QAR 2,500 QAR 2,000


Our Python Programming Course is designed to provide you with a comprehensive foundation in Python, equipping you with the skills needed to develop powerful and efficient applications. Whether you're a beginner or have some coding experience, this course will take you from the fundamentals to advanced concepts, making you proficient in Python programming.

We assure you 100% quality in preparing you for Python Programming exam. Our outstanding quality in training makes you stand out as highly skilled.

If you are really interested in developing your career in Python then join the Python programming Professional course offered by Team Academy, Doha, Qatar.

Course duration : 30 Hours | Required study hours: 30 to 40 hours.

Training Mode : Online live interactive – Instructor led training program

Frequency : Flexi pass to attend for the next 120 days in any of the schedule.

Includes : Mock Exams | Certificates | Exam Application Assistance

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Our Stats : 150 + Batches Completed | 1500 + Certified professional

    • Personalized 1 to 1 Interactive Program – 99 $ / Hour
    • Classroom training - Online Interactive with the batch size of 15 to 20 People

    No Prior Programming Experience Required
    Basic Computer Skills
    Suitable for All Backgrounds
    Open to Students and Professionals


    Promote professional standards and improve the practice of quality.
    Give special recognition to those professionals who demonstrate an acquired body of knowledge and expertise in the field through successful completion of the examination process.
    Identify acceptable knowledge of the principles and practice of healthcare quality for employers, the public, and members of allied professions.
    Focus on IT compliance and the integrity of enterprise systems to establish a more secure enterprise IT framework.

    Module 1: Introduction to Python
    1.1 Overview of Python and its features
    1.2 Installing Python and setting up the development environment
    1.3 Python syntax and basic program structure
    1.4 Variables, data types, and operators in Python
    Module 2: Control Flow and Loops
    2.1 Conditional statements: if, else, elif
    2.2 Looping structures: for loop, while loop
    2.3 Iteration and control flow statements: break, continue
    2.4 Understanding the flow of program execution
    Module 3: Functions and Modules
    3.1 Creating and calling functions
    3.2 Function parameters and return values
    3.3 Scope of variables in functions
    3.4 Introduction to modules and importing modules in Python
    Module 4: Data Structures
    4.1 Lists, tuples, and dictionaries
    4.2 Accessing and manipulating elements in data structures
    4.3 List comprehensions and dictionary comprehensions
    4.4 Working with sets and advanced data structures
    Module 5: File Handling
    5.1 Reading and writing files in Python
    5.2 Handling file objects and file modes
    5.3 Processing text and CSV files
    5.4 Exception handling and error management
    Module 6: Object-Oriented Programming (OOP)
    6.1 Introduction to OOP concepts
    6.2 Creating classes and objects
    6.3 Class attributes and instance attributes
    6.4 Inheritance and polymorphism
    Module 7: Modules and Packages
    7.1 Organizing code into modules and packages
    7.2 Creating and importing custom modules
    7.3 Exploring popular Python libraries and packages
    7.4 Using external libraries to enhance program functionality
    Module 8: Working with APIs and Web Services
    8.1 Understanding APIs and web services
    8.2 Making HTTP requests using Python
    8.3 Parsing JSON and XML responses
    8.4 Building API clients and integrating with web services
    Module 9: Introduction to Database Integration
    9.1 Connecting to databases using Python
    9.2 Executing SQL queries and retrieving results
    9.3 Performing CRUD operations with Python and databases
    9.4 Database management and error handling
    Module 10: Introduction to Web Development with Django
    10.1 Overview of web development concepts
    10.2 Introduction to Django framework
    10.3 Creating a basic web application using Django
    10.4 Handling HTTP requests and rendering responses
    Module 11: Introduction to Data Analysis with Pandas
    11.1 Introduction to data analysis and manipulation
    11.2 Installing and importing Pandas library
    11.3 Working with DataFrames and Series
    11.4 Data cleaning, filtering, and transformation
    Module 12: Introduction to Machine Learning with scikit-learn
    12.1 Overview of machine learning concepts
    12.2 Installing and importing scikit-learn library
    12.3 Supervised and unsupervised learning algorithms
    12.4 Building and evaluating machine learning models
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    Python Programming

    QAR 2,500 QAR 2,000