Python for Data Science Online Certification | 4 Year Access
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Python for Data Science - Online

Learn the fundamentals of programming, data structures, web development, and data science using Python - The hottest language.


Data Structures
Data Science
Web Development




Online

4-year access. Live chat support with TA.



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4

Year Access!

Study at your own pace. Pause for exams. Revise for interviews.



100+

Doubts cleared

Frequently asked questions by over 1,000 students



Yes

Verified Certificate

As soon as your homework is accepted.


20,000

Original23,000

Scholarship Form

Scholarship available



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • 100+

    Doubts cleared

    Frequently asked questions by over 1,000 students



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • 100+

    Doubts cleared

    Frequently asked questions by over 1,000 students



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • 100+

    Doubts cleared

    Frequently asked questions by over 1,000 students



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • 100+

    Doubts cleared

    Frequently asked questions by over 1,000 students



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • 100+

    Doubts cleared

    Frequently asked questions by over 1,000 students



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • 100+

    Doubts cleared

    Frequently asked questions by over 1,000 students



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • 100+

    Doubts cleared

    Frequently asked questions by over 1,000 students



  • Yes

    Verified Certificate

    As soon as your homework is accepted.

  • 1
  • 2
  • 3

20,000

Original23,000

Scholarship Form

Scholarship available


How to Enroll

Fill out this scholarship form.

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We will call you to discuss scholarship amount.
Because of high number of enquiries the waiting time may be upto 24 hours.





Python for Data Science - Online - Recent Placements

Best off-campus placements and career services


Coding Elements programming institute off-campus placement at Fidelity
Python & Data Science course student Arushi Arora
Coding Elements coding institute off-campus placement at Fidelity

Python & Data Science

Congratulations Arushi Arora for receiving offers from Fidelity and other companies.

Coding Elements programming institute off-campus placement at UrbanClap
Python & Data Science course student Devam Khurana
Coding Elements coding institute off-campus placement at UrbanClap

Python & Data Science

Congratulations Devam Khurana for receiving offers from UrbanClap and other companies.

Coding Elements programming institute off-campus placement at IBM
Python & Data Science course student Jitin Bahri
Coding Elements coding institute off-campus placement at IBM

Python & Data Science

Congratulations Jitin Bahri for receiving offers from IBM and other companies.



Python for Data Science - Online Course - Curriculum

We will assess the student and adjust the curriculum for optimal learning.



  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
  • laptop_chromebook

    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
  • laptop_chromebook

    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App
  • laptop_chromebook

    Programming Basics and Logic

    • Basic syntax & Control flow
    • Conditions & Loops
    • Functions
    • Recursion
    • Scope
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    Object Oriented Programming

    • Classes and Objects
    • Encapsulation and Mangling
    • Inheritance
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    Data Structures and Algorithms

    • Arrays & Strings
    • Dictionary, Set, Tuple
    • Stack, Queue, LinkedList
    • Trees & Heaps
    • Hash Tables
    • Algorithms and Complexity
  • laptop_chromebook

    Functional Programming

    • Lambda functions
    • map, reduce, filter, sort
    • List Comprehension
    • Unpacking
  • laptop_chromebook

    Data Science and Machine Learning

    • Files (csv, json)
    • Essential modules (time, random)
    • Data science (numpy, pandas)
    • Graphs and Plots
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Desktop Calculator
    • Chatting Web App



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Python for Data Science - Online - Course Overview


This course is a great way to gain knowledge of the core programming fundamentals and learn Python programming language.

You will learn Web Development, Data Structures and Data Science and will work on numerous exercises and 2 projects to apply the concepts that you’ve learnt.

Python is one of the most popular programming languages these days. Some of the key advantages of learning Python:


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    Simple to Learn, Read and Use

    It is easy to learn and read. So whether you know any other programming language or not, you can start learning Python.
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    Vastly Used by Many Applications

    A large number of big data and automation platforms use Python. Python is widely used in Machine Learning and Data Science fields.
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    Open Source and Huge Support Base

    Since it is open source, many developers work with Python and keep enhancing it. There are millions of users who work with it and hence there is a large community and network of people. You can always receive support in case you face doubts during development. You can also find a large number of resources and libraries that can help make your work much easier.
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    Django is created using Python

    Django is a powerful and open source framework which is used for hassle-free web development. It is built using Python. With the knowledge of Python, learning and working with Django becomes easy.

