Python Training in Mumbai with Certification

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3RI Technologies offers Python training in Mumbai is ideal for anybody interested in a career in the Python programming language. Our Python course covers everything from the basics to advanced topics. Individuals who are interested in learning how to design online and gaming apps, as well as classes that will help them acquire a Python certificate, can enroll in our instructor-led course. Our training is aimed to provide you with practical experience developing various applications. Our instructor-led classroom and online training include hands-on projects to ensure that you are industry-ready to ace interviews and obtain a high-paying career.

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 Mumbai Overview

About Python Training with 3RI Technologies

Python is a high-level programming language that allows for dynamic scripting and binding, making it suitable for Rapid Application Development (RAD). It also has a lot of potential as a scripting language due to its syntax, which is not only simple but also very easy to implement when compared to other languages, making coding much easier to understand. Python’s modules and packages, as well as a library, make it easy to modularize applications and reuse code across platforms.
Python is a popular object-oriented programming language that can be used to create a wide range of Mobile and Web applications. Machine Learning, Data Science, Data Engineering, Data Analytics, Automation, and Big Data can all advantage from its extensive mathematics and statistics library. It is often regarded as the most industry-ready programming language because of its versatility and capability. It is one of the most well-paid programming languages in the IT sector, and it is widely utilized by both beginners and experienced professionals.

Why from 3RI Technologies?

3RI Technologies Python Classes in Mumbai offer both freshers and experienced professionals well-trained and industry-experienced instructors that can assist them in preparing for corporate careers. We understand students’ expectations, and we make every effort to meet them by updating and redesigning our Python course content by industry standards. Python Training in Mumbai is a hands-on course with one-on-one mentoring and plenty of opportunities for student interaction. Our expert trainers begin by explaining concepts in a straightforward and easy-to-understand manner, ensuring that students understand them completely.
There are no prerequisites for Python programming language, although it does require a basic grasp of programming languages. People who understand the core concepts of programming languages have a leg up on their competition. In Mumbai, both beginners and experienced professionals interested in learning Python programming and frameworks can enroll in classes. Python Course in Mumbai curriculum was created with clearly defined aims and goals in mind for those who have joined and seek to advance their careers by learning Python. 3RI Technologies, a well-known Python training center in Mumbai, provides both Classroom and Online Python training. Please contact us to schedule a demo with one of our experts.
Python training in Mumbai will train you using the language’s concepts and code reliably and consistently. Through hands-on practical sessions, this Python Course in Mumbai at 3RI Technologies will teach you about Python’s development and design concept, as well as the fundamentals, modules, and collections.

Benefits Of Learning Python Programming Language

The following are some of the benefits of learning Python as a programming language:

  • By learning Python, you will be able to design and deliver Python projects by utilizing Python’s object-oriented approach and comprehensive support resources.
  • By learning Python, you will be able to unit test applications and analyze the language’s extensive integration and throughput.
  • Python is a simple to learn the language with a wide range of third-party Python packages. You will be able to utilize Python for Machine Learning, Web Processing, Data Analysis, Data Visualization, Natural Language processing if you master Python’s advanced features.
  • Python programming is iterative, and every company demands agile programming since products or services are continuously being created and enhanced. Python is adaptable, and by learning it, you may be able to help your company achieve its actual project mission and vision.
  • Python is one of the most secure programming languages accessible. By learning Python, you may be able to develop a more secure version of an application that is less vulnerable to assaults and manipulations.

3RI Technologies Python Course in Mumbai covers the fundamentals of the Python programming language at all levels, from beginner to expert, and our Python sessions are widely recognized as the best in the industry. You will be market-ready and able to ace interviews for Python developer jobs after finishing the Python Course in Mumbai at 3RI Technologies. All training sessions are aligned with hands-on Python course standards and objectives to guarantee that Freshers and Professionals acquire practical experience as professionals train them on case studies and live projects using Python programming.

3RI Technologies Python Course in Mumbai is recommended for anybody interested in learning more about developing web applications. Our trainer expert trains students to develop APIs and applications, as well as database schema and database design for web applications, set up and document APIs, and host servers. Besides, our trainer experts assist in developing web applications, analyzing, and creating a solution for a variety of industries and companies, and company sizes.

