Python Training in Noida with Certification

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Master yourself in Python Programming Today!

 

3RI Technologies’ Python training in Noida is best for anyone interested in mastering Python programming. Our Python course covers the syntax, data types, functions, Regular Expressions, Modules, Django/ Flask Framework, and MongoDB. Our Python courses are designed to provide instructor-led classroom and online training, as well as follow-up assistance. Our industry-experienced trainers aim to make trainees, industry-ready by providing hands-on project experience. Our placement team’s goal is to help individuals advance their careers by providing mock interviews, soft skills training, and interview preparation so that they may ace interviews and land a high-paying position.

Key Features

Course Duration : 8 Weeks

Live Projects : 1

Online Live Training

EMI Option Available

Certification & Job Assistance

24 x 7 Lifetime Support

Our Industry Expert Trainer

We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios.
The Global Certified Trainers are Excellent in knowledge and highly professionals.
The Trainers follow the Project-Based Learning Method in the Interactive sessions.

Python Course in Noida Overview

About Python Training with 3RI Technologies

Python is a popular general-purpose programming language used for a wide variety of utilization of different applications. It consists of dynamic typing & binding, high-level records structures, and many more significant aspects that help complicated utility development for scripting that unites elements collectively. It can be sustained to make machine appeals to all operating structures and execute codes written in C, C++.

Python is a widespread language recognized in various applications due to its all-presence and ability to run on any machine architecture platform.

3RI Technologies is the most renowned Python training institute in Noida. Everything you learn starts with the basics to the advanced level. The proficient are well-experienced and will help you understand everything with proper and real-time scenarios. The python training course fees depend on the model you are interested to learn. On average, the python course fees in Noida vary from 15k to 25k, depending on the mode you choose. Yes, that’s correct! 3RI Technologies provides both online and classroom training courses for Python certification. But whichever way of training you go for, the deliverables like the notes, lectures, assignments, real-time projects, etc., will all be the same. 3RI Technologies is the best python training institute in Noida, which offers a fantastic course reasonably.

Are you willing to explore and understand more about this course? Visit our website now and enroll for the demo session today!

3RI Technologies comes up with various modes of training, which is summaries below:

  • Python Program Training- From Basics to Advanced Level
  • Python for Automation Testing
  • Python for Data Science 
  • Python for Cloud Computing
  • Python for DevOps
  • Python for Web Development

Why 3RI Technologies?

3RI Technologies is one of the best python training institutes in Noida. It helps individuals by implementing courses based on functional principles and technical theories, supporting them in developing their professions and building enhanced growth in their companies.

  • Chance to work on real-time projects
  • Faculty is our strength. All our Python trainers carry vast experience, has an enthusiasm for education, and examined to be the best in the industry
  • Placement support with the dedicated placement cell
  • Various assignments and real-time projects
  • Personalized attention and post-training support
  • Doubt interpretation sessions
  • Online and recorded sessions

How are 3RI Technologies the verified certification providers?

After completing the Python training in Noida with 3RI Technologies, you will have hands-on real-time projects, scenarios. After scoring distinction in the course, i.e., 60 or above 60%, you will receive a 3RI Technologies Python training course completion certificate.

This certificate is approved and will be eligible all over India and worldwide. 3RI-affiliated Institute identifies it, which involves around 90+ Top Corporate companies followed by some fortune companies.

Which are the modes to apply for this course?

Well, 3RI Technologies comes up with both proficient led online training (online) or classroom training (offline). We also offer corporate practice for companies to upgrade all the necessary workforce. Additionally, the trainers here have at least 10+ years of industrial experience, which they ultimately share with you by teaching you real-time scenarios and examples. To know more about the trainer, or if you wish to check who the training will be and by which proficient, you can always check the demo session here.

Does 3RI provide Job Assistance with a Python training course in Noida?

A hell yes! 3RI Technologies renders placement assistance to everyone who has effectively finished the course, alongside projects – on schedule. To take advantage of this, 3Ri Technologies is solely tied-up with 100+ top corporate companies worldwide. This way, you can have an opportunity to apply for the companies where you dream to work with. We likewise help you with your prospective employee enhancement points, resume building, and some delicate expertise sessions.

We also help you with your job interview, resume preparation, and some soft-skill sessions.

Which kind of projects are included in this python training in Noida?

