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Free Python Certification Course – Learn Python Programming

Free Python Certification Course – Learn Python Programming

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A perfect blend of in-depth Python theoretical knowledge and strong practical skills, this Free course for Python introduces real-time Python projects to give you a headstart in learning Python and enables you to bag top Python jobs in the industry.

★★★★★ Reviews| 686729 Learners

Why should you enroll in this Free Python Course?

  • 20+ hrs of self-paced video course
  • Get 5 Real-time projects and 35 complementary projects
  • 100+ hrs of study material, practicals, quizzes, interview guides
  • Practical oriented course with real-time case-studies
  • Lifetime access with industry renowned certificate
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What will you take home from this Python Free Online course?

  • Kickstart your career as Python pilots the IT World
  • Build a strong foundation in Python
  • Understand how Python helps with Data Science
  • Work on standard industry use-cases and live projects
  • Learn complex concepts like decorators & testing
  • Get to know the top web frameworks of Python
  • Build GUIs with Python
  • Learn to build your own modules and packages
  • Unleash the power of Object-Oriented Programming with Python
  • Beginner friendly course which makes you an expert
  • Work with images and files
  • Discover powerful libraries

Why should you learn Python?

Python is the #1 Programming Language from 2017
-IEEE Spectrum
Python is the ‘Language of the Year’ for 2022
-TIOBE Index
Python is the most preferred language of Data Scientists for Machine Learning & Data Science applications
-Google
The average salary of all Python developers today is $123,360
-Indeed
Python is becoming the world’s most popular coding language
-The Economist

What to do before you begin your Free Python online training?

Nothing!
All you need to make the most out of this free course is a desire to learn and a penchant for solving problems

Python Course Prerequisites - DataFlair

Online Python Free Training Course Curriculum

You will learn:   Tools to learn in Big Data Hadoop Course

Some awesome projects you’ll get to build in this Free Python course

Cartoonifier

Learn to use the fundamentals of Computer Vision to cartoonify an image with OpenCV and also build a brief GUI with tkinter. The objective of this project is to take an image and render a cartoonish version of it with homogeneous colors and thick, defining edges by blurring it and then extracting the edges.

My Art Gallery

This project demonstrates an implementation of Neural Style Transfer (NST). In this, you will use 9 trained models of famous paintings and apply their styles to your own images so they look painted by the artists themselves. Neural Style Transfer is the act of borrowing style from one image and applying it to the content of another.

Vintage Colorizer

To use Python to take old, B&W pictures and render them in color. The purpose of this project is to take black-and-white pictures and imagine what they’d look like if captured today- with color photography. You will use Computer Vision and Deep Learning (Convolutional Neural Network) to make this happen.

Spam Detector

This project is a spam detector that can classify a piece of input text as ‘spam’ or ‘ham’ (not spam). Here, you will learn to put to use the concepts of Natural Language Processing (NLP). You will implement a TF-IDF Vectorizer and an SVM Classifier for the same. Using tkinter, you’ll also build a GUI for this project.

Errand Organizer

Learn to build an errand organizer with Django (web app) and its MTV pattern. In this project, you will build a simple to-do list where you can add and delete tasks, and also mark them done. Tasks will be classified through categories; you will also learn to operate the Django admin panel through a superuser.

35+ Complementary Projects

Along with the mentioned Python projects, we will also provide 35+ complementary projects to master the concepts of Python and become industry ready.

Features of Python Free Course

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Course Content

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1.Getting Started with Python
2.Working on Python
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