This is about learning courses in Coursera. The quiz and programming homework is belong to coursera and edx. All the answers given written by myself.

This repository is aimed to help Coursera and edX learners who have difficulties in their learning process. The quiz and programming homework is belong to coursera and edx and solutions to me.

My solution of tasks of course "DAT208x Introduction to Python for Data Science"

This repository is aimed to help Coursera and edX learners who have difficulties in their learning process. The quiz and programming homework is belong to coursera and edx and solutions to me.

Learn the concepts and techniques that make up the foundation of data science and machine learning.

This is the final project of the course "Python Project for Data Science" from the IBM Data Science Professional Certificate - Final Assignment.ipynb. Skip to content. Search Gists Search Gists. All gists Back to GitHub Sign in Sign up Sign in Sign up You signed in with another tab or window.

Study with Quizlet and memorize flashcards containing terms like File1.closed, with open (example1,"r") as file1:, for, file1: and more.

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

Module 1: Python Basics Take your first steps in the world of Python. Discover the different data types and create your first variable. Module 2: List - A Data Structure Get the know the first way to store many different data points under a single name. Create, subset and manipulate Lists in all sorts of ways. Module 3: Functions and Packages

Consider the class Points, what are the data attributes? class Points (object): def __init__ (self,x,y): self.x=x self.y=y def print_point (self): print ('x=',self.x,'y=',self.y) -->self.x self.y 23.