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Programming for Data Science

Programming for Data Science

位教师：Dr Jonathan Ward

4,863 人已注册

包含在 Coursera Plus 中

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3个模块

深入了解一个主题并学习基础知识。

4.4

（28 条评论）

初级等级

推荐体验

灵活的计划

8 小时完成

自行安排学习进度

为学位做准备

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3个模块

深入了解一个主题并学习基础知识。

4.4

（28 条评论）

初级等级

推荐体验

灵活的计划

8 小时完成

自行安排学习进度

为学位做准备

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您将学到什么

Open Jupyter Notebook and use it to run Python code.
Identify Python operators, data types and containers.
Program control structures in Python, such as if statements and for and while loops.
Write Python functions that take input and return output.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

3 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有3个模块

Explore the basics of programming and familiarise yourself with the Python language. After completing this course, you will be able to write Python programs in Jupyter Notebook and describe basic programming.

In this course, you will learn everything you need to start your programming journey. You will discover the different data types available in Python and how to use them, learn how to apply conditional and looping control structures, and write your own functions. This course provides detailed descriptions of new concepts and background information for additional context. The quizzes available will help you to develop your understanding. You will also complete exercises using Jupyter Notebook on your computer. By using Jupyter Notebook, you will be able to combine your notes with useful examples so that you develop the resources you need to program independently in the future. This course is a taster of the Online MSc in Data Science (Statistics) but it can be completed by learners who want an introduction to programming and explore the basics of Python.

This module introduces Python and Jupyter Notebook, as well as the concepts of variables, assignment and basic mathematical operators.

涵盖的内容

5个视频9篇阅读材料1个作业1个讨论话题1个非评分实验室

5个视频总计20分钟

Welcome to Programming for Data Science1分钟
Learning to program3分钟
Introduction to Python4分钟
Introduction to Jupyter Notebook5分钟
Python as a Calculator5分钟

9篇阅读材料总计36分钟

About this Course2分钟
How to study on this course4分钟
Our sustainability commitment for your course10分钟
Program Development Environments5分钟
Setting up Anaconda3分钟
Variables and assignment3分钟
Operators, functions and methods5分钟
The math module3分钟
Module 1 Summary1分钟

1个作业总计15分钟

Variable Assignment and Mathematical Operators15分钟

1个讨论话题总计15分钟

Module 1 Reflection15分钟

1个非评分实验室总计10分钟

A first look at Jupyter Notebook10分钟

This module introduces the fundamental data types in Python, namely numbers, strings, Booleans and None. It also introduces structured data types, including lists, tuples, sets, dictionaries and classes.

涵盖的内容

2个视频18篇阅读材料1个作业1个讨论话题1个非评分实验室

2个视频总计6分钟

Overview of Basic data Types in Python5分钟
Introduction to Structured data Types in Python1分钟

18篇阅读材料总计75分钟

Int, Float and Complex5分钟
Mathematical Operators8分钟
Numerical Comparisons2分钟
Methods for int and float2分钟
Introduction to Strings4分钟
Indices and Slices2分钟
String Comparisons and Methods5分钟
f-strings15分钟
Booleans1分钟
Comparisons2分钟
Boolean Operators10分钟
NoneType1分钟
Lists, Tuples and Sets10分钟
Dictionaries2分钟
Classes and Objects1分钟
Variable Types2分钟
From Binary Digits to Complex Data Types2分钟
Module 2 Summary1分钟

1个作业总计15分钟

Basic and Structured Data Types15分钟

1个讨论话题总计15分钟

Module 2 Reflection15分钟

1个非评分实验室总计60分钟

Module 2 Exercise Solutions60分钟

涵盖的内容

2个视频16篇阅读材料1个作业1个讨论话题1个非评分实验室

2个视频总计4分钟

Introduction to Control Structures2分钟
Introduction to Functions2分钟

16篇阅读材料总计114分钟

The If Statement10分钟
The Elif Statement10分钟
The Else Statement10分钟
Nested Conditionals10分钟
For Loops10分钟
While Loops10分钟
Nested Loops10分钟
List Comprehension5分钟
Defining a Function2分钟
Calling a Function3分钟
Exiting a Function15分钟
Parameters5分钟
Side Effects1分钟
Docstrings and Function Annotations2分钟
Module 3 Summary1分钟
Future Steps10分钟

1个作业总计60分钟

Conditionals, loops and functions60分钟

1个讨论话题总计15分钟

Module 3 Reflection15分钟

1个非评分实验室总计60分钟

Module 3 Exercise Solutions60分钟

为学位做准备

学习 University of Leeds 的这个课程，您可以预览相关学位课程计划中的主题、材料和授课教师，以便您确定该主题或大学是否适合您。

位教师

授课教师评分

5.0 (9个评价)

Dr Jonathan Ward

University of Leeds

2 门课程4,954 名学生

提供方

University of Leeds

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学生评论

4.4

28 条评论

5 stars
67.85%
4 stars
21.42%
3 stars
0%
2 stars
0%
1 star
10.71%

显示 3/28 个

已于 Nov 13, 2023审阅

Concise and good introductory course for anyone that might not be too familiar with Python. Quite easy for non-beginners, but that wasn't the target demographic anyway.

已于 Oct 2, 2024审阅

Good "taster" course... no technical/grading issues, very polished.

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常见问题

This course is a taster to MSc Data Science (Statics) on Coursera. Completion of the course will not give you credit towards this programme. The course can be completed independently by any learners interested in programming and learning the basics of Python.

Yes, you will need to install Python on your computer in order to write programs.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.