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Python

$ 250.00 $ 120.00

Duration: 8 sessions (2 sessions a week)

Python is the fastest growing and most popular programming language among students. This course will teach you the fundamentals of programming in Python 3 combining elements that promote student engagement with strategies that help them build strong programming skills. You’ll learn about python variables and data forms. Understand to use conditions and loops to control program flow. Learn to use list and dictionaries to store the data in python. Explore other modules in the Python Library – turtle, NumPy and JSON. Each topic will consist of practical experiments followed by major projects through an in-browser code editor enabling students to experiment with their code and share with the instructor. There’s no need for prior coding knowledge, but kids start programming right away.

Python Junior: 8-12 yrs
Python Advance: 12-15 yrs

Course Fee 250 USD

Early Bird Offer 120 USD

 

SKU: Arduino-1 Category:

Description

Learning Objectives

  • Introduction to Python basics:
  • Python is a high-level, interpreted scripting language developed by Guido Van Rossum in 1980. We choose python language because of its popularity. Complete Python basics will be covered in the first level course with the help of fun libraries like Turtle.
  • Introduction to Python Tkinter Library:
  • Tkinter is the standard GUI library for Python. Python when combined with Tkinter provides a fast and easy way to create GUI applications. Students will be introduced to the basic level of windows application designing using tkinter and its widgets.
  • Introduction to Data Analysis:
  • Once students learn the Python basics extensively through projects, they can explore the significance of data in the present generation.
    Data Analysis is defined as a process of cleaning, transforming, and modelling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and make the decision based upon the data analysis. Students will learn to use Python libraries like Panda, Numpy and Matplotlib to Analyze famous datasets.
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