Python Certification Exam Preperation - Chapter Wise (2023) – Free Udemy Course
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$19.99Free

Python Certification Exam Preperation - Chapter Wise (2023)

Course Overview

CategoryDevelopment
DurationSelf-paced
InstructorIndependent Udemy instructor
LanguageEnglish
Rating4.5 / 5
PriceFree (was $19.99)

What You'll Learn

  • What is Python?
  • History of Python
  • Features of Python
  • Advantages of using Python
  • Setting up the Python environment
  • Running a Python program

About This Free Course

Now is the time to get certified for Python!

This course is designed to help you prepare for the Python free pmp project management professional certification exam course by providing you with a series of chapter-wise practice tests.

This Exams= contains 20 Chapters to give you the best thrilling experience on the Complete Python Programming Exam Tests!


Every Question has complete explanation.

All Questions are carried from the best programming institutes and all the knowledgeable areas.

No matter you are a student or a professional programmer, this exam is well designed for everyone from the experts.


Exam Syllabus (Chapter Wise):

Chapter 1: Introduction to Python

  • What is Python?

  • History of Python

  • Features of Python

  • Advantages of using Python

  • Setting up the Python environment

  • Running a Python program

  • Chapter 2: Variables, Data Types and Operators

    • Variables and Naming Conventions

  • Data Types: Numbers, Strings, Booleans

  • Type Conversion and Type Checking

  • Operators: Arithmetic, Assignment, Comparison, Logical, Bitwise

  • Chapter 3: Control Statements

    • Conditional Statements: if, else, elif

  • Looping Statements: for loop, while loop

  • Loop Control Statements: break, continue, pass

  • Nested loops and conditional statements

  • Chapter 4: Functions and Modules

    • Defining and calling a function

  • Function Arguments: Positional, Keyword, Default and Variable-length arguments

  • Returning values from a function

  • Modules: Creating and importing modules

  • Standard Libraries

  • Chapter 5: Object-Oriented Programming (OOP) concepts

    • Classes and Objects

  • Data Hiding and Encapsulation

  • Inheritance and Polymorphism

  • Abstract classes and Interfaces

  • Chapter 6: File Handling and Input/Output Operations

    • Opening and Closing Files

  • Reading and Writing to Files

  • Binary Files and File Modes

  • Working with Directories

  • Chapter 7: Exception Handling

    • What are exceptions?

  • Handling exceptions using try and except blocks

  • Multiple except blocks and else clause

  • Raising exceptions

  • Chapter 8: Regular Expressions

    • What are regular expressions?

  • Pattern matching and substitution

  • Meta-characters and Character Classes

  • Regular Expression functions in Python

  • Chapter 9: Working with Databases and SQL

    • Connecting to a database

  • Creating tables and inserting data

  • Retrieving data from tables

  • Updating and Deleting data

  • SQL Injection and Prevention

  • Chapter 10: Data Structures

    • Lists

  • Tuples

  • Dictionaries

  • Sets

  • Arrays

  • Chapter 11: NumPy and SciPy Libraries

    • Introduction to NumPy and SciPy

  • Arrays in NumPy

  • Mathematical Operations on Arrays

  • Linear Algebra using SciPy

  • Chapter 12: Pandas Library

    • Introduction to Pandas

  • Data Structures in Pandas

  • Data Manipulation using Pandas

  • Data Analysis using Pandas

  • Chapter 13: Matplotlib Library

    • Introduction to Matplotlib

  • Types of Plots: Line, Bar, Scatter, Histogram, etc.

  • Customizing Plots

  • Subplots and Figures

  • Chapter 14: Flask Web Framework

    • Introduction to Flask

  • Creating a Flask Application

  • Routing and Requests

  • Templates and Forms

  • Chapter 15: Django Web Framework

    • Introduction to Django

  • Creating a Django Application

  • Models, Views, and Templates

  • Admin Interface

  • Chapter 16: Machine Learning and Data Science with Python

    • Introduction to Machine Learning

  • Scikit-Learn Library

  • Linear Regression

  • Classification

  • Clustering

    • Introduction to NLP

  • Text Preprocessing

  • Text Classification and Sentiment Analysis

  • Named Entity Recognition

  • Chapter 18: GUI Programming with Tkinter Library

    • Introduction to Tkinter

  • Creating a GUI Application

  • Widgets and Layouts

  • Event Handling

  • Chapter 19: Advanced Python Concepts

    • Multithreading and Concurrency

  • Networking

  • GUI Toolkits: PyQt, Kivy, etc.

  • Debugging and Profiling

  • Note: This exam Covers all the topics on Complete Python Programming from Scratch!

    What are you waiting for? Join now and get Certified!

    Who Should Take This Course

    "Python Certification Exam Preperation - Chapter Wise (2023)" is aimed at people who want a practical, structured introduction to development without paying full price for it. It's a solid fit if you're starting out in development and want a guided course rather than piecing tutorials together yourself, if you've tried free YouTube content on the topic and want something more organized, or if you already work in a related area and want a refresher you can finish at your own pace. Since enrollment happens on Udemy itself, you keep full access to view the lectures, download any provided resources, and revisit the material later — this isn't a stripped-down or time-limited version of the course.

    Why This Course Is Worth Taking

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    Pros & Cons

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    • Lifetime access on Udemy once enrolled, even after the coupon expires
    • Rated 4.5/5 by past students on Udemy
    • Self-paced — no fixed schedule or live sessions to attend

    👎 Cons

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    • No live instructor support — questions go through Udemy's Q&A, not us
    • Certificate is a Udemy completion certificate, not an accredited qualification

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