Benefits of Python Course in Mumbai
  • Python trainers are well-versed in the field, have had extensive training, and are often regarded as industry leaders.
  • Freshers and Professionals will receive real-world Python programming experience through a combination of training sessions and hands-on Python course assignments.
  • After finishing the Python course, individuals will be ready to seek employment and ace interviews for Python programming positions.
  • Master the foundations of Python programming, such as Data Types, Operators Data Structures, Functions, Multi-threading, Exceptions, Regular Expressions, Networking, Lambda Expressions, OOPS concepts, Modules, Django and Flask Framework, RDBMS concepts, Database programming, and connection to multiple Data Sources.
  • Python training in Mumbai allows you to demonstrate your abilities to prospective clients and employers.
  • Those who have completed Python Training In Mumbai earn more on average per year than their non-certified counterparts.
  • Python certificates will broaden career opportunities for individuals who wish to improve their careers in Python.
  • Increase your chances of being advanced at your current employment.
Reasons To Choose Python Course in Mumbai from 3RI Technologies

3RI Technologies delivery of Python courses based on proven expertise and concepts, as well as its support in advancing their careers and ensuring long-term success, empowers individuals and companies.

  • Trainer having extensive expertise with Python and frameworks, as well as best practices.
  • Specialized placement cell, we provide placement assistance. 
  • Work on real-world projects to get experience in Python programming.
  • Individual attention, as well as post-training assistance, is provided.
  • One-on-one session to address any doubts.
  • Live sessions and sample mock tests for Python Certification exams 
  • Resume writing assistance 
  • Profile setup assistance on LinkedIn, GitHub, and other similar social networking sites 
  • Benefit both fresh graduates and professionals 
  • Affordable Course Fees
  • Access to Python course materials 
  • 24/7 Lab sessions 
  • Classroom and Online training- batches with weekdays and weekends
Who Is Eligible To Take The Python Course?

Python Course In Mumbai is appropriate for individuals of all levels of competence due to the growing demand for competent experts. This course is best-suited for-

  • Software Developers
  • Web Developers
  • Big Data Experts
  • Data Security Consultants
  • Data Scientists
  • Data Engineers
  • Business Consultants
  • Business Analysts
  • Research Analysts
  • UX Designers
  • Python Developers
  • Anyone interested in a Python programing language.
  • Anyone interested in becoming a Python Developer or Python Full Stack Developer.
  • Experts that want to pass their Python Certification exams.
  • Freshers
  • Graduates, Postgraduates, MCA, BCA, BSc (IT)
Course Demand & Future Scope

Python is one of the most promising and hence one of the most in-demand professions with excellent salary and perks, according to Glassdoor and LinkedIn. Due to a lack of trained and certified Python experts anticipated to fulfill increased python positions and various linked skills and competencies being the most in-demand by organizations, there is currently a growing need for python specialists across all sectors, local and global. According to the research, young competent Python Experts would be in great demand shortly.
Python programmers are in high demand in almost every field, therefore Python Classes In Mumbai are popular among recent graduates and professionals. Today’s Freshers and Professionals understand that to become a Python Developer, they must constantly improve their talents beyond essential knowledge, such as by extending their skill set and learning to code. Besides, competent Fresh graduates and professionals must be well-versed in all aspects of Python and demonstrate a level of expertise to improve expected benefits and unearth crucial insights for the companies and clients with whom they function.
Python Certified Developers will be in great demand today and in the future, since there aren’t enough Certified Python professionals to meet demand. You may be able to further your career by obtaining a Python certification, which comes in three levels, ranging from Entry-level to Associate to Professional certification in Python. You would be in great demand if you take Python Training in Mumbai since you will be a Certified Python Developer among your peers. Companies will pay you according to your salary expectations since Python Certified Professionals are in high demand.
Python developers are in high demand in India and other developing countries, with an Average Salary of 5,68 LPA. Python Training in Mumbai is much less expensive, most convenient, and more effective than other training plans. You may work as a Python Developer, Data Scientist Expert, or Machine Learning Expert after completing the Python Training in Mumbai, which includes mock interviews to familiarize you with the interview requirements and help you start your career in the IT sector.
It is a great time to start your career as a Python Developer if you want to seek a professional career. If you want to stand out and be employed by MNCs, now is the time to enroll in 3RI Technologies Python Training In Mumbai. For more information about the course, please contact us.

Skills Required

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40 to 50 Hour Course Duration
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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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