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30-Day Money-Back Guarantee

This course includes:

  • 3.5 hours on-demand video
  • 24 articles
  • 76 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Development Data Science Statistics

数据科学和商业分析中的统计学

办公需要的统计学:描述性和推理性统计、假设检验、回归分析
Rating: 4.6 out of 54.6 (22 ratings)
108 students
Created by 365 Careers, 365 Careers Team
Last updated 7/2019
Simplified Chinese
30-Day Money-Back Guarantee

What you'll learn

  • 理解统计学基本知识
  • 学会与不同类型的数据打交道
  • 如何划分不同类型的数据
  • 计算集中趋势、不对称性和变异性的标准
  • 计算相关和协方差
  • 分辨处理不同类型的分布
  • 估算置信区间
  • 进行假设检验
  • 用数据驱动的决策
  • 理解回归分析的原理
  • 进行回归分析
  • 使用和理解虚拟变量
  • 理解数据科学中的概念包括Python和R语言!

Course content

12 sections • 67 lectures • 3h 21m total length

  • Preview03:29

  • Preview04:01

  • Preview04:33
  • 测量水平
    03:47
  • 分类变量及其可视化技术
    04:52
  • 分类变量和可视化技术练习
    00:00
  • 数值变量和频率分布表使用
    03:09
  • 数值变量和频率分布表使用练习
    00:00
  • 直方图
    02:14
  • 直方图练习
    00:00
  • 交叉表和散点图
    04:44
  • 交叉表和散点图练习
    00:00

  • Preview04:20
  • 均值、中位数和众数练习
    00:00
  • 测量偏斜度
    02:37
  • 偏斜度练习
    00:00
  • 测量数据如何分布:计算方差
    05:55
  • 方差练习
    00:00
  • 标准差和变异系数
    04:40
  • 标准差和变异系数练习
    00:00
  • 计算和理解协方差
    03:23
  • 协方差练习
    00:00
  • 相关系数
    03:17
  • 相关系数练习
    00:00

  • 实际例子
    16:15
  • 实际例子:描述性统计学练习
    00:00

  • 推理统计学导论
    01:00
  • Preview04:33
  • Preview03:54
  • 标准正态分布
    03:30
  • 标准正态分布练习
    00:00
  • 理解中心极限定理
    04:20
  • 标准误差
    01:27

  • 处理估计量和估计值
    03:07
  • 置信区间——帮助决策的宝贵工具
    02:41
  • 计算已知方差总体的置信区间
    08:01
  • 置信区间总体方差已知练习
    00:00
  • 明确置信区间
    04:38
  • Preview03:22
  • 计算未知方差总体的置信区间
    04:36
  • 总体方差未知、T分数练习
    00:00
  • 什么是误差幅度,它为什么很重要?
    04:52

  • 用相关样本计算两个均值的置信区间
    06:04
  • 置信区间、两个均值、相依样本练习
    00:00
  • 用独立样本计算两个均值的置信区间(第一部分)
    04:31
  • 置信区间、两个均值、独立样本(第一部分)练习
    00:00
  • 用独立样本计算两个均值的置信区间(第二部分)
    03:57
  • 置信区间、两个均值、独立样本(第二部分)练习
    00:00
  • 用独立样本计算两个均值的置信区间(第三部分)
    01:27

  • 实际例子:推理统计学
    10:06
  • 实际例子:推理统计学
    00:00

  • Preview05:52
  • 建立否定区域与显著性水平
    07:05
  • I类错误与II类错误
    04:14

Requirements

  • 完全不需要经验 我们将从基础开始 逐步建立你的知识体系 一切都包含在课程当中
  • 学习和实践的意愿

Description

统计学是您想进入的行业的推动力吗? 您想成为营销分析师、商业智能分析师、数据分析师数据科学家吗?

那好,那你来对了地方!

这里为您提供了数据科学和商业分析的统计学,还有Excel表格中的模版。

从这里开始,这是个完美的开始!