What students will learn in Python for Data Science - Online Course?


Students will learn core fundamentals of programming and Python language. Some of the main topics include:

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    Programming Basics and Logic

    The basics are the most important part of any language. Topics like Basic Syntax and Control Flow, Conditions and Loops, Functions, Recursion and Scope are included in this section.
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    Object Oriented Programming

    Object Oriented Programming (OOP) concepts are widely used in many popular languages like Python, Java, and C++. Some of the benefits of OOP are Reuse of code and Data Privacy. The major concepts of OOP will be covered in this course like Classes and Objects, Encapsulation and Inheritance. These concepts, once learnt form the fundamentals of OOP and can be applied in other programming languages as well.
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    Data Structures and Algorithms

    Concepts like Arrays and Strings, Dictionary, Set, Tuple, Stacks, Queues, LinkedList, Trees and Heaps, Hash Tables, Algorithms and Complexity are covered.

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    Functional Programming

    Lambda functions, map, reduce, filter, sort, List comprehension and Unpacking.

What are the future prospects after taking Python for Data Science - Online Course?


Python is one of the most popular programming languages and is being used by large systems. It is used across a variety of fields. You have a spectrum of opportunities available once you learn Python. Some of the most largely growing fields are:

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    Artificial Intelligence (AI) Widely Uses Python

    Some of the libraries and tools of Python have been specifically developed to support AI. AI is has a wide scope in many fields like Cyber security and Health Care. There are many branches of AI like Natural Language and Text Processing, Neural Networks and Machine Learning.
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    Big Data Largely uses Python

    Python has the capability to process and analyze large amounts of data using its libraries and tool kits. Big Data is a very lucrative field and there is a huge demand for professionals.
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    Web Development using Python

    Python has been widely used in Web Development projects due to its simplicity and vast support base. It also has a framework (Django) which is used by many people for web development.
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    Python is Used in Networking

    Since Python is open source and free to use, it is also used in the field of Networking. It can be used to read, write and configure routers, etc.

How Coding Elements is different:


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    Essential Skill Development is The Main Focus

    Coding Elements teaches the core programming concepts along with complex concepts like Data Structures. The course is filled with over 400+ practice questions and 2 projects which help you understand how to solve problems using logical thinking, instead of just learning a programming language. This approach helps you in whichever language or technology you work on in the future.
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    Highly Qualified Teaching Experts

    The teachers are carefully selected by Coding Elements. They are people with extensive knowledge and experience. They not just help you with theory, but guide you on how to apply the concepts you are learning in the projects. This approach helps you in your future as well. You are provided with live chat support to help you with your queries.
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    4 Year Access

    You can study at your own pace and from the comfort of your home. This means, you don’t have to feel rushed during your exam time. You can also revise before your job interviews.
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    Verified Certificate is Provided After the Course

    You get a verified certificate that you can showcase as a proof of your skills on successful completion of your course.
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    Career Services are Available to Students

    Coding Elements provides some key career services to its students:

    • Interview Preparation

      Our faculty will guide you in preparing for upcoming interviews. This, however is not a substitute for our full interview course.

    • Placements Assistance

      Our top students would be recommended to companies in our network.

    • Career Guidance and Counselling

      We help students explore the various career options they have in the software field.

    • Resume Review by Experts

      We will review your resume to help your application stand out.
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    Highly Rated Institute by Previous Students

    Coding Elements is a very highly rated institute and previous students have provided excellent reviews to our courses.





Student Reviews - Python for Data Science - Online


Which is the best site to learn python online with certification?


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Yash Mehra, Online Student

Python Online for Data and Web

The python online course provided by coding elements is the best among all. They’ve well designed and curated course that helps in better understanding. And more importantly, their courses cover Data Structure, Data Science and Web Designing too!


Which is the best training institute of Python in Delhi NCR?


