Python Online Course

Python Online Training

Trained 15000+ Students | 40+ hrs course duration | 15+ hrs assignment duration | Exams conducted after topic completion

Key Features

1

100% Job Assistance

2

Certified Course

3

24/7 Access & Support

4

Career Advancement

5

Industry-based Projects

6

Live Sessions

7

Profile Building Sessions

Overview of Python Online Training

Python is one of the renowned technical programming languages that testifies incredible growth and demand year by year. Years ago, it was estimated that Python would beat all other programming languages by 2020 because of its in-demand and need an increase in the market worldwide. It is considered one of the best programming languages for AI, Data Science, Big data, and machine learning technologies. This Online Python Course is very easy to learn, understand, and implement all of those technologies.

Python allows you to think like a developer but not get confused with complicated syntax. It is amazingly powerful, and that is why organizations like Google, Dropbox, Spotify, and Netflix use it. 

What is Python?

Python is an object-oriented, high-level, interpreted programming language with a dynamic definition attached to it. Python’s built-in high-level data structures are combined with dynamic binding and typing, which indeed makes it very engaging for Rapid Application Development, Scripting, or glue language to connect existing components.

Python is one of the languages which provide different modules and packages which can be used to assist the coding for optimization, code reusability, modification, and more. Python’s vast standard libraries and interpreters are available in source or binary form, readily available without extra charges.

This Python Course is certification confirmed course focused on 100% Practical and Project-based learning practice which will help you master fundamental Python theories such as Functions, Packages, Data handling, File Operations, Modules, Object-Oriented, API concepts, and many Python libraries such as Numpy, Matplotlib, Pandas, and more.

Python Training in Pune is the top Python training centre in Pune with a 100% job placement assistance. After completing the course, you will also receive a certificate with the grades determined according to your performance in the whole program duration.

Syllabus

  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
  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
  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
  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

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

Course Features

Key Features
  • 100 % Placement Assistance
  • Resume Preparation
  • Interview Preparation
  • Missed Sessions Covered
  • Multiple Flexible Batches
  • Hands-on Experience on One Live Project.
  • Practice Course Material
Who can join?
  • Software Developers and Automation Engineers
  • Data Scientists & Data Analysts
  • Network Engineers
Prerequisites
  • No Prerequisites. Basic Knowledge of Programming is an advantage.
Duration
  • 40 Hours

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FAQ

Most frequent questions and answers

There are three essential and necessary points considered to make Python the best choice to go with, they are:

  • Python Language is the most preferred programming language for new technologies like Machine Learning, AI, Data Science, and more.
  • Python is the most popular programming language because of its readability feature, open-source platform, and easy to learn.

And online python training program will help you learn all the latest and updated concepts/features of Python like Deep Learning, Machine Learning, MapReduce, and more. You will also get an opportunity to work with different packages like SciPy & Scikit during the course study.

Basic knowledge about object-oriented programming concepts will help but is not mandatory. As we start from the basics itself, there is no need to worry about the pre-requisites.

Python is a very famous – general-purpose dynamic programming language where the main focus is on code readability. Hence, coding is easy and short when compared with Java or C++. And this is the reason why people would like to go with this course and become a software developer by profession.

Let us now see who all can take up this online python training course.

  • Software Engineer & Developers
  • Big Data Professionals
  • Project Manager
  • Analytic Professionals
  • ETL Professionals
  • BI Manager

Yes, once you are done with the course, you will be provided with additional sessions for your resume building, soft-skill development, and understanding about who to keep your confidence and body language during an interview. With this, you will also be added to our placement group, where you will be updated with all the latest openings, and you can apply to them from there itself.

Python is very easy to learn and, on the other hand – is one of the most notable and preferred programming languages by MNC’s as it is a high-level, open-source, general-purpose dynamic programming language that concentrates on coding readability. Hence, learning python will take your future to a more extraordinary level. 

Let us look into what this complete python online training course provides:

  • Basics about OOPs, data types, looping, mapping, etc.
  • Introduction, Installation, and Implementation of Python
  • Basics about Hadoop, Data Science
  • Class, Function, Structure, operations, and more
  • Machine Learning Algorithms

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Testimonial

I enrolled here for basic and advance python, the staff is very good.also, proper guidance and doubt clearing sessions are conducted properly.The faculty is very polite and frank and helpful always. Recommended for beginners.Also, opportunities are provided like internships, projects and jobs in various companies and start ups.
Lokesh
Student

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About Us

Python Training in Pune is serving the IT Industry in Training and placement for the last 8-10 years. Under the proprietorship of the Founder, this Training and Placement firm has been growing rapidly. We have the aim of providing the most practical, industry-focused, hands-on, and cost-effective courses to students that will make them eligible to be placed in a firm.

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