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

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

Requirements

  • No, the need for taking this course.

Curriculam

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
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

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.

By enrolling in the Python Programming Certification Course and completing the module, you can get CertZip Python Programming Certification.

Yes, Access to the course material will be available for a lifetime once you have enrolled in the CertZip Python Programming Certification Course.

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Training Course Features

Assessments
Assessments

Every certification training session is followed by a quiz to assess your course learning.

Mock Tests
Mock Tests

The Mock Tests Are Arranged To Help You Prepare For The Certification Examination.

Lifetime Access
Lifetime Access

A lifetime access to LMS is provided where presentations, quizzes, installation guides & class recordings are available.

24x7 Expert Support
24x7 Expert Support

A 24x7 online support team is available to resolve all your technical queries, through a ticket-based tracking system.

Forum
Forum

For our learners, we have a community forum that further facilitates learning through peer interaction and knowledge sharing.

Certification
Certification

Successfully complete your final course project and CertZip will provide you with a completion certification.

Python Programming Certification Course

A Python Programming Course is a certification that verifies that the holder has the knowledge and skills required to work with Python Programming.

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