The Python Programming Certification Course equips learners with essential knowledge to build applications, automate tasks, and analyze data using Python. Ideal for aspiring developers, data analysts, software engineers, and IT professionals, this course lays a strong foundation in Python programming and its real-world applications. Completing this certification enhances your profile in software development, scripting, and data analysis domains.

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Instructor led live online Classes

Python Programming Certification Course

Instructor led live online Training (Weekday/Weekend)

Why Enroll in the Python Programming Certification Course?

Beginner-Friendly: Learn Python from scratch—no prior programming experience needed.
Career Opportunities: Python is in high demand across web development, data science, and automation.
Hands-On Learning: Work on real-world projects, scripting tasks, and basic data applications.
Comprehensive Curriculum: Covers everything from Python syntax to object-oriented programming and libraries.
Recognized Certification: Boost your resume with a professional Python programming certificate.

Course Description

This course validates your skills in writing Python scripts, developing programs, and using Python for automation and basic data tasks.

1. Beginners who want to start a career in programming. 2. Developers looking to add Python to their toolkit. 3. Data Enthusiasts and analysts needing scripting skills. 4. IT Professionals aiming to automate repetitive tasks.

1. Provides hands-on coding exercises and projects. 2. Includes certification-focused quizzes and assessments. 3. 24/7 technical support and expert guidance.

What you'll learn

Python Fundamentals: Variables, data types, loops, and functions.

Object-Oriented Programming: Classes, inheritance, and encapsulation.

File Handling and Exception Management.

Python Standard Libraries: OS, math, datetime, and more.

Intro to Data Analysis: Working with lists, dictionaries, and external libraries.

Project Work: Build a complete application or automation project.

Requirements

Basic Computer Knowledge.
No Prior Programming Required.

Curriculum Designed by Experts

Need for programming
Advantages of programming
Overview of python
Organizations using python
Python Applications in various domains
Variables
Operands and expressions
Conditional statements
Loops
Structural pattern matching

Creating the “hello world” code
Numbers in python
Demonstrating conditional statements
Demonstrating loops

Accepting user input and eval function
Files input/output functions
Lists
Tuples
Strings manipulation
Sets and set operations
Python dictionary

File handling
Creating tuple, list
Creating dictionary
Working with sets
Working with strings

User-defined functions
Function parameters
Different types of arguments
Global variables
Global keyword
Lambda functions
Built-in functions
Object-oriented concepts
Public, protected and private attributes
Class variable and instance variable
Constructor and destructor
Inheritance and its types
Method resolution order
Overloading and overriding
Getter and setter methods

Working with functions
Creating lambda functions
Using built-In functions
Implementing object-oriented concepts
Inheritance case study

Standard libraries
Packages and import statements
Reload function
Creating a module
Important modules in python
Sys module
OS module
Math module
Date-time module
Random module
JSON module
Regular expression
Exception handling

Working with packages and modules
Creating regular expressions
Handling errors and exceptions

Basics of data analysis
NumPy - Arrays
Array operations
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

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
Pivoting a dataframe
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
Data cleaning

Why data visualization?
Matplotlib library
Seaborn
Line plots
Multiline plots
Bar plot
Histogram
Pie chart
Scatter plot
Boxplot
Saving charts
Customizing visualizations
Saving plots
Grids
Subplots
Heatmaps

Plotting different types of charts
Customizing visualizations using Matplotlib
Customizing visualizations and subplots

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

Use of Folium library
Use of Pandas library
Flow Chart of web map application
Developing web map using Folium and Pandas
Reading Information from titanic dataset and represent It using plots

Creating web map

Beautiful Soup library
Scrapy
Requests library
Scrap All hyperlinks from a webpage using 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

Face detection
Web scraping
Motion detection

Basics of database management
Python MySql
Create database
Create a table
Insert into table
Select query
Where clause
OrderBy clause
Delete query
Drop table
Update query
Limit clause
Join and Self-Join
MongoDB (Unstructured)
Insert_one query
Insert_many query
Update_one query
Update_many query
Create_index query
Drop_index query
Delete and drop collections
Limit query

CRUD operations using Python MySql and MongoDB

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Python Programming Certification Course

Read Review

Instructor led live online Classes

Python Programming Certification Course