Python Training in Kolkata with Certification
Job Oriented Training
3RI Technologies offers Python Training in Kolkata is best for anyone seeking to master the programming language. The Python course covers the fundamentals of programming, data structures and algorithms, shell scripting, web scraping, and Django – MongoDB concepts. We provide classroom teaching, online training, and job placement aid to potential applicants for an affordable course fee. Our training curriculum is customized to the company’s needs and is based on both practical and theoretical approaches. Our expert trainers’ mission is to assist the aspiring candidate in improving their programming language skills and obtaining a well-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 Kolkata Overview
A high-level programming language similar to Python is used to automate, analyze, and develop web-based applications, data science, and big data. Object-oriented and interpreted, Python is a flexible and powerful language. In terms of job opportunities, Python is considered the most attractive programming language. In the field of information technology, Python has been named ‘the next big thing’ because many younger developers and experts prefer it, and it is one of the most highly compensated programming languages. With 3RI Technologies’ comprehensive Python training in Kolkata, you will learn Python fundamentals advanced theoretical concepts such as sequences, and file operations, while also getting hands-on experience with the necessary functional applications as the course combines assignments and live projects.
Python Training by 3RI Technologies covers concepts related to Python programming language from beginner to intermediate level and is considered the best Python training curriculum available.
- 3RI Technologies’s Jumbo pass allows access to only a limited number of classroom sessions and online instructor-led sessions within a year
- Live online sessions and recorded Python tutorials are available for life
- It is our faculty that makes us strong. Each of our Python trainers has over 10 years of industry experience, is passionate about training, and is regarded as one of the best in the industry
- Throughout the course, participants will be engaging in hands-on Python programming activities to gain practice in Python programming
- The Python training will prepare you for interviews for Python programming jobs and you will be ready to crack them afterward
- Learn the basic concepts of Python programming, including data types, dicts, tuples, data structures, lists, basic operators and functions, GUIs, Multi-threading, Exceptions, Regular Expressions, Networking, and Lambda Expressions.
- Learn Python’s OOPS concepts and modules in-depth
- Django Framework is extensively covered
- Connectivity to a variety of data sources through database programming
- Students gain hands-on experience through 25+ assignments and two real-time data projects
The 3RI Technologies team enables individuals and companies to grow by empowering them with python training in Kolkata, providing both practical and theoretical knowledge, enabling them to advance their careers and grow their businesses sustainably.
- Our strength is our faculty. We have Python trainers who have extensive experience and are considered the best in the industry thanks to their passion for training
- A dedicated placement cell at 3RI Technologies can assist with placements
- Work on real-life projects as an intern
- Hands-on Python programming experience using 25+ assignments and two real-time data projects
- Support after training and individual attention
- Whatsapp sessions for doubt clarification
- Students and faculty of Python can connect via WhatsApp
- E-learning and recorded sessions are available through the LMS
- Participants can attend any number of batches for a year with a Jumbo Pass
Python is an easy-to-learn programming language with a wide range of libraries that make it a more efficient and popular language. In Data Science, Python is one of the most popular languages used to perform analysis, manipulation, and visualization of data. Several data science libraries are available in Python, and it is an ideal language for implementing algorithms and quickly developing applications.
Data Science and Machine Learning are popular among IT professionals and students. That is why python courses are in demand in Kolkata. In our Python training institute in Kolkata, we conduct compulsory tests after each module to develop the skill sets of our students. Each student needs to work on a project during the examinations and implement the programming skills they have learned throughout the training. The course does not require any prerequisites. The best recruits for the industry will be those with good exposure to basic mathematics and basic statistics knowledge. The course can be taken even by those without any prior programming knowledge.
You will be able to do the following when you have completed Python training:
- Coding Python is easy when your know-how.
- OOPS, the concept is understood.
- Automate your work-related tasks.
- Comprehend the libraries and tools built into the platform.
- You can build your applications if necessary.
A skilled Python programmer will have a better career opportunity if they know Python. It is time to make yourself comfortable in Python for beginners if you are a java scripter. The salary range for experience as a Python developer is roughly 12 lakhs per year. To be well versed in the python language, you need a strong knowledge of scientific and numerical modules.
Python is regarded as the multiprogramming language since it incorporates all the features of conventional programming languages. For example, C++ and Java. The language is continuously used to develop applications swiftly.
- Multiple programming languages are supported by Python
- Expert in artificial language, machine language
- There are a lot of tools and multiples available in it
- Community support for it is widespread
- Due to its intended purpose of improving code readability
- Python is the only language that uses few lines of code
The future of Python looks promising. Leading companies in the world continue to use Java and Python as trending technologies. Python has become a core language, with programs being created in python for research, production, and development. Python is chosen by small, big, and start-up organizations to meet their customers’ requirements. A Python course in Kolkata has topped a machine learning course, a c programming course, and an r programming course as the preferred language.
