations, and utilize powerful machine and deep learning algorithms.

COURSE CONTENT
  • Python Basics, Python Data Structure, Python Programming Fundamentals and Data Manipulation: Variables; Functions; IF Statements; List; Loops; Dictionaries and Sets; Input and Output (I/O); Classes; Importing; Error Handling.
  • Python Toolboxes/Libraries: NumPy; Pandas; SKLearn; Matplotlib; Seaborn.




OBJECTIVES

Upon completion of this course, participants will be able to:

  • Acquire fundamental knowledge and understanding of the Python programming language.

  • Utilize and apply Python skills in Data Science, Machine Learning, Deep Learning, etc.

WHO SHOULD ATTEND?

  • Anyone looking to build the Python programming skills and apply these into data science and artificial intelligence.






OUR TRAINER



1. Assoc. Prof. Dr. Mohd Zuki Yusoff (UTP)

Dr. Mohd Zuki Yusoff specializes in embedded systems (microprocessor and microcontroller) teaching/training. He is currently an associate professor at UTP and is the Head of Centre for Intelligent Signal and Imaging Research (CISIR) and a member of the Institute of Health & Analytics (IHA). He is currently undertaking research in brain signal processing (brain computer interface; learning effectiveness; driver drowsiness; road rage). He holds one patent related to the extraction of event related potentials from background EEG, and two more patents in telecommunications related areas. He is a member of the following learned societies and professional body: IEEE, Tau Beta Pi—the National Engineering Honorary Society, Eta Kappa Nu—the Electrical and Computer Engineering Honorary Society. Dr. Zuki has accumulated over 30 years of experience working with various industries and academic/training institutions; these include Universiti Teknologi PETRONAS (UTP), Celcom Academy, Politeknik Sultan Abdul Halim Mu’adzam Shah (POLIMAS), Malaysian Institute of Microelectronic Systems (MIMOS), and Singatronics (M) Sdn Bhd. He is a certified Curriculum Designer & Developer, awarded by Sepang Institute of Technology (SIT) and Douglas Mawson Institute of TAFE in March 1999.



2. Associate Professor Dr Mohd Soperi M Zahid  (UTP)

MOHD SOPERI MOHD ZAHID received the Ph.D. degree in Computer Science from University of Wisconsin – Milwaukee, WI, USA in 2009. He served as a Faculty Member with Universiti Teknologi Malaysia since 1998 before joining Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Malaysia as Associate Professor in 2017. Besides teaching Computer Science undergraduate and graduate courses, he has conducted some short courses on Machine Learning using Python. Mohd Soperi has published more than forty journal and conference papers. His current research interests include machine learning for computer networking and healthcare.




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REGISTRATION FEES

      ProfessionalS       

myr900

*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)

Early bird/ group/ student

myr810

*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)

OUR LOCATION

Centre for Advanced & Professional Education (CAPE)

 Level 16, Menara 2, Menara Kembar Bank Rakyat, 50470, Jalan Travers, Kuala Lumpur.

CALL US

+605 - 368 7558 /

+605 - 368 8485

DROP US AN EMAIL

cape@utp.edu.my