3RI Technologies comes up with updated, industry-based, high-value projects and some extra training assignments with these Python classes. By implementing them, you can achieve the knowledge that you have earned in the real-world activity. We give you the best ventures from the most dependable foundation for Python course in Noida altogether test your capacity, abilities, understanding, and utilitarian information to make you industry-prepared. You will work on some inspiring projects in the areas of marketing, supply chain, e-commerce, sales, investment and economics, and more. After executing them successfully, you will up-skill your knowledge with about 6+ industrial experience level.

Course Features

Python Course features

  • Job Assistance
  • 24/7 Lifetime Learning Support
  • Hands-on Real-time Projects
  • Live Online Training Classes
  • Assignments & Mocks
  • Industry expert proficient trainers
  • Flexible Batch Timings
  • Extra Sessions

Prerequisites

No specific requirements, but having a basic understanding of programming would help grasp things easier.

Course Duration

40 hours, i.e., 8-9 weeks approx.

Who all can apply for this course?

  • Software Developer or Software Engineer
  • Data Scientists
  • Data Analysts
  • Automation Tester
Overview of Python

Python is an open-source, object-oriented programming language with various applications for mobile applications, game development, and web applications in computerization, massive data, erudition science, and information research improvement. It is a flexible, ridiculous, object-situated, an interpreted language. Python is considered a programming language with the best measure of work prospects. Our Python affirmation course in Noida gives a comprehensive Python Course training to help you to dominate from scratch.

Subtleties of the course 

Python is an effective, adaptable, and open-source language that is not difficult to learn, use, and has vigorous information organization and examination libraries. Python uses systematic computing and profoundly quantitative fields like oil and gas, finance, physics, and signal processing. Our Python Certification Training centers around Python, Statistics and Machine Learning basics and advantages in applying Data Science at scale utilizing Python.

The training is a stepwise guide to Python with vast hands-on experience. The course is loaded with a few exercise inquiries, assignments, and situations that help you acquire viable cooperation in recording prescient demonstrating issues that would either require Machine Learning, AI, and more for utilizing Python. 3RI Technologies Python course will also cover basic and advanced Python concepts like writing Python scripts, sequence, and file operations in Python. You will utilize libraries like pandas, NumPy and understand the ideas like Python, AI, etc.

Main Objectives of this course

  • Programmatically download and interpret data
  • Learn procedures to trade with various kinds of data
  • Study data visualization
  • Complete Text Mining and Artificial analysis
  • Explain Machine Learning
  • Learn to Manage all the real-time data
  • Determine devices and procedures for forbidding modeling
  • Authenticate Machine Learning algorithms
  • Render Time Series & relevant thoughts
  • Gain expertise to handle all kinds of projects in prospect
Key Reasons to go for Python Course in Noida

Easy to learn: Uniformity and simplicity are among the most popular objects why Python is developing and is asked by several companies in and around India. Theories like conditions, functions, loops, libraries, coding, and other such technical parts are more comfortable to learn than learning them in C or C++languages.

Efficient: Using Python, you can do nearly anything you want. From website development to develop an application – everything is done with ease. You can make use of various regular expressions instead of the complex loops and conditions. Python applications are simple to write and explain, which conflicts with what you get with other programming languages. This covers all fields like machine learning, AI, data visualization, and web development.

Job Opportunities after completing this Python course

Completing this Python training course in Noida will enhance your career in a new way with excellent career options. These days thousands of most flourishing technical companies are using Python, including Google, Netflix, Reddit, Lyft, Spotify, and more. Python offers several sharp paths to obtaining significant work. While some of those inherent job profiles may seem obvious, there are several other options to go for with them. There is no doubt in admitting that Python has become one of the most beneficial programming languages to learn if you are willing to upskill your profession.

Job Opportunities with Python

Python implementation and coding is a super readable format, which other programming languages cannot offer. Even a short in Python aims to be prosperous.

Job Profiles with Python

  • Python Developer
  • Data Scientist
  • Product Manager
  • Research Analyst
  • Financial Advisor
  • Software Developer
  • Data Analyst
  • Software Engineer
  • Data Journalist

Once you are done with your python training in Noida, you can also start your new career in the most well-known and which are popularly known as the future of technologies, like:

  • Artificial Intelligence
  • Machine Learning
  • Data Science

Python Salary

Fresher Python Developer can anticipate earning an average total salary of around Rs. 587,696. A direct career Python Developer with 1 to 5 years of experience makes an average total compensation of Rs. 735,049. And a mid-career Python Developer with 6 to 9 years of experience draws an average total wage of Rs. 1,025,107. A refined Python Developer with 10 to 20+ years of experience gets an offer out pay of Rs. 1,600,000.

