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Python Certification Course

Comprehensive Python Training Course will teach you the  basics of Python, data operations, conditional statements, shell  scripting, Flask, Data Analysis. This Python certification course in Visakhapatnam will give you  hands-on development experience and prepare you for an exciting career  as a developer

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Python Certification Course in Visakhapatnam Highlights

Features

Skills Covered

Skills Covered

In this Python Certification Course, Visakhapatnam, you will learn

  • 20+ assisted practices on all modules
  • Industry-recognized course completion certificate
  •  5 lesson-end knowledge checks and 5 real-life course-end project 

Skills Covered

Skills Covered

Skills Covered

Python basic and Advanced programming, Data Analysis using Numpy and Pandas,Data Visualization using matplotlib and seaborn, website development, Web scrappin and GUI tools

Eligibility

Skills Covered

Eligibility

 Anyone interested in learning Python for software development or data  science job roles will benefit from this Python Certification Course in Visakhapatnam. This  course also is well-suited for Software developers 

Python certification Benefits

Python No.1 Programming Language in Top Programming Languages 2022

Top Programming Languages 2022 - IEEE Spectrum

The StackOverflow’s developer survey of 2019 states that Python is the second most loved programming language in the  world. Also, it is the most sought after programming language for Data  Scientists, AI engineers, and Machine Learning engineers. Python  developers earn around $115,000 per annum. 

Training Options

Class Room Training in Vizag

Class Room Training in Vizag

Class Room Training in Vizag

  • Python Certification Course in Vizag with placement assistance  
  • Real time expert trainers
  • Real-time project based learning 
  • Industry oriented training with corporate case studies
  • Python course completion certificate 


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Online (Live) Training

Class Room Training in Vizag

Class Room Training in Vizag

  • Live (Online) interactive sessions though zoom
  • Real time expert trainers
  • Real-time project based learning 
  • Industry oriented training with corporate case studies
  • Python course completion certificate 


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Python certification TraiNING course syllabus

Module-1: Introduction to Python

Module-3: Python Program Flow Control

Module-1: Introduction to Python

  • Need for Python Programming
  • Advantages of Programming
  • Overview of Python 
  • Organizations using Python 
  • Python Applications
  • Python, Jupyter installation 
  • Learn to use Jupyter Note Book
  • Variables, Operands and Expressions 

Module-2: Python Data Types

Module-3: Python Program Flow Control

Module-1: Introduction to Python

  • Declaring and using Numeric data types
  • Using string data type and string operations 
  • Defining list and list slicing
  • Use of Tuple data type
  • Tuple - Properties, Related Operations
  • List - Properties, Related Operations


Module-3: Python Program Flow Control

Module-3: Python Program Flow Control

Module-4: Python String, List And Dictionary Manipulations

  • Conditional blocks using if, else and elseif 
  • Simple For loops in python 
  • For loop using ranges, string, list and dictionaries Use of while loops in python Loop

Module-4: Python String, List And Dictionary Manipulations

Module-4: Python String, List And Dictionary Manipulations

Module-4: Python String, List And Dictionary Manipulations

  • Building blocks of python programs
  • Dictionary manipulation
  • Programming using string, list and dictionary in build functions
  • Dictionary - Properties, Related Operations
  • Set - Properties, Related Operations

Module-5 : Python File Operation

Module-4: Python String, List And Dictionary Manipulations

Module-6 : Python Functions, Modules And Packages

  • Reading config files in Python
  • Writing log files in Python
  • Understanding read functions, read(), readline() and readlines()
  • Understanding write functions, write() and writelines()
  • Manipulating file pointer using seek Programming using file operations



Module-6 : Python Functions, Modules And Packages

Module-4: Python String, List And Dictionary Manipulations

Module-6 : Python Functions, Modules And Packages

  • Organizing python codes using functions
  • User-Defined Functions
  • Function Parameters
  • Different Types of Arguments
  • Global Variables and Keywords
  • Variable Scope and Returning Values
  • Lambda Functions,Built-In Functions 
  • Modules and Packages

