Python Programming Certification Course

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Mater python programming language with CertZip Python Programming Certification Course and learn the skills required to become a successful Python developer.

Course Description for Python Programming Certification Course

This course is designed to help you learn Python programming concepts such as Sequences and File Operations, Deep Dive Functions, OOPs, Modules and Handling Exceptions, NumPy, Pandas, Matplotlib, GUI Programming, Developing Web Maps, Data Operations and more.

Python is a computer programming language used to create websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to develop various programs and isn't specialized for any specific problems.

Programmers, Developers, Technical Leads, Architects, Freshers Data Scientists, Data Analysts Statisticians and Analysts Business Analysts Project Managers Business Intelligence Managers

Basic understanding of Computer Programming

Python is one of the most popular and widely used programming languages globally. Python is used for data analytics, machine learning, and even design, except for web and software development.

Python is a high-level, general-purpose programming language. Its language constructs and object-oriented method aim to help programmers write clear, logical code for small- and large-scale projects.

That's because the language stresses readability and makes coding very simple. Python is also the fastest-growing programming language globally, and its high-level, interpreted, and object-oriented architecture makes it excellent for all types of software solutions.

What you'll learn in Python Programming Certification Course

In this course, you will learn: Sequences and File Operations Deep Dive Functions OOPs Modules and Handling Exceptions NumPy

Requirements of Python Programming Certification Course

No, the need for taking this course.

Curriculam of Python Programming Certification Course

learn basic concepts of Python.

Need for Programming

Advantages of Programming

Overview of Python

Organizations using Python

Python Applications in Various Domains

Python Installation

Variables

Operands and Expressions

Conditional Statements

Loops

Command Line Arguments

Creating the "Hello World" code

Numbers in Python

Demonstrating Conditional Statements

Demonstrating Loops

learn different types of sequence structures and execute sequence operations.

Way of Taking User Input and eval Function

Python - Files Input/Output Functions

Lists and Related Operations

Tuples and Related Operations

Strings and Related Operations

Sets and Related Operations

Dictionaries and Related Operations

File Handling

Tuple

List

Dictionary

Set

String

know various Functions and object-oriented concepts such as Abstraction, Inheritance, Polymorphism, Overloading, etc.

User-Defined Functions

Concept of Return Statement

Concept of __name__=” __main__”

Function Parameters

Different Types of Arguments

Global Variables

Global Keyword

Variable Scope and Returning Values

Lambda Functions

Various Built-In Functions

Introduction to Object-Oriented Concepts

Built-In Class Attributes

Public, Protected and Private Attributes, and Methods

Class Variable and Instance Variable

Constructor and Destructor

Decorator in Python

Core Object-Oriented Principles

Inheritance and Its Types

Method Resolution Order

Overloading

Overriding

Getter and Setter Methods

Inheritance-In-Class Case Study

Functions

Lambda

Built-In Functions

Inheritance Case Study

Discover how to create generic python scripts, address errors/exceptions in code, and extract/filter content using regex.

Standard Libraries

Packages and Import Statements

Reload Function

Important Modules in Python

Sys Module

Os Module

Math Module

Date-Time Module

Random Module

JSON Module

Regular Expression

Exception Handling

Packages and Modules

Regular Expressions

Errors and Exceptions

Know basics of Data Analysis using two essential libraries: NumPy and Pandas, the concept of file handling using the NumPy library.

Basics of Data Analysis

NumPy - Arrays

Operations on Arrays

Indexing Slicing and Iterating

NumPy Array Attributes

Matrix Product

NumPy Functions

Array Manipulation

File Handling Using NumPy

Matrix Product and Aggregate Functions using Numpy

Array Creation and Logic Functions

File Handling Using Numpy

Know about analyzing datasets and data manipulation using Pandas.

Introduction to pandas

Data structures in pandas

Series

Data Frames

Importing and Exporting Files in Python

Basic Functionalities of a Data Object

Merging of Data Objects

Concatenation of Data Objects

Types of Joins on Data Objects

Data Cleaning using pandas

Exploring Datasets

Functionality of Series

The Functionality of Data Frame

Combining Data from Dataset

Cleaning Data'

learn Data Visualization using Matplotlib.

Why Data Visualization?

Matplotlib Library

Line Plots

Multiline Plots

Bar Plot

Histogram

Pie Chart

Scatter Plot

Boxplot

Saving Charts

Customizing Visualizations

Saving Plots

Grids

Subplots

Plotting Different Types of Charts

Customizing Visualizations Using Matplotlib

Customizing Visualizations and Subplots

learn GUI programming using the ipywidgets package.

Ipywidgets Package

Numeric Widgets

Boolean Widgets

Selection Widgets

String Widgets

Date Picker

Color Picker

Container Widgets

Creating a GUI Application

Creating GUI Elements

Creating an application containing GUI elements

learn to design Python Applications.

Use of Pandas Library

Flow Chart of Web Map Application

Developing Web Map Using Folium and Pandas

Reading Information from Titanic Dataset and Expressing It Using Plots

understand to create Python Applications.

Beautiful Soup Library

Requests Library

Scrap All Hyperlinks from a Webpage Operating Beautiful Soup and Requests

Plotting Charts Using Bokeh

Plotting Scatterplots Using Bokeh

Image Editing Using OpenCV

Face Detection Using OpenCV

Motion Detection and Capturing Video

FAQ for Python Programming Certification Course

On average, a python developer earns $78,176 annually.

To better understand Python programming, one must learn as per the curriculum.

Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic.

Python has been ranked as the most in-demand coding language for 2022 by CodingNomads, which analyzed thousands of job postings in the US and Europe.

CertZip Support Unit is available 24/7 to help with your queries during and after completing Python Programming Certification Course.

You will receive CertZip Python Programming Certification Course on completing live online instructor-led classes. After completing the Python Programming Certification Course module, you will receive the certificate.