面向数据科学的Python基础

Python Basics for Data Science

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!

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IBM
edX
  • 完成时间大约为 1
  • 初级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

What is Python and why is it useful

The application of Python

How to define variables

Sets and conditional statements in Python

The purpose of having functions in Python

How to operate on files to read and write data in Python

How to use pandas, a must have package for anyone attempting data analysis in Python.

课程概况

Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours.

Upon its completion, you’ll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.

You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning and data visualization with this introductory course.

课程大纲

Module 1 - Python Basics
Your first program
Types
Expressions and Variables
String Operations

Module 2 - Python Data Structures
Lists and Tuples
Sets
Dictionaries

Module 3 - Python Programming Fundamentals
Conditions and Branching
Loops
Functions
Objects and Classes

Module 4 - Working with Data in Python
Reading files with open
Writing files with open
Loading data with Pandas
Working with and Saving data with Pandas

Module 5 - Working with Numpy Arrays
Numpy 1d Arrays
Numpy 2d Arrays

预备知识

Basic Math

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