Courses tagged with "Statistics and Data Analysis" (99)

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Starts : 2015-12-07
No votes
Coursera Free Closed [?] Mathematics English Information Statistics and Data Analysis Tech & Design

Learn how to draw conclusions about populations or scientific truths from data. This is the sixth course in the Johns Hopkins Data Science Course Track.

97 votes
Khan Academy Free Closed [?] Mathematics Computer Science Math and Science Statistics Statistics and Data Analysis

Introduction to statistics. We start with the basics of reading and interpretting data and then build into descriptive and inferential statistics that are typically covered in an introductory course on the subject. Overview of Khan Academy statistics. Statistics intro: mean, median and mode. Constructing a box-and-whisker plot. Sample mean versus population mean.. Variance of a population. Sample variance. Review and intuition why we divide by n-1 for the unbiased sample variance. Simulation showing bias in sample variance. Simulation providing evidence that (n-1) gives us unbiased estimate. Statistics: Standard Deviation. Statistics: Alternate Variance Formulas. Introduction to Random Variables. Probability Density Functions. Binomial Distribution 1. Binomial Distribution 2. Binomial Distribution 3. Binomial Distribution 4. Expected Value: E(X). Expected Value of Binomial Distribution. Poisson Process 1. Poisson Process 2. Introduction to the Normal Distribution. Normal Distribution Excel Exercise. Law of Large Numbers. ck12.org Normal Distribution Problems: Qualitative sense of normal distributions. ck12.org Normal Distribution Problems: Empirical Rule. ck12.org Normal Distribution Problems: z-score. ck12.org Exercise: Standard Normal Distribution and the Empirical Rule. ck12.org: More Empirical Rule and Z-score practice. Central Limit Theorem. Sampling Distribution of the Sample Mean. Sampling Distribution of the Sample Mean 2. Standard Error of the Mean. Sampling Distribution Example Problem. Confidence Interval 1. Confidence Interval Example. Mean and Variance of Bernoulli Distribution Example. Bernoulli Distribution Mean and Variance Formulas. Margin of Error 1. Margin of Error 2. Small Sample Size Confidence Intervals. Hypothesis Testing and P-values. One-Tailed and Two-Tailed Tests. Z-statistics vs. T-statistics. Type 1 Errors. Small Sample Hypothesis Test. T-Statistic Confidence Interval. Large Sample Proportion Hypothesis Testing. Variance of Differences of Random Variables. Difference of Sample Means Distribution. Confidence Interval of Difference of Means. Clarification of Confidence Interval of Difference of Means. Hypothesis Test for Difference of Means. Comparing Population Proportions 1. Comparing Population Proportions 2. Hypothesis Test Comparing Population Proportions. Squared Error of Regression Line. Proof (Part 1) Minimizing Squared Error to Regression Line. Proof Part 2 Minimizing Squared Error to Line. Proof (Part 3) Minimizing Squared Error to Regression Line. Proof (Part 4) Minimizing Squared Error to Regression Line. Regression Line Example. Second Regression Example. R-Squared or Coefficient of Determination. Calculating R-Squared. Covariance and the Regression Line. