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New Age Online Python Training & Certification

Get comprehensive Python training that will help you to learn the Python fundamental skills, OOPs concepts, best practices for programming, python libraries to improve your coding skills, and more that will further help you to take your career ahead in the programming space.

Next Class Begins in 4 days - 17 Nov 2019

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Why Online Python Certification?

Get advanced level Python training that can shape your career in a dynamic field of Python. Take a quick look at some of the compelling facts that make Python certification so popular these days.

#1

Career option in the programming field

$74K+

An Average salary taken by skilled entry-level Python Programmer

Python Growth

67%

Increase in jobs that demands Python skills

43K+

Jobs are posted on different job portals for skilled Python experts as per indeed.com

47%

Increase in demand for Python specialists.

Dive deep into the Python Career

Learn about Career benefits, in-demand skills, average salaries and tips to Crack Job Interview.

Python Jobs

$30

Hourly rate is taken by a Python expert as a Freelancer.

Instructor-led Live Online Classes – Python Certification


Upcoming Python Classes

Starting
Duration
Price
17 Nov

17 Nov ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 1199
Discount on Call
27 Nov

27 Nov ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 1199
07 Dec

07 Dec ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 1199
17 Dec

17 Dec ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 1199
Detail

17 Nov ( 6 Weeks)

09.00 - 10.00 AM EST

USD 1199
Discount on Call

27 Nov ( 6 Weeks)

09.00 - 10.00 AM EST

USD 1199

07 Dec ( 6 Weeks)

09.00 - 10.00 AM EST

USD 1199

Earn your Python Certificate

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

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Career Counselling

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Interview Preparation

Interview Preparation

Python Training Course Roadmap

Here are the milestones that you will achieve with our Python Course Training

Introduction to Python

    • What is Python?
    • Python History
    • Python Benefits
    • Python Versions
    • Python Installation
    • Python Program execution
    • How to write your first program in Python?
    • Discuss Python Scripts on UNIX/Windows
    • Python keywords and Identifiers
    • Python statements & indentation
    • Comments in python
    • Command-line arguments

Variables, data types, Loops & Functions

    • Introduction to Variables & Data types
    • Introduction to Numbers & Strings
    • Lists, tuples & Dictionary
    • Decision making & Loops
    • Control Flow & Syntax
    • The if Statement
    • Python Operators
    • The while Loop
    • break and continue
    • For Loop
    • Pass Statement
    • Functions
    • Calling a function
    • Function arguments
    • Built-in functions
    • Scope of variables
    • Decorators
    • Passing parameters to a Function
    • Lambda
    • Closures

Modules and Packages, File Handling & Exception Handling

    • About Modules
    • Importing module
    • Standard Module - sys & OS
    • The “dir” Function
    • Packages
    • What is the data and Information File?
    • Different Modes of a File and Object Attributes
    • Creation of a File and appending data to a file.
    • Renaming and Deleting Files
    • Directories in Python
    • Working with CSV files and CSV Module
    • Common Runtime Errors in PYTHON
    • Errors & Run-Time Errors
    • Handling IO Exceptions
    • Try.... except statement

Python Class and Objects

    • Introduction to OOPs Programming
    • Classes and Objects creation
    • Class variables and Instance Variables Constructors
    • Access Modifiers
    • Defining Python classes
    • Python Namespace
    • Self-variable in python
    • Garbage Collection
    • What is Inheritance? Types of Inheritance?
    • How does Inheritance work?
    • Python Multiple Inheritance
    • Overloading and Over Riding
    • Polymorphism, Abstraction & Encapsulation

Regular expression & Multithreading

    • What is a regular expression?
    • Wild card characters
    • Forming regular expressions
    • Character classes
    • Quantifiers
    • Greedy matches
    • Grouping
    • Match and Search functions
    • Matching vs searching
    • Subfunction
    • Splitting a string
    • Replacing text
    • Defining & Starting a thread
    • Threading module
    • Threads Synchronization
    • Multithreaded Priority Queue

Python with Machine Learning & Data Analytics

    • About Machine learning
    • Machine Learning Methods
    • Predictive & Descriptive Models
    • Step-by-step guide in Machine Learning?
    • About Deep Learning
    • What are Classification and its use cases?
    • Decision Tree
    • Algorithm for Decision Tree Induction
    • Creating a Perfect Decision Tree
    • Naïve Bayes and its working
    • Implementing Naïve Bayes Classifier
    • Support Vector Machine
    • Introduction to data Big Data
    • Introduction to NumPY and SciPY
    • Introduction to Pandas and MatPlotLi

Python Training Course Roadmap

  • Here are the milestones that you will achieve with our Python Course Training

    With our completely specialized curriculum of the Python training course, hundreds of students have qualified Python certification over the past seven years and are placed with some of the leading corporations. Python is the most sought-after skill today, and the demand is sure to increase further. Expert estimates future demand for Python skills to stay exponential for at least the next 20 years.

    Here is what we cover in our online Python Course to make you a Python Expert. Each topic has been detailed with the sub-topic that we cover.

