Launch your career in Python by developing in-demand skills and become job-ready in 30 hours or less.
Highlights
Upgrade your career with top notch training
- Enhance Your Skills: Gain invaluable training that prepares you for success.
- Instructor-Led Training: Engage in interactive sessions that include hands-on exercises for practical experience.
- Flexible Online Format: Participate in the course from the comfort of your home or office.
- Accessible Learning Platform: Access course content on any device through our Learning Management System (LMS).
- Flexible Schedule: Enjoy a schedule that accommodates your personal and professional commitments.
- Job Assistance: Benefit from comprehensive support, including resume preparation and mock interviews to help you secure a position in the industry.
Outcomes
By the end of this course, participants will be equipped with:
- Fundamental Python Skills: Participants will gain a solid understanding of the basic concepts of Python programming, including variables, data types, conditional statements, loops, and functions.
- Object-Oriented Programming (OOP): Learners will understand object-oriented programming principles, including classes, objects, inheritance, and polymorphism in Python, enabling them to design reusable code.
- Data Structures Proficiency: Participants will learn how to use and manipulate various built-in data structures in Python, such as lists, sets, dictionaries, and tuples, to store and manage data efficiently.
- File Handling: Courses will cover reading and writing operations with files, enabling students to work with external data sources and manage data persistence in their Python applications.
- Understanding of Python Libraries: Trainees will gain familiarity with popular Python libraries and frameworks, such as NumPy and pandas, that enhance their programming capabilities and enable data manipulation and analysis.
- Debugging and Testing Skills: Participants will learn debugging techniques and best practices for testing their code, which will improve their ability to identify and fix errors in their Python programs.
- Preparation for Certification Exam: Upon completion of the training, participants will be prepared to take the Python Certified Associate in Programming (PCAP) certification exam, demonstrating their proficiency to potential employers.
- Job-Ready Skills: Participants can expect to leave the course with resume-ready skills, suitable for entry-level programming or technical positions.
About
The Python Certified Associate Programmer (PCAP) course is designed for aspiring programmers and professionals looking to enhance their Python skills.
Throughout this course, you will explore the core concepts of Python programming, including data types, control structures, functions, and object-oriented programming principles. Our engaging curriculum combines theoretical knowledge with practical applications, allowing you to solve real-world problems and develop your coding abilities.
You will engage in hands-on projects that reinforce your learning and contribute to your portfolio. Moreover, this course prepares you for the PCAP certification exam, equipping you with the knowledge and confidence needed to validate your programming expertise.
Join us in this exciting journey to become a certified Python programmer, and take your first step toward a rewarding career in technology!
Key Learnings
- Gain a comprehensive understanding of Python syntax, data types, variables, and basic programming constructs to build a strong foundation in programming.
- Learn how to manage the execution of code using control flow statements.
- Understand how to define and call functions, utilize parameters, return values, and create reusable code by organizing it into modules.
- Develop skills to manage exceptions and errors gracefully.
- Become familiar with popular Python libraries, such as NumPy and pandas.
- Acquire debugging strategies to identify and fix issues in your code.
- Prepare for the Python Certified Associate exam by mastering the topics covered in the PCAP syllabus, which will help you confirm your programming proficiency to potential employers.
Pre-requisites
- Basic Computer Skills: Participants should be comfortable using a computer, navigating file systems, and utilizing basic software applications.
- Familiarity with Programming Concepts: A general understanding of programming concepts such as variables, data types, control structures (if statements, loops), and functions is beneficial.
Job roles and career paths
This training will equip you for the following job roles and career paths:
- Python Developer
- Software Engineer
- Data Analyst
- Web Developer
- Quality Assurance (QA) Engineer
Python Certified Associate Programmer (PCAP)
The demand for Python Certified Associate in Programming (PCAP) is strong, as it demonstrates advanced proficiency in Python programming. Companies seek PCAP-certified professionals for roles in software development, data analysis, and automation. This certification is valued for validating skills in coding, problem-solving, and software design, making it attractive to employers across technology, finance, and data-driven industries.
Topics of Course
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Overview of Python programming language
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Installation and setup of Python environment
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Writing and running Python scripts
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Understanding the Python interpreter and execution model
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Data types (integers, floats, strings, booleans)
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Variables and constants
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Operators (arithmetic, relational, logical)
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Input and output functions
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Conditional statements (if, elif, else)
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Loops (for loops, while loops)
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Break and continue statements
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List comprehensions
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Defining and calling functions
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Function parameters and return values
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Scope of variables (local vs. global)
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Anonymous functions (lambda)
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Built-in functions and standard libraries
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Lists, tuples, sets, and dictionaries
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Manipulating and iterating through data structures
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Understanding and using list methods
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Data structure comprehension
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Introduction to OOP concepts
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Defining classes and creating objects
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Attributes and methods
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Inheritance and polymorphism
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Encapsulation and data hiding
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Reading from and writing to files
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Working with file objects
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Exception handling for file operations
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Using with statement for file operations
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Understanding exceptions and error handling
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Using try, except, finally
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Raising exceptions
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Creating custom exceptions
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Introduction to the Python Standard Library
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Overview of popular libraries (NumPy, pandas, Matplotlib)
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How to install and use third-party libraries with pip
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Understanding the importance of code testing
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Writing test cases and using the unittest framework
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Debugging techniques and tools
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Using print statements and logging for debugging
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Overview of the PCAP certification exam structure and requirements
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Review of key topics covered in the curriculum
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Sample questions and practice exams
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Tips for effective exam preparation and time management