Syllabus for this Python course in Noida

3RI Technologies Python Certification Training in Noida will help you boost your skills in all terms of python programming. We offer live-instructor-led sessions that will help you in comprehending the notions included in Python. With our Python training in Noida, you will learn Python programming concepts like Data Structure, Strings, Data types, tuples, GUIs, basic operators, functions, Multi-threading, Data Manipulation, Expressions, and more. Gain an absolute understanding of Python OOPS concepts and more with the 3RI technologies Python course in Noida.

Below is the syllabus of our course:

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Python Course Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions

Module 1: Python Programming(Compulsory)
  1. An Introduction to Python
    • Why Python, its Unique Feature and where to use it?
    • Python Environment Setup
    • Discuss about IDE’s like IDLE, Pycharm and Enthought Canopy
    • Start programming on an interactive shell.
    • Python Identifiers, Keywords
    • Discussion about installed module s and packages
    • Access Command line arguments within programs
  2. Conditional Statement, Loops, and File Handling
    • Python Data Types and Variable
    • Condition and Loops in Python
    • Decorators
    • Python Modules & Packages
    • Python Files and Directories manipulations
    • Use various files and directory functions for OS operations
  3. Python Core Objects and Functions
    • Built in modules (Library Functions)
    • Numeric and Math’s Module
    • String/List/Dictionaries/Tuple
    • Complex Data structures in Python
    • Arbitrary data types and their Data Structure
    • Python built-in function
    • Python user-defined functions
    • Python packages and functions
    • The anonymous Functions – Lambda Functions
  4. Object Oriented Python
    • OOPs Concepts
    • Object, Classes and Destroying Objects
    • Accessing attributes, Built-In Class Attributes
    • Inheritance and Polymorphism
    • Overriding Methods,
    • Abstraction and Encapsulation
  5. Regular Expression
    • Regular Expressions
    • What are regular expressions?
    • The match and search Function
    • Compile and matching
    • Matching vs searching
    • Search and Replace feature using RE
    • Extended Regular Expressions
    • Wildcard characters and work with them
  6. Multithreading
    • Multithreading with Python
    • What is multithreading?
    • Starting a New Thread
    • The Threading Module
    • Synchronizing Threads
  7. File Handling
    • Writing data to a file
    • Reading data from a file
    • Read and Write data from CSV file
    • OS module
    • Rename and Removing files, directories
  8. Exception Handling in Python
    • Exceptions Handling
    • Handling various exceptions using try….except…else
    • Try-finally clause
    • The argument of an Exception and create a self exception class
    • Python Standard Exceptions
    • Raising an exceptions, User-Defined Exceptions
  9. Debugging Python Programs
    • Debug Python programs using pdb debugger
    • Assert for debugging
    • Standard project setup in Python
  10. Modules & Packages
    • Modules
    • How to import a module?
    • Packages
    • How to create packages
  11. Database Handling
    • Create Database Connection
    • Creating and accessing SQLite database
    • Python with MySQL Database
    • Creating Database table
    • CRUD operation on a database
    • Performing Transactions
    • Handling Database Errors
    • Disconnecting Database
Module 2: Advanced Python Programming(Compulsory to Complete Python)
  1. Basics of Web Page Creation
    • Understanding of basic HTML /CSS
    • HTML Header, paragraph
    • Various tag for button, label and combo-box
    • Creation of forms in HTML
  2. Django Framework
    • Introduction to Django
    • MVT Architecture
    • How to create Django App
    • Url Mapping
    • Templates
    • Introduction to static file
    • Django Model Overview
    • Creating model
    • Model template view creation
    • Django forms and validation
    • Relative Url with Template
  3. Interacting with a Database: Models
    • Overview of Models
    • Creating Models
    • Configuring the Database
    • Your First App
    • Using Django with MySQL.
    • Models-Templates-Views Paradigm
    • Inserting and Updating Data
  4. The Django Administration Site
    • Activating the Admin Interface
    • Using the Admin Interface
    • Users, Groups, and Permissions
    • Selecting an Objects
    • Deleting an Objects
  5. Views and Templates
    • URL Template Inheritance
    • Template Inheritance Coding Example
    • Quick Note on Custom Template Filters
    • Template Filters and Custom Filters
    • Template Filters Coding Examples
    • Django Passwords
    • Deploying Django Framework
  6. Form Processing
    • Django Forms
    • Form Validation
    • Model Forms
    • Relative URLs with Templates 
    • Relative URLs Coding Examples 
  7. Project Work
    • Discussion on Overview and requirements of Project
    • Creation a Web-based Application
Module 3: Python for Data Science (Different Course, it is delivered Separately) Mathematical Statistics
  1. Fundamentals of Data Science and Machine Learning
    • Introduction to Data Science
    • The need for Data Science
    • BigData and Data Science’
    • Data Science and machine learning 
    • Data Science Life Cycle
    • Data Science Platform
    • Data Science Use Cases 
    • Skill Required for Data Science
  2. Mathematics For Data Science
    • Linear Algebra
      • Vectors
      • Matrices
    • Optimization
      • Theory Of optimization
      • Gradients Descent
  1. Introduction to Statistics
    • Descriptive vs. Inferential Statistics
    • Types of data
    • Measures of central tendency and dispersion
    • Hypothesis & inferences
    • Hypothesis Testing
    • Confidence Interval
    • Central Limit Theorem
  2. Probability and Probability Distributions
    • Probability Theory
    • Conditional Probability
    • Data Distribution
    • Binomial Distribution
    • Normal Distribution


