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Python Programming
60 Hours Certification Training Course
Learn From Industry Experts
* Only Limited Slots Per Batch
* No Prior Coding Experience Required
Join Our Upcoming Masterclass, For Free !
Join Our Upcoming Masterclass, For Free !
KEY FEATURES
Live Classes
60 Hours
Virtual Lab Support
For Practicals
Industry Expert
Learn From Top Industry Expert
Live Projects
Work On Capstone Projects
Overview of this Certification Course
This course is designed to introduce participants to the fundamentals of Python programming language. Starting from basic syntax and data types, participants will progress through control flow, functions, modules, and object-oriented programming concepts. Emphasis will be placed on hands-on coding exercises and real-world applications to reinforce learning.
Prerequisites of this Course
- No prior programming experience is required. However, familiarity with basic computer operations and logic would be beneficial.
Course objectives
- To understand the fundamental concepts of the Python programming language.
- To gain proficiency in writing Python scripts to solve real-world problems.
- To learn about data structures and algorithms using Python.
- To explore various Python libraries and modules for different applications.
- To prepare participants for further study or work in Python development.
Who can apply?
- Beginners who have no prior experience in programming.
- Students or professionals looking to expand their skill set with Python programming.
- Anyone interested in learning a versatile and widely-used programming language.
Our Hiring Partners
Skills You Learn From this Course
Fundamental Cybersecurity Concepts
Cyber Threat Analysis
Network Security
Operating System Security
Secure Coding Practices
Data Protection and Encryption
Identity and Access Management (IAM)
Cybersecurity Compliance and Ethics
And Many More...
Course Curriculum
Introduction to Python programming language
Setting up Python environment
Basic syntax and data types
– Variables and operators
Conditional statements (if, else, elif)
Loops (for, while)
Control flow statements (break, continue)
Exception handling
Defining and calling functions
Function arguments and return values
Scope and namespaces
Introduction to modules and importing
Lists, tuples, and sets
Dictionaries and their operations
List comprehensions
Introduction to numpy and pandas libraries
Classes and objects
Inheritance and polymorphism
Encapsulation and abstraction
Introduction to object-oriented design principles
Reading from and writing to files
File modes and file objects
Handling different file formats (text, CSV, JSON)
Understanding algorithm complexity
Searching and sorting algorithms
Recursion and dynamic programming
Overview of popular Python libraries (e.g., matplotlib, requests)
Web scraping with BeautifulSoup
Introduction to GUI programming with tkinter
Participants will work on a final project to apply their knowledge and skills acquired throughout the course.
Review of key concepts covered in the course
Q&A session
Course conclusion and next steps
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