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.
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.?
Objectives:
Upon completion of this course, participants will be able to:
The Centre for Advanced and Professional Education or CAPE UTP was established in May 2016 to provide flexible post-bachelor degree opportunities by developing sustainable programmes and modules of professional short courses.
CAPE aims to be the sought after partner to the industry by providing a platform for flexible learning to diverse learners and access to the Universiti Teknologi PETRONAS’s intellectual resources.
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