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 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 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@idealworkplacesolutions.org.
For further inquiries, please contact us on details below:
