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Module 1: Introduction to Python

Module 2Basic Python Syntax and Data Types

Module 3: Control Flow and Looping

Module 4: Functions and Modules

Module 5: Data Structures in Python

Module 6: Object-Oriented Programming (OOP)

Module 7: File Handling and Input/Output

Module 8: Python Standard Library

Module 9Web Development with Python

Module 10: Advanced Python Topics

Prerequisites

1. No prior programming experience required; suitable for beginners.

2. Basic familiarity with computers and software applications.

3. Eagerness to learn and explore programming concepts.

What You Will Learn

1. Fundamental and advanced Python programming concepts

2. How to write clean and efficient Python code

3. Data manipulation and visualization techniques

4. Web development using Python frameworks

5. Object-oriented programming principles

6. Error handling and debugging skills

Who Should Attend

1. Beginners with no prior programming experience

2. Experienced developers looking to learn Python

3. Data analysts and scientists

4. Web developers

5. IT professionals seeking to automate tasks

Target Audience

1. Beginners and enthusiasts aiming to learn Python programming from scratch.

2. Students pursuing a career in software development, data science, or web development.

3. Professionals seeking to enhance their programming skills with Python.

4. Anyone interested in leveraging Python for automation and scripting tasks.

Exam Overview

Exam Name: Python Programming Certification Exam (if applicable)

Format: Multiple-choice questions, coding exercises

Number of Questions: Varies

Time Allotted: Varies

Passing Score: Varies

Exam Fee: Varies

Retake Fee: Varies

Prerequisites: Completion of Python Programming Training or equivalent knowledge


Course description

Python is immensely popular and among the most sought-after programming languages globally due to its universal application. Whether in Data Science, Big Data, coding, or app development, Python finds extensive use across various domains. Its versatility has attracted a large number of students eager to learn and master Python programming skills.

Digitalearn To Inspire

OverviewWelcome to Digitalearn, the premier destination for online professional training. Our mission is to empower individuals and organizations with the skills they need to succeed in today’s competitive job market. We offer a wide range of courses designed to meet the needs of professionals at all levels, from beginners to advanced practitioners. Our comprehensive training programs allow you to gain the knowledge and certifications required to excel in your career.Experienced TrainerOur trainers are industry experts with a wealth of experience. With an average of over 10 years in their respective fields, they bring practical, real-world insights into the classroom. They are knowledgeable and passionate about teaching, ensuring that each student receives the best possible learning experience.Certified TrainersAt Digitalearn, we pride ourselves on the quality of our instructors. Their certifications validate their expertise and commitment to staying current with industry trends and practices. Proven SuccessWe have a proven track record of delivering high-quality training to over 2,000 students. Our alumni have gone on to achieve significant success in their careers, and many of them attribute their achievements to the skills and knowledge gained through our programs. 
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Frequently asked question

Python programming training teaches participants how to write Python code effectively, covering basic syntax, data structures, object-oriented programming, and more advanced topics.

Participants will learn Python fundamentals, including variables, data types, control flow, functions, modules, file handling, and commonly used libraries for tasks like data analysis, web development, and automation.

No prior programming experience is necessary, although familiarity with basic computer operations and logic can be helpful.

By the end of the training, participants should be proficient in writing Python scripts, understanding fundamental programming concepts, and applying Python for various practical applications.

Yes, Python is widely used in data science for tasks such as data manipulation, analysis, machine learning, and visualization. Python programming training can provide a solid foundation for a career in data science.

Yes, Python's readability and simplicity make it accessible even to those without a technical background, making Python programming training a good starting point for learning programming.

Yes, Python programming training often emphasizes best practices in coding, including style guidelines (like PEP 8), code organization, and documentation practices.

Yes, Python is in high demand across various industries for roles such as software developer, data analyst, data scientist, web developer, and more, making Python programming training a valuable asset for career advancement.

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