    • What is Python?
    • Why Python?
    • Who Uses Python?
    • Python Characteristics
    • Python History
    • What is PSF?
    • Python Versions
    • How to Download and Install Python?
    • Install Python with Diff IDEs
    • Features and Limitations of Python
    • Python Applications
    • Creating Your First Python Program
    • What is Variable?
    • Variables and Constants in Python
    • Variable, Variable names and Value
    • Mnemonic Variable Names
    • Values and Types
    • Python different numerical types
    • Standard Data Types
    • Order of Operations
    • Swap variables
    • Python Mathematics
    • Type Conversion
    • Mutable Versus Immutable Objects
    • Arithmetic operators
    • Relational operators
    • Logical operators
    • Assignment operators
    • Bitwise operators
    • Membership operators
    • Identity operators
    • Ternary Operator
    • What is a string?
    • Define a string - Multiple
    • Basic String Operations
    • quotes and Multiple lines
    • String functions
    • String slicing - start, end & step
    • String operations and indices
    • String Functions, Methods
    • Delete a string
    • String Multiplication and concatenation
    • Python Keywords, Identifiers, and Literals
    • String Formatting Operator
    • Structuring with Indentation in Python
    • How to use “if condition” in conditional structures
    • if statement (One-Way Decisions)
    • if, else statement (Two-way Decisions)
    • How to use “else condition”
    • If, else if…else statement (Multi-way)
    • When “else condition” does not work?
    • How to use the “elif” condition?
    • How to execute a conditional statement with minimal code?
    • Nested IF Statement
    • How to use “While Loop” and “For Loop”
    • How to use For Loop for a set of other things besides numbers
    • Break statements, continue statement, Enumerate function for “For” Loop
    • How to use for loop to repeat the same statement over and again
    • Break, continue statements
    • Purpose of a function
    • Defining a function
    • Calling a function
    • Function parameter passing
    • Formal arguments
    • Actual arguments
    • Positional arguments
    • Keyword arguments
    • Variable arguments
    • Variable keyword arguments
    • Use-Case *args, **kwargs
    • Function call stack
    • locals()
    • globals()
    • Stackframe
    • What is Regular Expression?
    • Regular Expression Syntax
    • Understanding Regular Expressions
    • Regular Expression Patterns
    • Literal characters
    • Repetition Cases
    • Using regular expression methods
    • Using re.match()
    • Finding Pattern in Text (re.search())
    • Using re.findall for text
    • Python Flags
    • Methods of Regular Expressions
    • Introduction to List
    • Purpose of a List
    • Iterating through a List
    • List slicing, -ve indexing
    • Internals of list
    • List Operations
    • Searching for an element
    • In and count()
    • Adding an element
    • 1) append()
    • 2) insert()
    • Removing an element
    • 1)remove()
    • pop()
    • Merging two lists
    • + operator
    • extend()
    • Advantages of Tuple over List
    • Packing and Unpacking
    • Comparing tuples
    • Creating nested tuple
    • Using tuples as keys in dictionaries
    • Deleting Tuples
    • Slicing of Tuple
    • Tuple Membership Test
    • Built-in functions with Tuple
    • Dotted Charts
    • How to create a set?
    • Iteration Over Sets
    • Python Set Methods
    • Python Set Operations
    • Union of sets
    • Built-in Functions with Set
    • Python Frozen set
    • How to create a dictionary?
    • PYTHON HASHING
    • Python Dictionary Methods
    • Copying dictionary
    • Updating Dictionary
    • Delete Keys from the dictionary
    • Dictionary items () Method
    • Sorting the Dictionary
    • Python Dictionary in-built Functions
    • Dictionary len() Method
    • Variable Types
    • Python List cmp() Method
    • Dictionary Str(dict)
    • What is a Module?
    • Types of Modules
    • The import Statement
    • The from…import Statement
    • ..import * Statement
    • Underscores in Python
    • The dir( ) Function
    • Creating User-defined Modules
    • Command-line Arguments
    • Python Module Search Path
    • What is a Package?
    • Introduction to Packages?
    • py file
    • Importing module from a package
    • Creating a Package
    • Creating Sub Package
    • Importing from Sub-Packages
    • Popular Python Packages
    • What is the data and Information File?
    • File Objects
    • Different Modes of a and Object Attributes
    • Creating, appending, and reading a File
    • Closing a file
    • Read, read a line, read lines, write, write lines
    • Renaming and Deleting Files
    • Directories in Python
    • Working with CSV files and CSV Module
    • Handling IO Exceptions

Course Curriculum

Learn what you'll get after successful enrollment

Python Corporate Training

Python Online Corporate Training & Certification

Being the most popular Programming Language, the Python Corporate Training will help your workforce to build a strong foundation and gain hands-on experience in building and deploying python-based web apps.

FAQs on Python Training

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"We ensure that you learn Python completely, and not only become Python Certified but also get ready for Python Job Interviews."

Our Reviews


6K + Learners | 1605 Reviews

Customer Reviews

Franklin Arthur

I had amazing six weeks of intensive learning with JanBask Training during my Python certification training, everything covered and that too in a very easy manner.

Jeremiah Williams

An amazing course to learn the concepts of Python in an easy manner, total value for money. Thank you JanBask Training!

Veronica Gilbert

Wonderful training program crafted by the industry experts to give you a practical exposure in using Python in real-life scenarios.

Nolan Marcos

Comprehensive Python Training program, I must say these six weeks were like a roller coaster ride. Assignments, practical sessions what not!

Radhika Mahajan

A well collated Python certification training curriculum that takes care of the concepts of your certification exams too.

Shantanu Mukherjee

Very enriching online Python training course that takes care of your practical as well as theoretical concepts. Very happy with my decision.

David Kimothy

Well, if you really want to see what quality training is, I’d suggest you take a Python training program from JanBask Training and experience the joy yourself.

Kevin Diego

Good course and content as well as the trainer, keeps this course explores python skills. The course itself is good covering all aspects of python.

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