你很快就能学到一些基础知识,可以帮助你理解复杂的数据分析,并直接运用到现实生活的情况中。我们的课程有以下特点:

· 通俗易懂

· 容易理解

· 实用性强

· 切中要点

· 配套齐全

· 数据驱动

· 带你进入数据科学的世界

· 教你学会数据可视化

· 向你揭示量化研究的要点

众所周知,上述许多要点已经有许多在线课程讲过成千上万次了。然而,几乎不可能有一个结构化的课程能让你理解,为什么某些特定的统计学检验方法使用的频率这么高。现代软件包和编程语言可以让很多工作自动化,但这门课程将为您提供更有价值的东西——批判思维的能力。计算机和编程语言就像海上的船只。它们会您带到理想目的地,但是你们,有抱负的数据科学家或BI分析师们才是掌舵人,是你们将这些船驶向正确的方向。

教学是我们的热情所在

我们努力了四个多月,创造了最好的统计学课程,为您提供最大的价值。我们希望您取得成功,所以我们的课程会尽可能地吸引人。 高质量的动画、精湛的课程材料、测验问题、讲义、课程笔记,以及涵盖您将学习的所有新术语的词汇表,订阅课程即可获得这些。

本课程与其他的统计学课程的区别在哪里?我们有

· 高质量制作——高清视频和动画(并不是一堆无聊的演讲!)

· 博学的导师(我们的导师是世界顶级的数学家和统计学家)

· 完整的培训——课程将涵盖您成为营销分析师、商业智能分析师、数据分析师或数据科学家所需的所有统计学课题和技能

· 广泛的案例研究将帮助您巩固学到的知识

· 优秀的支持——如果你不理解某个概念或者想联系我们,您将在1个工作日内收到答复

· 动态的安排——我们不想浪费您的时间!导师为整个课程安排了很好的节奏

为什么要学习这些技能?

1. 薪资/收入——数据科学领域的职业是最受当今企业界欢迎的职业。而且,鉴于大多数企业开始意识到使用数据的优势,这种趋势只会继续增长

2. 升职——如果您精通统计学,就能够通过定量证据来支持您的业务创意,这是职业发展的一条简单途径

3. 保障未来——正如我们所说,对理解数字和数据并能够解释数字和数据的人的需求呈指数级增长; 你可能已经听说过,很多工作即将被自动化取代,对不对?那么,数据科学的职业是执行自动化,而不是被自动化

4. 成长——这不是一份无聊的工作。每一天,你都将面临不同的挑战,测试现有的技能 ,要求您学习新的东西

请记住,该课程附带Udemy的30天无条件退款保证。何乐而不为呢?因为我们确信这门课程将为您提供巨大的价值。

让我们一起开始学习吧!

Who this course is for:

  • 想从事数据科学的人
  • 想从事商业智能的人
  • 商业分析师
  • 企业经理人
  • 热衷于数字和数量分析的人
  • 想了解统计学奥义及其在商业世界中的运用的人
  • 想开始学习统计学的人
  • 想学习统计学基础的人

Instructors

365 Careers
Creating opportunities for Business & Finance students
365 Careers
  • 4.5 Instructor Rating
  • 374,469 Reviews
  • 1,277,424 Students
  • 68 Courses

365 Careers is the #1 best-selling provider of finance courses on Udemy. The company’s courses have been taken by more than 1,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.  

Currently, the firm focuses on the following topics on Udemy:  

1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA

2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics

3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing

4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook

5) Blockchain for Business

All of the company’s courses are:  

Pre-scripted  

Hands-on  

Laser-focused  

Engaging  

Real-life tested  

By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.  

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers’ courses are the perfect place to start. 

365 Careers Team
Instructor at Udemy
365 Careers Team
  • 4.5 Instructor Rating
  • 3,196 Reviews
  • 710,465 Students
  • 8 Courses

Iliya Valchanov is an instructor at 365.

The 365 Team is a group of professionals, supporting the courses of 365 Careers. Our trainings intertwine various disciplines from the world of business, finance, economics, management, office productivity, programming, business intelligence (BI), data science, and other related fields. Our objective is to provide students with a top-notch set of practical skills and tools that will allow them to achieve a goal on an even larger scale - quickly become experts in their professional area.

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