Python统计导论 Introduction to Statistics with Python

统计和编程的交汇点

你会学到什么
基本统计分析
如何使用Jupyter笔记本
统计分析的Python语言的基础
数据可视化

要求
不需要以前的编码经验

MP4 |视频:h264，1280×720 |音频:AAC，44.1 KHz，2 Ch
语言：英语+中英文字幕（云桥CG资源站 机译）|时长:59节课(7h 43m) |大小解压后:2.52 GB


描述
本课程提供了统计学的基本介绍以及Python(一种流行的编程语言)的使用。在本课程中，我们将在Jupyter Notebook(Python常用的集成开发环境)的分析框架内了解统计学中的许多基本思想。主题包括描述性和推断性统计。还将讨论与数据可视化相关的概念，以增强您作为数据分析师的能力。共享的概念包括均值、中值、模式、标准差、直方图、置信区间、t检验、相关、回归、方差分析、卡方等。所有这些想法都可以从你自己舒适的家里学到，而不必去上课。测验也可以用来评估你的进度以及视频中使用的实际Python。

对于学生和那些既想接触统计分析，又想对数据科学中涉及的一些工具有基本了解的人来说，这是一门适合你的课程。随着大数据兴起对量化技能需求的增长，培养对统计和分析工具(如Jupyter Notebook)的掌握正在成为一种常态。

参加一门课程，让你为20世纪中期的需求做好准备，成为分析体验的一部分。

这门课是给谁的
初级Python用户
对数据科学感兴趣的人
希望学习统计学的学生



MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 59 lectures (7h 43m) | Size: 2.22 GB

Where Statistics and Programming Meet

What you’ll learn
Basic statistical analysis
How to utilize the Jupyter Notebook
Basic of the Python language for statistical analysis
Data visualization

Requirements
No prior coding experience required
No prior statistical experience required

Description
This course provides a basic introduction to statistics and the use of Python a popular programming language. During the course, we look at many fundamental ideas in statistics within the framework of analysis in Jupyter Notebook a commonly used integrated development environment for Python. Topics include both descriptive and inferential statistics. Concepts related to data visualization will also be discussed to empower you in your journey as a data analyst. Among the concepts shared include mean, median, mode, standard deviation, histograms, confidence intervals, t-test, correlation, regression, ANOVA, chi-square, and more. All of these ideas can be learned from the comfort of your own home without the hassle of having to go to class. Quizzes are also available to assess your progress along with the actual Python that is used in the videos.

For students and those who want exposure to statistical analysis while also obtaining a basic insight into some tools involved in data science, this is a course for you. With the growth in demand for quantitative skills with the rise of Big Data, developing mastery of statistics and analytical tools such as Jupyter Notebook is becoming a norm.

Come and be a part of the analytics experience by enrolling in a course that will prepare you for the demands of the mid 20th century.

Who this course is for
Beginning Python users
People interested in data science
Students looking to learn statistics
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