# 【2024年】十大統計學課程熱門排行推薦與優惠精選！

## 統計學課程總覽

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 課程資訊 評價 學生 課程描述 1 2 3 4 5 6 7 8 9 10 4.5 分(25,074 個評分) 4.7 分(7,577 個評分) 4.6 分(2,104 個評分) 4.5 分(8,824 個評分) 4.8 分(3,825 個評分) 4.6 分(4,436 個評分) 4.6 分(2,887 個評分) 4.6 分(1,606 個評分) 4.4 分(35 個評分) 5.0 分(13 個評分) 114,292 人人 54,991 人人 50,657 人人 49,069 人人 27,953 人人 22,805 人人 13,962 人人 10,012 人人 176 人人 23 人人 Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions Master applied Statistics with Python by solving real-world problems with state-of-the-art software and libraries Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More! This workshop will teach you the fundamentals of statistics in order to give you a leg up at work or in school. Learn how to apply probability and statistics to real data science and business applications! Plain & Simple Lessons on Descriptive & Inferential Statistics Theory With Excel Examples for Business & Six Sigma A complete guide and use cases study for job seekers and beginners — start career in SAS, Statistics and Data science 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 華魁影音系列課程03

## 統計學課程列表

1

### Statistics for Data Science and Business Analysis

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis

課程老師 365 Careers 4.5 分(25,074 個評分) 114,292 人

#### 課程介紹

Is statistics a driving force in the industry you want to enter? Do you want to work as a Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist?

Well then, you’ve come to the right place!

Statistics for Data Scie

#### 哪些人適合這堂課？

• People who want a career in Data Science
• People who want a career in Business Intelligence
• Individuals who are passionate about numbers and quant analysis
• Anyone who wants to learn the subtleties of Statistics and how it is used in the business world
• People who want to start learning statistics
• People who want to learn the fundamentals of statistics

#### 學習目標

• Understand the fundamentals of statistics
• Learn how to work with different types of data
• How to plot different types of data
• Calculate the measures of central tendency, asymmetry, and variability
• Calculate correlation and covariance
• Distinguish and work with different types of distributions
• Estimate confidence intervals
• Perform hypothesis testing
• Make data driven decisions
• Understand the mechanics of regression analysis
• Carry out regression analysis
• Use and understand dummy variables
• Understand the concepts needed for data science even with Python and R!

2

### Become a Probability & Statistics Master

Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions

課程老師 Krista King 4.7 分(7,577 個評分) 54,991 人

#### 課程介紹

HOW BECOME A PROBABILITY & STATISTICS MASTER IS SET UP TO MAKE COMPLICATED MATH EASY:

This 163-lesson course includes video and text explanations of everything from Probability and Statistics, and it includes 45 quizzes (with solutions!) and an addi

#### 哪些人適合這堂課？

• Current probability and statistics students, or students about to start probability and statistics who are looking to get ahead
• Homeschool parents looking for extra support with probability and statistics
• Anyone who wants to study math for fun after being away from school for a while

#### 學習目標

• Visualizing data, including bar graphs, pie charts, venn diagrams, histograms, and dot plots
• Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
• Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
• Probability, including union vs. intersection and independent and dependent events and Bayes’ theorem
• Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
• Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
• Hypothesis testing, including inferential statistics, significance level, type I and II errors, test statistics, and p-values
• Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square

3

### Python for Statistical Analysis

Master applied Statistics with Python by solving real-world problems with state-of-the-art software and libraries

課程老師 Samuel Hinton 4.6 分(2,104 個評分) 50,657 人

#### 課程介紹

Welcome to Python for Statistical Analysis!

This course is designed to position you for success by diving into the real-world of statistics and data science.

Learn through real-world examples: Instead of sitting through hours of theoretical c

#### 哪些人適合這堂課？

• Data Scientists who want to add to their skillset statistical analysis
• Data Scientists who want to do machine learning but want some more statistical foundations before jumping in
• Students wanting to learn applied statistics for research, coursework or business

#### 學習目標

• Gain deeper insights into data
• Use Python to solve common and complex statistical and Machine Learning-related projects
• How to interpret and visualize outcomes, integrating visual output and graphical exploration
• Learn hypothesis testing and how to efficiently implement tests in Python

4

### Statistics for Business Analytics and Data Science A-Z™

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!

課程老師 Kirill Eremenko 4.5 分(8,824 個評分) 49,069 人

#### 課程介紹

If you are aiming for a career as a Data Scientist or Business Analyst then brushing up on your statistics skills is something you need to do.

But it’s just hard to get started… Learning / re-learning ALL of stats just seems like a daunting task.

#### 哪些人適合這堂課？

• Anybody who wants to master stats for business analytics
• Anybody who wants to learn stats from the ground up
• Anybody who wants to get hands-on experience with stats

#### 學習目標

• Understand what a Normal Distribution is
• Understand standard deviations
• Explain the difference between continuous and discrete variables
• Understand what a sampling distribution is
• Understand the Central Limit Theorem
• Apply the Central Limit Theorem in practice
• Apply Hypothesis Testing for Means
• Apply Hypothesis Testing for Proportions
• Use the Z-Score and Z-Tables
• Use the t-Score and t-Tables
• Understand the difference between a normal distribution and a t-distribution
• Understand and apply statistical significance
• Create confidence intervals
• Understand the potential pitfalls of overusing p-Values

5

### Workshop in Probability and Statistics

This workshop will teach you the fundamentals of statistics in order to give you a leg up at work or in school.

