PCAP™ - Python Developer Certification Training in Oman

Globally recognized training program

35 hours of Instructor-led training

11-course modules designed by industry experts

Flexible learning options for individual & groups

Prepare for the PCAP™ exam with confidence

4.9/5

6349 Enrolled

Overview

What our training includes

Prepares participants to pass the Certified Associate in Python Programming (PCAP™) exam
Develops hands-on programming skills through practical case studies and real-world applications
Provides in-depth knowledge of Python concepts, including data types, functions, and object-oriented programming
Equips learners with the tools to work with libraries like NumPy and Pandas for data manipulation
Guides participants to pursue roles as Python developers and programmers in the tech industry
Enhances career prospects with a certification recognized by leading global companies

Learning Objectives

After the course, you will be skilled in

Understand interpreting vs. compiling, lexis, syntax, semantics, and basic I/O operations

Master numeric and string operations, Boolean expressions, typecasting, and basic I/O

Learn to implement conditional statements, loops, and control flow structures like break and continue

Work with lists, tuples, and dictionaries, and gain skills in list comprehension and string manipulation

Handle parameters, recursion, define functions, manage scopes, and convert generators to lists

Utilize built-in modules and navigate module paths to enhance programming practices

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Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Related courses

Curriculum

Fundamental concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
- Literals: Boolean, integer, floating-point numbers, scientific notation, strings
- Comments
- The print() function
- The input() function
- Numeral systems (binary, octal, decimal, hexadecimal)
- Numeric operators: ** * / % // + –
- String operators: * +
- Assignments and shortcut operator

Objectives covered by the block (6 exam items)
- Operators: unary and binary, priorities and binding
- Bitwise operators: ~ & ^ | << >>
- Boolean operators: not and or
- Boolean expressions
- Relational operators ( == != > >= < <= ), building complex Boolean expressions
- Accuracy of floating-point numbers
- Basic input and output operations using the input(), print(), int(), float(), str(), len() functions
- Formatting print() output with end= and sep= arguments
- Typecasting
- Basic calculations
- Simple strings: constructing, assigning, indexing, immutability

Conditional statements: if, if-else, if-elif, if-elif-else
Multiple conditional statements
The pass instruction
Building loops: while, for, range(), in
Iterating through sequences
Expanding loops: while-else, for-else
Nesting loops and conditional statements
Controlling loop execution: break, continue

Simple lists: constructing vectors, indexing and slicing, the len() function
Lists in detail: indexing, slicing, basic methods (append(), insert(), index()) and functions (len(), sorted(), etc.), del instruction, iterating lists with the for loop, initialising, in and not in operators, list comprehension, copying and cloning
Lists in lists: matrices and cubes
Tuples: indexing, slicing, building, immutability
Tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
Dictionaries: building, indexing, adding and removing keys, iterating through dictionaries as well as their keys and values, checking key existence, keys(), items() and values() methods
Strings in detail: escaping using the \ character, quotes and apostrophes inside strings, multi-line strings, and basic string functions

Defining and invoking your own functions and generators
Return and Yield keywords
Returning results
None keyword
Recursion
Parameters vs. arguments
Positional keyword and mixed argument passing
Default parameter values
Converting generator objects into lists using the list() function
Name scopes, name hiding (shadowing), the global keyword

Import variants; advanced qualifying for nested modules
Dir(); sys. path variable
Math: ceil(), floor(), trunc(), factorial(), hypot(), sqrt(); random: random(), seed(), choice(), sample()
Platform: platform(), machine(), processor(), system(), version(), python_implementation(), python_version_tuple()
Idea, __pycache__, __name__, public variables, __init__.py
Searching for modules/packages; nested packages vs directory tree

Except, except:-except; except:-else:, except (e1,e2)
The hierarchy of exceptions
Raise, raise ex, assert
Event classes, except E as e, arg property
Self-defined exceptions, defining and using

ASCII, UNICODE, UTF-8, codepoints, escape sequences
Ord(), chr(), literals
Indexing, slicing, immutability
Iterating through,
Concatenating, multiplying, comparing (against strings and numbers)
In, not in
.isxxx(), .join(), .split()
.sort(), sorted(), .index(), .find(), .rfind()

Instance vs class variables: declaring, initialising
__dict__ property (objects vs classes)
Private components (instance vs classes)
Name mangling
Methods: declaring, using, self parameter
Introspection: hasattr() (objects vs classes), __name__, __module__, __bases__ properties
Inheritance: single, multiple, isinstance(), overriding, not is and is operators
Inheritance: single, multiple, isinstance(), overriding, not is and is operators
Constructors: declaring and invoking
Polymorphism
__name__, __module__, __bases__ properties, __str__() method
Multiple inheritance, diamonds

List comprehension: if operator, using list comprehensions
Lambdas: defining and using lambdas, self-defined functions taking lambda as arguments; map(), filter();
Closures: meaning, defining, and using closures
I/O Operations: I/O modes, predefined streams, handles; text/binary modes
open(), errno and its values; close()
.read(), .write(), .readline(); readlines() (along with byte array())

Defining your own classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
Class attributes: class variables and instance variables, defining, adding and removing attributes, explicit constructor invocation
Class methods: defining and using, the self-parameter meaning and usage
Inheritance and overriding, finding class/object components
Single inheritance vs. multiple inheritances
Name mangling
Invoking methods, passing and using the self argument/parameter
The __init__ method
The role of the __str__ method
Introspection: __dict__, __name__, __module__, __bases__ properties, examining class/object structure
Writing and using constructors
Hasattr(), type(), issubclass(), isinstance(), super() functions
Using predefined exceptions and defining your own ones
The try-except-else-finally block, the raise statement, the except-as variant
Exceptions hierarchy, assigning more than one exception to one except branch
Adding your own exceptions to an existing hierarchy
Assertions
The anatomy of an exception object
Input/output basics: opening files with the open() function, stream objects, binary vs. text files, newline character translation, reading and writing files, bytearray objects
Read(), readinto(), readline(), write(), close() methods

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Frequently asked questions

The PCAP™ - Python Developer Certification Training in Oman is all about teaching professionals Python programming. You learn about data types, strings, and collections. The program also covers advanced topics like object-oriented programming, libraries (NumPy, Pandas), and frameworks (Django, Flask). The course further prepares professionals for the PCAP Certification exam.

After Python Developer Certification Training in Oman, you can pursue roles like Data Scientist, Software Engineer, AI/ML Researcher, and DevOps Engineer, all of which are in high demand in Oman’s tech industry.

Our course is designed to keep you updated with the latest trends in Python programming, preparing you for roles in rapidly advancing fields like AI, cloud computing, and data science, which are growing sectors in Oman’s job market.

You will learn the basics of Python, control flow, data handling, functions, modules, exceptions, object-oriented programming, and more through practical exercises and case studies.

Our course combines in-depth theoretical knowledge with practical, real-world applications. We offer career guidance and personalized learning experiences.

Python forms the foundation of data science. The course introduces professionals to libraries like NumPy and Pandas that are widely used in handling and analysing data. This creates a good base to learn more about advanced topics like machine learning and artificial intelligence.