In the IT industry, it is the language most commonly used for writing scripts and testing mobile devices. In large-scale applications, Python is ideal. We are expecting highly-skilled Python developers for companies in India. The salary of Python developers has been increasing steadily for some time now. The memory management in Python is very good. The Python programming language has real-world applications in commerce. It offers many libraries and is easy to learn. Trainers for Python are few and far between. This is among the fastest-growing programming languages. You can also participate in trending technologies by choosing a career in Python. In the absence of python, we cannot achieve exceptional results.
Skills Required
- No Prerequisites for Python certification training
- Basic knowledge of SQL is advantageous
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
- 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
- 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
- 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
- Object Oriented Python
- OOPs Concepts
- Object, Classes and Destroying Objects
- Accessing attributes, Built-In Class Attributes
- Inheritance and Polymorphism
- Overriding Methods,
- Abstraction and Encapsulation
- 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
- Multithreading
- Multithreading with Python
- What is multithreading?
- Starting a New Thread
- The Threading Module
- Synchronizing Threads
- 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
- 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
- Debugging Python Programs
- Debug Python programs using pdb debugger
- Assert for debugging
- Standard project setup in Python
- Modules & Packages
- Modules
- How to import a module?
- Packages
- How to create packages
- 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
- 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
- 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
- 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
- The Django Administration Site
- Activating the Admin Interface
- Using the Admin Interface
- Users, Groups, and Permissions
- Selecting an Objects
- Deleting an Objects
- 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
- Form Processing
- Django Forms
- Form Validation
- Model Forms
- Relative URLs with Templates
- Relative URLs Coding Examples
- Project Work
- Discussion on Overview and requirements of Project
- Creation a Web-based Application
- 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
- Mathematics For Data Science
- Linear Algebra
- Vectors
- Matrices
- Optimization
- Theory Of optimization
- Gradients Descent
- Linear Algebra
- 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
- Probability and Probability Distributions
- Probability Theory
- Conditional Probability
- Data Distribution
- Binomial Distribution
- Normal Distribution
Machine Learning
Python for ML along with Module1
- Introduction to NumPy
- Array Operations
- Arrays Functions
- Array Mathematics
- Array Manipulation
- Array I/O
- Importing Files with Numpy
- 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
- SciPy
- Matrices Operations
- Create matrices
- Inverse, Transpose, Trace, Norms , Rank etc
- Matrices Decomposition
- Eigen Values & vectors
- SVDs
- MatPlotLib
- Basics of Plotting
- Plots Generation
- Customization
- Store Plots
- SciKit LearnBasics
- Data Loading
- Train/Test Data generation
- Preprocessing
- Generate Model
- Evaluate Models
Machine Learning
- Exploratory Data Analysis
- Data Exploration
- Missing Value handling
- Outliers Handling
- Feature Engineering
- Feature Selection
- Importance of Feature Selection in Machine Learning
- Filter Methods
- Wrapper Methods
- Embedded Methods
- 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…
- Machine Learning: Regression
- Simple Linear Regression
- Multiple Linear Regression
- Decision Tree and Random Forest Regression
- 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
- Text Mining
- Basics
- Term Document Matrix
- TF-IDF
- Twitter Sentiment Analysis
- 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
- 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.
- Installation and setting up the environment
- Installation of Python
- Automation Setup for Selenium Web Driver
- Install and Configure PyDev in Eclipse
- Selenium-IDE
- Introduction
- IDE Features
- Building & Running Test Cases
- Building and Running Test Suites
- 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
- 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
- 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.
- Wait Commands in Selenium
- Implicit Wait
- Explicit Waits, Expected Conditions
Advanced Selenium
- 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
- PyTest Framework
- Introduction to PyTest framework
- Installing PyTest
- PyTest Fixtures
- Parametrized Test Functions
- Running multiple tests using PyTest
- Generating Test report
- 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
- POM Framework
- Advantages of POM
- How to implement
- Using Page Object and Page Factory
- Continuous Build Integration tools- Jenkins
- What is Jenkins and how to use it
- Installation and configuration of Jenkins
Front End Technologies
- 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
- CSS
- Introduction
- Syntax
- Id & Class
- Backgrounds
- Text and Fonts
- Links and Lists
- Box Model
- Advanced Topics
- Dimensions, Display
- Positioning, Floating
- Align
- JavaScript
- Introduction
- Statements & Comments
- Variables
- Operators and Comparisons
- Conditional Statements and Loops
- User Defined Functions
- JS Objects
- JS Validations
- 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
- Python MySQL Database Access
- Create Database Connection
- DML and DDL Operations with Databases
- Performing Transactions
- Handling Database Errors
- Disconnecting Database
- 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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Who can apply for the course?
- Graduates who want to become Python Developer
- BE / BTech / MCA passed aspirants to make their career as Web Developers / Data Scientists
- IT-Professionals who want to get career as Programming Expert
- Professionals from non-IT bkg, and want to establish in IT.
- Candidate who would like to restart their career after a gap.
- Web Designers for next level of their career.
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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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