Cloudruha's Python Programming Certification Course will help you master important Python programming concepts such as Data Operations, File Operations, Object-Oriented concepts, and various Python libraries such as Pandas, Numpy, Matplotlib and many more. You will learn Data Visualization and techniques to deal with different types of data – ordinal, categorical, encoding. This course makes you industry-ready by working on real-life case-studies and equipping you with relevant concepts.

Introduction to Python

Topics:

• 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

Sequences and File Operations

Topics:

• Method of Accepting 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

Deep Dive – Functions and OOPs

Topics:

• 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

Working with Modules and Handling Exceptions

Topics:

• 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

Introduction to NumPy

Topics:

• Basics of Data Analysis

• NumPy - Arrays

• Operations on Arrays

• Indexing Slicing and Iterating

• NumPy Array Attributes

• Matrix Product

• NumPy Functions

• Functions

• Array Manipulation

• File Handling Using NumPy

• Exception Handling

Data Manipulation using pandas

Topics:

• 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

Data Visualization using Matplotlib

Topics:

• 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

GUI Programming

Topics:

• Ipywidgets Package

• Numeric Widgets

• Boolean Widgets

• Selection Widgets

• String Widgets

• Date Picker

• Color Picker

• Container Widgets

• Creating a GUI Application

Developing Web Maps and Representing Information using Plots (Self-paced)

Topics:

• 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

Computer Vision using OpenCV and Visualization using Bokeh (Self-paced)

Topics:

• Beautiful Soup Library

• 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

Project