Introduction to Python (Non-IT)

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Course Description

Python is a popular, easy to learn programming language. It is commonly used in the field of data analysis because there are very efficient libraries available to process large amounts of data. This so-called data analysis stack includes libraries such as Pandas, and Matplotlib that we will familiarize ourselves with in this course.

Objectives

Objectives
  • Use Python as a programming tool to do data exploration, manipulation, and visualization
  • Recognize the importance of Python programing language and what it can do
  • Read and store data using Pandas
  • Compute statistical parameters for specific data.
  • Represent data graphically using Matplotlib.
  • Be able to build a simple Python code that processes simple data
  • Manipulate data using Pandas
  • Acquire thorough knowledge about the different terminologies used in Data Science.

Course Topics

Course Topics
  • Python Basics
  • Pandas Basics in Python
  • Statistics for Data Science
  • Matplotlib in Python and Data Science Terminologies

Course Mode

Course Mode
Blended (Online and Face-to-Face)

Course Level

Course Level
Intermediate

Course Language

Course Language
English
Arabic

Course Category