Machine Learning

Python for ML along with Module1

  1. Introduction to NumPy
    • Array Operations
    • Arrays Functions
    • Array Mathematics
    • Array Manipulation
    • Array I/O
    • Importing Files with Numpy
  2. Data Manipulation with Pandas
    • Data Frames
    • I/O
    • Selection in DFs
    • Retrieving in DFs
    • Applying Functions
    • Reshaping the DFs – Pivot
    • Combining DFs
      • Merge
      • Join
    • Data Alignment
  3. SciPy
    • Matrices Operations
    • Create matrices
      • Inverse, Transpose, Trace, Norms , Rank etc
    • Matrices Decomposition
      • Eigen Values & vectors
      • SVDs
  1. MatPlotLib
    • Basics of Plotting
    • Plots Generation
    • Customization
    • Store Plots
  2. SciKit LearnBasics
    • Data Loading
    • Train/Test Data generation
    • Preprocessing
    • Generate Model
    • Evaluate Models


Machine Learning

  1. Exploratory Data Analysis
    • Data Exploration
    • Missing Value handling
    • Outliers Handling
    • Feature Engineering
  2. Feature Selection
    • Importance of Feature Selection in Machine Learning
    • Filter Methods
    • Wrapper Methods
    • Embedded Methods
  3. Machine Learning: Supervised Algorithms Classification
    • Introduction to Machine Learning
    • Logistic Regression
    • Naïve Bays Algorithm
    • K-Nearest Neighbor Algorithm
    • Decision Tress (SingleTree)
    • Support Vector Machines
    • Model Ensemble
      • Bagging
      • Random Forest
      • Boosting
      • Gradient Boosted Trees
    • Model Evaluation and performance
      • K-Fold Cross Validation
      • ROC, AUC etc…
  1. Machine Learning: Regression
    • Simple Linear Regression
    • Multiple Linear Regression
    • Decision Tree and Random Forest Regression
  2. Machine Learning: Unsupervised Learning Algorithms
    • Similarity Measures
    • Cluster Analysis and Similarity Measures
    • K-chical Clustering
    • Principal means Clustering
    • HierarComponents Analysis
    • Association Rules Mining & Market Basket Analysis
  3. Text Mining
    • Basics
    • Term Document Matrix
    • TF-IDF
    • Twitter Sentiment Analysis
  1. Project Work
  • Machine Learning end to end Project blueprint
  • Regression predictive modeling – House Price Prediction
  • Classification predictive modeling – Binary Classification
  • Widespread coverage for each Topic
  • Various Approaches to Solve Data Science Problem
  • Pros and Cons of Various Algorithms and approaches
Module 4: Python for Automation Testing (Different Course, it is delivered Separately) Basic Selenium
  1. Introduction to Selenium
    • Introduction to Automation Testing
    • Why Automation Testing
    • Introduction to Selenium components
    • History and various versions of selenium
    • What is Selenium 3.0
    • Advantages of using Selenium over other tools.
  2. Installation and setting up the environment
    • Installation of Python
    • Automation Setup for Selenium Web Driver
    • Install and Configure PyDev in Eclipse
  3. Selenium-IDE
    • Introduction
    • IDE Features
    • Building & Running Test Cases
    • Building and Running Test Suites
  4. Selenium Web Driver 2.0
    • Why Selenium Web Driver
    • What is a Driver
    • Download & configuring Web driver
    • Architecture of selenium web driver
    • Drivers for Firefox, IE, chrome
  5. Identification of Locators
    • Tools to identify elements/objects
    • Different methods of finding an element
      • By ID, By name, class
      • By Xpath, By Tag name
      • By Link text
      • By CSS
      • Using Effective X-path
  1. Selenium Commands
    • Various types of operation that can be
    • performed on any elements and how to use them.
    • Browser Commands, Navigation Commands
    • Working with a different browser
    • Handling Checkbox, RadioButton
    • Dropdown and Select Operations
    • Capturing Screenshots
    • Handling Keyboard Event and Mouse Event
    • Multiple Window Handling
    • Alert & Pop Up Handling.
  2. Wait Commands in Selenium
    • Implicit Wait
    • Explicit Waits, Expected Conditions