Module-7: Deep Dive – Functions and OOPs Topics

Module-7: Deep Dive – Functions and OOPs Topics

Module-7: Deep Dive – Functions and OOPs Topics

  • Introduction to OOPs
  • 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

Module-8: Python Regular Expression

Module-7: Deep Dive – Functions and OOPs Topics

Module-7: Deep Dive – Functions and OOPs Topics

  • Power of pattern searching using regex in Python
  • Real time parsing of networking or  using regex 
  • Password, email, url validation using regex
  • Pattern finding programs using regular expression


Module-9 : Python Exception Handling

Module-7: Deep Dive – Functions and OOPs Topics

Module-9 : Python Exception Handling

  • Avoiding code break using exception handling
  • Safeguarding file operation using exception handling
  • Handling and helping developer with error code 
  • Programming using Exception handling

Module-10: Python Multithreading

Module-11:Contacting User Through Emails Using Python

Module-9 : Python Exception Handling

  • Understanding threads
  • Forking threads 
  • Synchronising the threads
  • Programming using multithreading

Module-11:Contacting User Through Emails Using Python

Module-11:Contacting User Through Emails Using Python

Module-11:Contacting User Through Emails Using Python

  • Installing SMTP Python module
  • Sending email 
  • Reading from file and sending emails to all users addressing them directly for marketing

Module-12: Introduction to NumPy

Module-11:Contacting User Through Emails Using Python

Module-11:Contacting User Through Emails Using Python

  • Basics of Data Analysis
  • NumPy - Arrays , Operations on Arrays
  • Indexing Slicing and Iterating
  • NumPy Array Attributes
  • Matrix Product ,NumPy Functions 
  • Array Manipulation, File Handling

Module-13: Data Manipulation using pandas

Module-14 : Data Visualisation using Matplotlib

Module-14 : Data Visualisation using Matplotlib

  • Introduction to pandas 
  • Data structures in pandas
  • Series,Data Frames 
  • Importing and Exporting Files
  • Merging of Data Objects
  • Concatenation of Data Objects
  • Data Cleaning using pandas
  • Exploring Datasets

Module-14 : Data Visualisation using Matplotlib

Module-14 : Data Visualisation using Matplotlib

Module-14 : Data Visualisation using Matplotlib

  • Why Data Visualisation? 
  • Matplotlib Library 
  • Line Plots, Multiline Plots 
  • Bar Plot,Histogram
  • Pie Char,  Scatter Plot
  • Boxplot, Saving Charts 
  • Customising Visualisations,
  • Saving Plots, Grids and Subplots

Module-15: GUI Programming

Module-14 : Data Visualisation using Matplotlib

Module-16 :Developing Web Maps and Representing Information using Plots

  • Tkinter Package
  • Text Widgets, Window Widget
  • Button Widget, Label Widget 
  • Entry Widget, Slider Widget
  • Radio Button Widget 
  • Geometry Managers 
  • Creating a GUI Application


Module-16 :Developing Web Maps and Representing Information using Plots

Module-16 :Developing Web Maps and Representing Information using Plots

Module-16 :Developing Web Maps and Representing Information using Plots

  • Use of Folium Library 
  • Flow Chart of Web Map Application
  • Developing Web Map Using Folium and Pandas 
  • Reading Information from Titanic Dataset and Represent It Using Plots


Module-17:Data Visualization and Web Scraping

Module-16 :Developing Web Maps and Representing Information using Plots

Module-17:Data Visualization and Web Scraping

  • Beautiful Soup and Requests Library 
  • Scrap All Hyperlinks from a Webpage Using Beautiful Soup and Requests 
  • Plotting Charts Using Bokeh 
  • Plotting Scatter Plots Using Bokeh


Module-18:Web Development using Flask Framework

Module-16 :Developing Web Maps and Representing Information using Plots

Module-17:Data Visualization and Web Scraping

  • Installing Flask 
  • Creating a Base Application 
  • Using HTML templates 
  • Creating websites and deploying web app


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