Fundamentals of Python; Machine Learning with Python

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Currently:

  • The entire program is being conducted online.
  • Each program is of 15 hours, conducted in 3 hour online modules daily from Mon. - Fri. 
  • Program Fees
    • Fundamentals of Python  S$ 720 ( USD 525)
    • Machine Learning with Python  S$880 (USD 640)
Register your interest by filling in the form below and we will be in touch with you. For queries, email / call as per details given below.



Classroom Training Sessions for Machine Learning in Python

Program Duration: 6 days (9 am to 5:30 pm)

Program Locations: Singapore, Kuala Lumpur, Malaysia, Jakarta Indonesia

For special packages available for all those registering for 2 or 3 programs in Singapore, Kuala Lumpur or Jakarta, get in touch with us for the details. Once you indicate the programs of interest to you, we will let you know the schedules.




Overview of Programs
As the names suggest, Fundamentals of Python teaches the basics of the Python programming language whereas Machine Learning with Python is an advanced course which delves into statistics, popular algorithms using Python and various applications in Machine Learning developed using Python.

Python is one of the top 5 popular programming languages of 2018. Python is a general purpose and high level programming language. Python can be used for developing desktop GUI applications, websites and web applications. Python, as a high level programming language, allows developers to focus on core functionality of the application by taking care of common programming tasks. The simple syntax rules of the programming language further makes it easier for coders to keep the code base readable and application maintainable.

Python is widely used for machine learning and various other AI & Analytics applications. Its structure fairly resembles how humans think and, owing to its English-like syntax and self-documenting properties, it is the language first learnt by many who have no prior background or experience in programming. For those intending to work in the domains of Machine Learning, Python is virtually a must-learn programming language.

Key Takeaways for Participants:

Fundamentals of Python
  • Learning the basics of one the hottest and highly in demand programming languages used in AI, Analytics, Web developments and various apps, enhances your 'market value.'
  • Given its English-like syntax & structure, learning Python does not require prior knowledge of programming.
  • A knowledge of Python, together with a knowledge of AI, Machine Learning, Deep Learning & smart Robotics could open up various possibilities within your present organization and externally as well.
Machine Learning with Python
  • Being one of the most widely used languages in AI & Machine Learning Apps, this program equips you to get into the exciting and cutting-edge world of AI & Machine Learning.
  • It provides you with the statistical knowledge / refresher which is so necessary for a professional foray into the world of AI & Analytics.
  • Given its wide use in Web developments as well as various app developments, it equips you to become a developer in those domains also.
  • For those with no prior knowledge in or background of programming, this program, preceded by the 'Fundamentals of Python' program would equip participants adequately for a career in the high demand and high growth area of Python programming.

 Faculty: Dr. Sudipta Das
Dr. Sudipta Das graduated in Electrical Engineering and has subsequently done his Ph.D. in the same discipline, after doing his post-graduation in Control Systems.


He has several years of industry experience and is currently an Asst. Professor in the Department of Data Science for a private University, where, among various subjects, he has also been involved in teaching Python & ‘R’.


He has a number of published papers in the domains mentioned to his credit and is a visiting scientist at the Indian Statistical Institute (ISI), involved in the areas of Statistical Quality Control & Operations Research. His research interests include Data Analytics, Stochastic Systems and Real-time systems.