Python Programming Certification Overview

Python Programming Certification Course provide trainees with an in-depth understanding of the different concepts of Python programming concepts like Data Operations, File Operations, Object-Oriented concepts. This course also provides insights into various Python libraries such as Pandas, Numpy, Matplotlib and more. 

Python Programming Certification Key Features

100% Money Back Guarantee
  • Live Training 38 hours of Blended Learning
  • Live Training 30 hours of instructor-led training
  • Live Training 8 hours of online self-paced training
  • Live Training 20+ assisted practices on all modules
  • Live Training Industry-recognized course completion certificate
  • Live Training 5 lesson-end knowledge checks
  • Live Training 1 course-end project
  • Live Training No Exam Included

Skills Covered

  • web scraping
  • Object oriented programming
  • operators methods
  • Django, Indexing, Sets and Dictionaries
  • Conditional statements, Loops Functions and File handling
  • Errors and exceptions and shell scripting

Benefits

  • High demand in the market

  • Better career prospects  

  • Help developers build web applications 

  • Higher paycheck 

Training Package Options

Course Content

  • Python Programming Certification

    • Introduction to Python

        • Overview of Python
        • The Companies using Python
        • Other applications in which Python is used
        • Discuss Python Scripts on UNIX/Windows
        • Variables
        • Operands and Expressions
        • Conditional Statements
        • Loops
        • Command Line Arguments
        • Writing to the screen
    • Sequences and File Operations

        • Python files I/O 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

        • Functions
        • Function Parameters
        • Global variables
        • Variable scope and Returning Values
        • Lambda Functions
        • Object-Oriented Concepts
    • Working with Modules and Handling Exceptions

        • Standard Libraries
        • Modules Used in Python (OS, Sys, Date and Time etc.)
        • The Import statements
        • Module search path
        • Package installation ways
        • Errors and Exception Handling
        • Handling multiple exceptions
    • Introduction to NumPy & Pandas

        • NumPy - arrays
        • Operations on arrays
        • Indexing slicing and iterating
        • Reading and writing arrays on files
        • Pandas - data structures & index operations
        • Reading and Writing data from Excel/CSV formats into Pandas
    • Data visualisation

        • matplotlib library
        • Grids, axes, plots
        • Markers, colours, fonts and styling
        • Types of plots - bar graphs, pie charts, histograms
        • Contour plots
    • Data Manipulation

        • Basic Functionalities of a data object
        • Merging of Data objects
        • Concatenation of data objects
        • Types of Joins on data objects
        • Exploring a Dataset
        • Analyzing a dataset
        • GUI Programming
        • Ipywidgets package
        • Numeric Widgets
        • Boolean Widgets
        • Selection Widgets
        • String Widgets
        • Date Picker
        • Color Picker
        • Container Widgets
        • Creating a GUI Application
    • Self-paced Concept:

        • MySQL DB access
        • Network programming
        • Multithreading
    • Developing Web Maps and Representing information using Plots(Self Paced)

        • Use of Folium Library
        • Use of Pandas Library
        • Flowchart of Web Map application
        • Developing Web Map using Folium and Pandas
        • Reading information from Dataset and represent it using Plots
    • Computer vision using OpenCV and Visualisation using Bokeh(Self Paced)

        • Beautiful Soup Library
        • Requests Library
        • Scrap all hyperlinks from a webpage, using Beautiful Soup & Requests
        • Plotting charts using Bokeh Plotting scatterplots using Bokeh
        • Image Editing using OpenCV
        • Face detection using OpenCV
        • Motion Detection and Capturing Video