課程老師 George Ingersoll 4.8 分(3,825 個評分) 27,953 人

#### 課程介紹

This workshop is designed to help you make sense of basic probability and statistics with easy-to-understand explanations of all the subject’s most important concepts. Whether you are starting from scratch or if you are in a statistics class and stru

#### 哪些人適合這堂課？

• Current students who are (or will soon be) taking a course in introductory statistics with their home institutions
• People in business who want a better grasp of probability and statistics.

#### 學習目標

• By the end of this workshop you should be able to pass any introductory statistics course
• This workshop will teach you probability, sampling, regression, and decision analysis

6

### Probability and Statistics for Business and Data Science

Learn how to apply probability and statistics to real data science and business applications!

課程老師 Jose Portilla 4.6 分(4,436 個評分) 22,805 人

#### 課程介紹

Welcome to Probability and Statistics for Business and Data Science!

In this course we cover what you need to know about probability and statistics to succeed in business and the data science field!

This practical course will go over theory and imp

#### 哪些人適合這堂課？

• Someone interested in learning how to apply probability and statistics to business or data science

#### 學習目標

• Understand the basics of probability
• Be able to implement basic statistics
• Understand how to use various statistical distributions
• Apply statistical methods and hypothesis testing to business problems
• Understand how regression models work
• Implement one way and two way ANOVA
• Understand Chi Squared Tests
• Be able to understand different types of data

7

### Statistics for Data Analysis Using Excel 2016

Plain & Simple Lessons on Descriptive & Inferential Statistics Theory With Excel Examples for Business & Six Sigma

課程老師 Sandeep Kumar ­ 4.6 分(2,887 個評分) 13,962 人

#### 課程介紹

Start loving data and making sense of it. Leverage the power of MS Excel to make it easy!

Learn statistics, and apply these concepts in your workplace using Microsoft Excel.

This course is about Statistics and Data Analysis. The course will teach y

#### 哪些人適合這堂課？

• Business managers and data analysts who are trying make decision based on data and facts
• Six Sigma Green and Black Belt professionals using MS Excel to conduct statistical analysis

#### 學習目標

• You will learn Descriptive and Inferential Statistics with the help of simple but practical examples.
• You will learn to use the power of Microsoft Excel to perform statistical calculations for you. No need to remember long formulas and equations.
• You will understand statistics from basic to advance level to solve business problems using Microsoft Excel.
• You will learn to make sense out of vast amount of data around you, to make fact based decisions.

8

### Complete & Practical SAS, Statistics & Data Analysis Course

A complete guide and use cases study for job seekers and beginners — start career in SAS, Statistics and Data science

課程老師 Shenggang Li 4.6 分(1,606 個評分) 10,012 人

#### 課程介紹

You should take this course!

• If you need a complete and comprehensive package that covers SAS programming, intuitive statistics interpretation, data analysis, and predictive modeling, and

• If you would like to learn by doing various practical u

#### 哪些人適合這堂課？

• Beginners or job seekers interested in learning SAS Programming, statistical and data analysis in industry fields.
• People who wish to enter data science/analytics field.

#### 學習目標

• Be equipped with a powerful tool for the most sexy data analytics career path!
• Read and write various types of raw data with different formats and options
• Create and modify various professional and statistical reports
• Be aware of statistical analysis and concepts such as non parametric test, interaction, correlation..
• Master the most complete SAS graphics tool such GTL and statistical plots
• Learn comprehensive SAS Macro programming knowledge — variables and user defined functions
• Perform many real world case studies — retail banks, credit bureau, marketing firms and clinical trials
• Apply powerful data manipulation — SQL, subsetting, slicing, filtering, transformation, ranking, sorting..
• Understand data management and data piping
• Use SAS ODS — help deliver many useful objects such as charts, tables between different systems
• Hundreds of SAS sample codes to explain arrays, functions and business cases

9

### 数据科学和商业分析中的统计学

課程老師 365 Careers 4.4 分(35 個評分) 176 人

· 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

#### 哪些人適合這堂課？

• 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

#### 學習目標

• 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！

10

### SPC活用速成及軟體簡介-SPC Quick Learning and Software App. Practice

課程老師 翁田山 Morgan Wun 5.0 分(13 個評分) 23 人

#### 課程介紹

SPC (Statistical Process Control) is the most basic tool for Quality improvement， There are many SPC courses in the outside world，but they are all designed for introductory learners，and the time is too long and calculation exercises are required，Ther

#### 哪些人適合這堂課？

• 針對忙碌的幹部和工程師，期望在最短時間內學習SPC技能， For busy cadres and engineers, expect to learn SPC skills in the shortest time,

#### 學習目標

• 1.熟悉正確的統計技巧和知識 Familiar with correct statistical techniques and knowledge。
• 2.練習使用各種統計應用工具 Practice using various statistical application tools。
• 3.正確認知全檢和抽樣檢驗理論和實務 Correctly recognize the theory and practice of 100% inspection and sampling inspection。
• 4.熟悉如何看系統找穴位和提升製程能力，及解決問題 Familiar with how to look at the system to find acupuncture points, improve process ability and solve problems。

### 從老師查找更多統計學課程

【2024年】十大統計學課程熱門排行推薦與優惠精選！

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