Advanced Selenium

  1. Framework Designing
    • What is Framework
    • Different Types of Framework.
    • How to Design a framework?
    • Data-Driven Framework using Excel
      • Reading and writing data from Excel
      • Executing Testcases from Excel
  1. PyTest Framework
    • Introduction to PyTest framework
    • Installing PyTest
    • PyTest Fixtures
    • Parametrized Test Functions
    • Running multiple tests using PyTest
    • Generating Test report
  2. Unit Test Framework PyUnit
    • Basic of pyunit
    • pyunit Installation
    • pyunit annotation
    • Test Case creation 
    • Test Case execution
    • Assertions/Reporting Errors
    • Suite execution
    • pyunit Reports
    • Using pyunit in Selenium
  3. POM Framework
    • Advantages of POM
    • How to implement
    • Using Page Object and Page Factory
  4. Continuous Build Integration tools- Jenkins
    • What is Jenkins and how to use it
    • Installation and configuration of Jenkins
Module 5: Python for Web Development (Different Course, it is delivered Separately) This course has mandatory sections i.e. Module 1 & 2

Front End Technologies

  1. HTML
    • Introduction and Basic Structure of HTML
    • Basics, Elements, Attributes
    • Paragraphs and Formatting
    • HTML Skeleton, Links, Images
    • HTML Tables, Blocks
    • HTML Lists, Quick List
    • HTML Blocks
    • HTML Layouts & Forms, IFrames
    • HTML Colors
  2. CSS
    • Introduction
    • Syntax
    • Id & Class
    • Backgrounds
    • Text and Fonts
    • Links and Lists
    • Box Model
    • Advanced Topics
    • Dimensions, Display
    • Positioning, Floating
    • Align
  3. JavaScript
    • Introduction
    • Statements & Comments
    • Variables
    • Operators and Comparisons
    • Conditional Statements and Loops
    • User Defined Functions
    • JS Objects
    • JS Validations
  4. Bootstrap
  • What is Bootstrap and its Setup
  • How to Create a Layout in Bootstrap
    • Grid Classes
  • Basic Tags in Bootstrap
    • Contextual colors and backgrounds
  • Table in Bootstrap
    • Bootstrap Basic Tables
    • Striped Rows, Hover Rows
    • Bordered Table, Condensed Table
    • Responsive Tables
  • Navigation bar in Bootstrap
    • Inverted Navigation Bar
    • Fixed Navigation Bar
    • Navigation Bar with Dropdown
    • Right-aligned Navigation Bar
    • Collapsing the Navigation Bar
  • Form & Buttons in Bootstrap
    • Vertical Form
    • Horizontal Form
    • Inline Form
    • Block Level Buttons
    • Active/Disabled Button


Database Handling with Python

  1. Python MySQL Database Access
    • Create Database Connection
    • DML and DDL Operations with Databases
    • Performing Transactions
    • Handling Database Errors
    • Disconnecting Database
  2. Database Handling with NoSQL DB
    • SQL vs NoSQL
    • MongoDB
    • PyMongo
    • Establishing a Connection
    • Accessing Database
    • DML and DDL Operations

Project Work

  • User Login and Registration site
  • Create an online Test evaluation system for Institute
  • Building an E-commerce site in Django

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Skills to Master

Web scraping

Django

Operators

Methods

Functions

Data Structures

Pandas

NumPy

Libraries

Matplotlib

Loops

Errors and exceptions

Tools to Master

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