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Python For Beginners (Udemy.com)

This course specifically created for Data Science / AI / ML / DL. It covers BASICS PYTHON ONLY

Created by: Vinoth Rathinam

Last updated November 2022

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What you will learn

  • Acquire the prerequisite Python skills to move into specific branches - Data Science(Machine Learning/Deep Learning) , Big Data , Automation Testing, Web development etc..
  • Have the skills and understanding of Python to confidently apply for Python programming jobs.

How it compares

Against the other 388 rated Udemy courses in Python on CourseDuck:

  • Rating4.4 out of 5higher than 37% of them
  • Reviews3,308#97 of 389 by number of reviews
  • Length3.9 hoursshorter than 81% of them
  • Last updatedNovember 2022earlier than 56% of them

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Course Description

This course specifically created for A.I Aspirants ( Data Science/Deep Learning/Machine Learning students). It covers all the PYTHON BASICS topics. But still this course can also be learnt by other fields aspirants like Automation, Chatbots, WebDevelopers etc. Because for all the fields this course will create basic knowledge and with this you can self learn python library easily.

Note: Very soon Python Libraries such as NumPy, Pandas and Matplotlib courses will be launched. But for all these advanced course , this "Python For Data Science" course  will be the basement for it.


" 9 main reasons to Learn Python !!! "

1. Python’s popularity

When compared to all other programming language, python is extremely simple, easy to learn, interpret and implement. Due to this reason it became very popular and trending programming right now.


2. High salary

The job demand for python programmers are high. Python engineers have some of the highest salaries in the industry.

The average Python developer salary in the US is $110,021 and $123,743 per year according to the survey conducted by Gooroo and Indeed respectively


3. Python is used in Data Science

There are plenty of Python scientific packages for data visualization, machine learning, natural language processing, complex data analysis and more. All of these factors make Python a great tool for scientific computing and a solid alternative for commercial packages such as MatLab. The most popular libraries and tools for data science are Pandas, matplotlib, NumPy, scikit-learn, Mlpy, NetworkX, Theano, SymPy and TensorFlow


4. Python is used in Automation

IT industries are now moving towards Artificial Intelligence in Automation. So Python with Robot framework combination is the best alternative for Selenium Webdriver with Java as it is easier road map with no programming background.


5. Python used with Big Data

Pydoop is a Python interface to Hadoop that allows you to write a MapReduce program in Python and process data present in the HDFS cluster.

Its features such as a rich HDFS API; a MapReduce API that allows to write pure Python record readers / writers, partitioners and combiners, transparent Avro (de)serialization, and easy installation-free usage.


6. Chat Bots

A chat bot is an artificial intelligence-powered piece of software in a device (Siri, Alexa, Google Assistant etc), application, website or other networks that try to gauge consumer’s needs and then assist them to perform a particular task like a commercial transaction, hotel booking, form submission etc.

NLTK(Natural Language Toolkit) library is a leading platform for building Python programs to work with human language data.


7. Python in Web Development

Python has a wide range of frameworks for developing websites. The most popular frameworks are Django, Flask, Web2Py, Turbo Gears, etc. These frameworks are written in Python, so it’s easier to implement and use it for web development.


8. Computer Graphics in Python

Python is largely used to build GUI and desktop applications. The Python Computer Graphics Kit is a generic 3D package that can be useful in any domain where you have to deal with 3D data of any kind, be it for visualization, creating photorealistic images, Virtual Reality or even games


9. Game Developer

Python libraries such as PyGame, Pyglet , PyOpenGL etc. are used to develop 2D, 3D games with easy coding. Learning any one of these package can able to create rapid game prototyping or for beginners learning how to make simple games.

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Instructor Details

Vinoth Rathinam

I’m Vinoth Rathinam, a QA Automation Architect and SDET with over 15 years of QA automation experience.

I have worked with leading companies such as Tata Consultancy Services, Cognizant Technology Solutions, and TELUS Digital, delivering enterprise automation projects across India, Belgium, Saudi Arabia, and the United Kingdom. This international exposure helps me design training that is globally relevant and aligned with industry best practices.

I specialize in building automation frameworks using Selenium, Playwright, Cypress, RestAssured, Karate Framework, Appium, TestNG, and Cucumber (BDD), with strong CI/CD integration into Jenkins, Azure DevOps, and GitHub Actions. My expertise spans banking, healthcare, insurance, and telecom domains, where I have led automation initiatives that saved organizations significant time and cost while improving release quality.

Alongside project delivery, I founded Vinoth Tech Solutions, my global training brand, where my Udemy courses have helped 150,000+ learners across 190+ countries. Over the years, I’ve also trained 5,000+ professionals in corporate sessions. My free tutorials and demo platforms are used by thousands of testers worldwide to practice and upskill in QA automation.

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Reviews

4.4

3,308 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Moumita Gain on 1/24/2026

Learning Python was super easy and fun all thanks to you. I am a marketer by profession, not a single code I have written in my life, but I have learnt the basics from you. I was looking forward for advance level teaching for python from your end. Lots of gratitude and thanks to you. Regards,

By Kausik Khanra on 1/12/2025

Very nicely presented the contents!!Thank you so much Vinoth Rathinam. Best part is Explanation with Examples that made the understanding super super easy. Next was a well thought sequence of lectures. And no unnecessary talking....direct onto the subject. Very good content. Loved it

By Emre Ergül on 9/23/2024

As a person who is going to start studying computer enginering this year, I learnt a lot of knowledge throughout this playlist. He is good at teaching how to make software. At the same time, this is free. I really suggest it. Thanks a lot for everything, Vinoth!

By Raj kumar Singh on 2/8/2024

Awesome experience, concept is explained in crystal clear manner so that everyone can understand easily. Content was also well prepared and help me to understand the concepts and it will also help when I will practice. Because, without practices everything what I learnt will go in vain. Thank you so much Vinoth.

By Samuel Heaven Nkanyane on 1/24/2023

I have earnestly been desiring to learn python and exposed myself to various resources and videos that could help me be a python developer that I wanted to be. This is by far the best course I have ever seen and anyone who is serious and really really means business in being a python developer must consider. The course instructor is the best, explains all aspects of this course very patiently and easy to understand. Thank Vinoth, you are the best and much respect for you sir!!! This course has turned my career around...

By Graciela Saud on 7/12/2022

Review all the basics, but I don't understand why the name 'for DATA SCIENCE', its because this is the only knowledge we can expect to use in data science? Little dissapointed for that, I was expecting some examples in that matter.

By Sreekumar Menon K on 6/8/2020

i liked the course.. but just looking for some reassurance if this is all the python that you need to know before deep diving into ML? or Data Science for that matter? Also, this does not cover classes, something i believe is essential! but other wise, a really good crash course.

By Ramon Paredes on 3/11/2020

the python basics were very well explained, however, the name of the course needs to be changed as it is misleading. I was expecting some sort of data analysis or something related to data science and the whole course only when to programing basics. again it is very well explained and it is a shame that it did not touch on the Title subject.

By Shikher Sujanani on 2/4/2020

I love Programming and and enjoyed the course.The training covered the basics which seem simple and few additional features compared to C/CPP, Java etc. Training Material(Codes) made available simplifies the hands On. @Vinoth , Thank you ... Regards Shikher

By Muskan Gupta on 11/11/2019

I really liked it, I have had some experience with python and am good enough in languages like Java ,C and C++ and I wish I had access to this video before searching the net for python videos earlier :), I think file handling is not covered but even then its a great course and easy to finish if one has prior coding experience.

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Overall Score : 88 / 100