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Anmol Khurana, Student at Delhi Public School

Python for Data Science

I have to commute a lot to attend classes at Coding Elements. I don't mind. Because every single class has been worth the tiresome journey. I think, you are one of the best teachers I've had. Probably the best. I hold you in quite high an Esteem. I think you are really good at teaching the things you teach, but you are also good at listening to the doubts and getting to the core of issues, and understanding what is really bothersome, and also at being patient, as the process of 'learning' has its fits and starts and patience is ultimately the way to go, no matter what other virtues you may have. Also, the non-judgmental approach you take towards us, that's quite a relief in itself. It's a lot of pressure off the back of any student who is trying to master a new skill. I am hyperactive and it is really hard for me to keep my interest in one place for months on end. But, in this case, I think Im hooked to programming for a long long time, thanks to you, for the way you helped structure and create my paradigm towards programming and the field of computing in general. And all the conversations we have had apart from 'Python', they were very meaningful in itself. And you shared freely, everything that you could, about computing and other topics, and I think, this too, will help me cast my career in a different light. In recent days, you have become a friend, a teacher and a mentor. And writing this was my way of saying 'Thank You'.






Frequently Asked Questions - Python for Data Science - Online



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    What are the prerequisites to Python for Data Science - Online?

    None. There are no prerequisites for this course.

    If you have had no prior coding experience, you are eligible for this course.

    If you have had mediocre coding experience, you are also eligible for this course.

    You may skip this course if you know most of the concepts listed in the curriculum.
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    How will my doubts get resolved?

    We have dedicated Teaching Assistants who will help you during this course.

    Every Teaching Assistant is assigned 5-8 students.

    You can approach them via WhatsApp and Email.

    You can also schedule Live Doubt Solving Sessions.
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    How many hours of content does this course have?

    This course has 35+ hours of content.
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    Can I download the recordings of this course?

    No. We do not allow downloading of the course videos.

    On the other hand, you will have access to the course for 4 Years.

    We have allocated a generous Watch Time Quota (Total no. of hours you can watch the content), enough to watch the entire content three to four times over.
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    How long will it take to complete Python for Data Science - Online?

    If you dedicate 5-7 hr/week to this course, you will be able to complete it in 3 months.
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    How many students are there in a batch?

    Every Teaching Assistant is assigned 5 - 8 students.

    The TAs work closely with the students, helping them understand the content, and carving out the right learning path for them.
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    Are there any Projects and Assignments in Python for Data Science - Online?

    We have 2 Projects and 400+ Practice Questions in this course.

    For a comprehensive list, you can refer to our course curriculum.
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    For how long do I have access to the course?

    You will have access to the course for 4 Years.

    Also, a reasonable limit has been applied to your Total Watch Time.

    Total Watch Time is the total number of hours for which you can watch the content.

    We have allocated a generous Watch Time Quota (Total no. of hours you can watch the content), enough to watch the entire content three to four times over.

    Online TA chat support will be available for 1 year, but you will still retain access to Hints, Doubt forum, Practice questions, Test cases, and Videos.
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    Does Python for Data Science - Online offer a certificate?

    Yes.

    If you complete all the Projects and 70% of the Assignment Questions, you will be awarded a certificate.
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    What career prospects can I look forward to after completing this course?

    You can look forward to becoming a Python Developer, Data Analyst, Software Developer, Data Scientist, and tons of other exiciting fields of study.
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    Is there a Free Trial available before enrollment?

    Yes. A Free Trial is available.

    You can apply for a Free Trial here.
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    Will there by any Placement Assistance at the end of this course?

    Yes. We do provide Placement Assistance at the end of this course.

    You can contact our Placement Managers for any help.

    We are also keen on building a long term relationship with our students.

    We will provide help with choosing the appropriate profiles and positions that the tech industry has to offer.





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4-year access. Live chat support with TA.


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Lifetime access to Practice | Four Year Video Access | Live Doubt Sessions Daily



Lifetime access to Practice | Live Teaching Sessions | Live Doubt Sessions Daily






Coding is for everyone. This course will be an investment in your future.