Master Python programming, data science, machine learning, and web development. Unlock your programming potential, learn to automate tasks, analyze data, and build applications.

Training on Introduction to Python

Course Description:

Python is one of the most versatile and widely-used programming languages today. This course is designed for individuals who want to gain foundational knowledge in Python programming. Whether you're looking to enhance your career prospects, enter the field of data science, or simply learn a new skill, this course provides a solid introduction to Python's capabilities.Throughout the course, participants will explore Python's syntax, data types, control structures, functions, and libraries. The course is structured to balance theoretical concepts with practical exercises, ensuring that participants can apply what they've learned in real-world scenarios.By the end of the course, participants will be able to write basic Python scripts, understand data structures, and implement simple algorithms.

Duration

10 Days

Who Should Attend?

  •      Beginners with no prior programming experience.
  •      Programmers from other languages looking to learn Python.
  •      Data enthusiasts and analysts     
  •      Web developers.
  •      Anyone interested in exploring the world of artificial intelligence and machine learning

Prerequisites:

No prior programming experience is required. A basic understanding of computer concepts will be helpful but not necessary.

Course Level: Foundation

Course Objectives

By the end of this training, you will:

  •     Master Python Fundamentals: Learn the basics of Python programming, including variables, data types, operators, and control structures.
  •     Understand Object-Oriented Programming (OOP): Explore the principles of OOP in Python, including classes, objects, inheritance, and polymorphism.
  •     Work with Data: Discover how to manipulate data using Python's built-in libraries, handle files, and process text and numbers effectively.
  •     Web Development: Get started with web development using Python, including creating web applications and using popular frameworks like Django and Flask.
  •     Data Analysis: Dive into data analysis with Python by using libraries such as Pandas and NumPy to clean, analyze, and visualize data.
  •     Machine Learning and AI: Gain an introduction to machine learning and artificial intelligence using Python libraries like TensorFlow and scikit-learn.
  • ·   Real-World Projects: Apply your skills to real-world projects to solidify your understanding and build a portfolio to showcase your abilities.

Course Overview

Module 1: Python Overview

  • Enter statements into the Python Console
  • Identify and access documentation

Module 2: Working with Numbers and Strings

  • Define an object and a type
  • Assign objects to variables
  • Employ arithmetic operators
  • Use string operations and methods
  • Index and slice strings
  • Make decisions using the if statement

Module 3: Collections

  • Learn about lists, tuples, dictionaries and sets
  • Create and modify list operators and methods
  • Index and slice lists and tuples
  • Create and process dictionaries using functions and methods
  • Perform set arithmetic
  • Test for membership in a collection
  • Iterate using for and while loops
  • Apply list comprehensions

Module 4: Functions

  • Create functions
  • Call functions using positional and keyword argument passing
  • Handle unlimited numbers of keyword or positional arguments
  • Return values from functions
  • Know the 4 levels of scope

Module 5: Object-Oriented Programming

  • Define classes
  • Add attributes using the constructor method
  • Add additional methods to objects
  • Access class attributes
  • Leverage inheritance

Module 6: Modules

  • Import additional modules
  • Access attributes from another namespace
  • Inspect the current namespace
  • Test the __name__ attributes
  • Access modules from the standard library
  • Navigate package contents

Module 7: Managing Exceptions and Files

  • Handle exceptions raised by Python
  • Raise exceptions
  • Open, close, read and write to files
  • Iterate through a file
  • Leverage the context manager to open and close files
  • Define the 3 standard streams

Module 8: Accessing Relational Databases with Python

  • Describe a relational database
  • Describe the steps to access a database from a Python program
  • Create a database connection
  • Interact with the database through a cursor
  • Execute SQL statements using a cursor
Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

A certificate from Ideal Sense & Workplace Solutions is awarded upon successful completion.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealsense.org.
For further inquiries, please contact us on details below:

Email: outreach@idealsense.org
Mobile: +254759708394

Register for the Course

Classroom Training Schedules


Sorry, no scheduled dates available. Contact us for a custom date.

Online Training Schedules


Sorry, no scheduled dates available. Contact us for a custom date.

For customized training dates or further enquiries, kindly contact us on +254759708394 or email us at outreach@idealsense.org.

Related Courses


Learners' Benefits

See What Our Learners Get

World Class Learning
Ideal Workplace Solutions

Subscribe to the Ideal Workplace Solutions Guide!

Get updates on the latest posts and more from Ideal Workplace Solutions straight to your inbox.