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Online training of Python for Data Science

Python for Data Science

Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java.

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Online training of Python for Data Science
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Course Details

Duration: 30 hours
Effort:6 hours per week

Price With GST: ₹750/-

Subject: Data Science
Level: Beginner
Prerequisites
You just need to know basics of any programming language like what is loop, What if and else does, how operators are used. If you know the basics of C or C++, it would be very easy to learn Python. Once you are up with basics of Python try learning any framework to build web application. You can choose flask which is a light weight framework of Python. Once you are able to develop web application using Python, you will never run out of opportunities in Python domain.
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About this course

Python Overview, History of Python, Python Features

What you'll learn

  • Getting Python
  • Install Python Unix & Linux
  • Installation Windows Installation
  • Environment Variables
  • (1) Interactive Interpreter (2) Script from the Command-line (3) Integrated Development Environment
  • Assigning Values to Variables
  • Multiple Assignment
  • Standard Data Types
  • Data Type Conversion
  • Arithmetic Operators
  • Comparison Operators
  • Assignment Operators
  • Bitwise Operators
  • Logical Operators
  • Membership Operators
  • Identity Operators
  • Operators Precedence
  • If, if...else, elif, nested if, Single Statement Suites.
  • while, for, Iterating by Sequence Index, nested, Loop Control Statements, break
  • INT, LONG, FLOAT, COMPLEX, Number Type Conversion, Random Number Functions, Trigonometric Functions.
  • Accessing Values in Lists
  • Basic List Operations
  • Built-in List Functions & Methods
  • Python Date & Time
  • Python Function: Define, Calling, pass by value, reference, Function arguments, Scope of variable
  • Python Modules: import, Packages
  • Python Files I/O: Printingto the Screen, Reading Keyboard Input, Openingand Closing Files
  • Python Classes/Objects: Creating Classes, Class Inheritance
  • Python Regular Expressions: Match function, Search function
  • Python CGI Programming: Web Browsing, CGI Environment Variables, GET and POST Methods
  • Networking, Sending Email
  • Multithreading, GUI Programming
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Batches
Class room training
₹9,440 +GST
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Online live clases
₹750 +GST
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Self placed clases
₹750 +GST
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Course Video
  • 1-Getting Python
  • 2-Install Python Unix & Linux
  • 3-Installation Windows Installation
  • 4-Environment Variables
  • 5- (1) Interactive Interpreter (2) Script from the Command-line (3) Integrated Development Environment
  • 1-Assigning Values to Variables
  • 2-Multiple Assignment
  • 3-Standard Data Types
  • 4-Data Type Conversion
  • 1-Arithmetic Operators
  • 2-Comparison Operators
  • 3-Assignment Operators
  • 4-Bitwise Operators
  • 5-Logical Operators
  • 6-Membership Operators
  • 7-Identity Operators
  • 8-Operators Precedence
  • 1-If, if...else, elif, nested if, Single Statement Suites.
  • 1-while, for, Iterating by Sequence Index, nested, Loop Control Statements, break
  • 1-INT, LONG, FLOAT, COMPLEX, Number Type Conversion, Random Number Functions, Trigonometric Functions.
  • 1-Accessing Values in Lists
  • 2-Basic List Operations
  • 3-Built-in List Functions & Methods
  • 4-Python Date & Time
  • 5-Python Function: Define, Calling, pass by value, reference, Function arguments, Scope of variable
  • 6- Python Modules: import, Packages
  • 7-Python Files I/O: Printingto the Screen, Reading Keyboard Input, Openingand Closing Files
  • 1-Python Classes/Objects: Creating Classes, Class Inheritance
  • 2-Python Regular Expressions: Match function, Search function
  • 3-Python CGI Programming: Web Browsing, CGI Environment Variables, GET and POST Methods
  • 1-Networking, Sending Email
  • 2-Multithreading, GUI Programming
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Python for Data Science Interview Questions:
1. What are the key features of Python?

If it makes for an introductory language to programming, Python must mean something. These are its qualities:

  1. Interpreted
  2. Dynamically-typed
  3. Object-oriented
  4. Concise and simple
  5. Free
  6. Has a large community

2. How is multithreading achieved in Python?

A thread is a lightweight process, and multithreading allows us to execute multiple threads at once. As you know, Python is a multithreaded language. It has a multi-threading package.
The GIL (Global Interpreter Lock) ensures that a single thread executes at a time. A thread holds the GIL and does a little work before passing it on to the next thread. This makes for an illusion of parallel execution. But in reality, it is just threads taking turns at the CPU. Of course, all the passing around adds overhead to the execution.

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Python for Data Science Free PDF Book:
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Customer Reviews

Ankit Nayak

I have taken python basic and advance course. Trainers are good, give personal assistant and clear doubts. Also provide real time projects which seriously help me in getting job.

Kalyan c

I joined here for python classes, its very good place for training and infrastructure is awesome. faculty is really good they helped me a lot to learn the new things.

Chinmaya Kumar Dash

Best training institute for python and Data science.

Matthew

Highly recommended to take this course.Covers all the important topics and the best part is it is taught so well and is always up to date..

Faiza Anjum

I had joined there for data science & machine learning. They have experienced faculties who make it easy for you to learn. It's worth the money!

Reshma Raj

would say this is one of the best institute in Bangalore, I did my data science course , very good teaching from jagadish and amrutha and I am getting help from HR team for placement !! Thank you RTS

Gargi Agrawal

We are doing here data science training, it is a good platform to learn to get a deep knowledge. Here we are getting personal guidance. we get the time to practice

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