Practice Exam, Video Course
Certificate in Python Programming

Certificate in Python Programming

4.6 (215 ratings)
288 Learners
Take Free Test

Certificate in Python Programming

Python is a general-purpose, high-level programming language known for its readability, ease of use, and versatility. It's widely used in various fields like web development, data science, machine learning, and automation scripting.

Basic Skills Required for a Python Programming Exam:

The specific skills tested will vary depending on the exam, but some common areas include:

  • Understanding core Python syntax elements like variables, data types, operators, control flow statements (if/else, loops), and functions.
  • Familiarity with basic data structures like lists, tuples, dictionaries, and sets.
  • Fundamental knowledge of OOP concepts like classes, objects, inheritance, polymorphism, and encapsulation.
  • Ability to read from and write to files, as well as import and utilize modules/libraries to extend functionality.
  • Demonstrating the ability to approach problems algorithmically, break them down into smaller steps, and implement solutions using Python code.

 

Who Should Take a Python Programming Exam?

  • Individuals Learning Python
  • University/College Students
  • Job Seekers
  • Those looking for Certification

 

Course Outline 

The exam covers the given topics  - 

  • Topic 1: Python Fundamentals
  • Topic 2: Data Structures
  • Topic 3: Object-Oriented Programming (OOP) Concepts
  • Topic 4: Working with Files and Modules
  • Topic 5: Problem-Solving and Algorithmic Thinking:
  • Topic 6: Error Handling (try/except blocks)
  • Topic 7: Exception Handling
  • Topic 8: Regular Expressions (for text manipulation)
  • Topic 9: Iterators and Generators (advanced data structures)
  • Topic 10: Object-Oriented Design Principles
  • Topic 11: Unit Testing Concepts

Key Features

Accredited Certificate

Industry-endorsed certificates to strengthen your career profile.

Instant Access

Start learning immediately with digital materials, no delays.

Unlimited Retakes

Practice until you’re fully confident, at no additional charge.

Self-Paced Learning

Study anytime, anywhere, on laptop, tablet, or smartphone.

Expert-Curated Content

Courses and practice exams developed by qualified professionals.

24/7 Support

Support available round the clock whenever you need help.

Interactive & Engaging

Easy-to-follow content with practice exams and assessments.

Over 1.5M+ Learners Worldwide

Join a global community of professionals advancing their skills.

How learners rated this courses

4.6

(Based on 215 reviews)

63%
38%
0%
0%
0%

Reviews

Certificate in Python Programming FAQs

Python is the most popular and high-level programming language. It is widely used by all the programmers in different fields due to its better features than some other languages like the C++, Java, and many more. Moreover, Python is known as the key feature of Data Science and is the first choice by Data Scientists. This language is capable of analysing businesses and building AI tools. Data Science being the fastest growing sector in computational and statistical analysis. Therefore, Python has proven to be the best language to solve difficult problems by providing and creating solutions and meet challenges efficiently.

  • Introduction to Python
  • Python Fundamentals
  • Object-Oriented Programming with Python
  • Errors in Python
  • Files in Python
  • Databases in Python and Milestone Project 2
  • Type Hinting in Python
  • Advanced Built-in Functions in Python
  • Advanced Python Development
  • Web Scraping with Python
  • Browser Automation with Selenium
  • Web Development with Flask
  • Interacting with APIs with Python
  • Decorators in Python
  • Advanced Object-Oriented Programming
  • Graphical User Interface (GUI) Development with Tkinter
  • Unit Testing with Python
  • Algorithms and Data Structures
  • Python Libraries

Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.

  • Expertise In Core Python.
  • Object Relational Mappers.
  • Data Science.
  • Machine Learning and AI.
  • Deep Learning.
  • Understanding of Multi-Process Architecture.
  • Analytical skills.

  • Data Science
  • Web Developer
  • Data Analytics
  • Data Visualisation
  • AI Technology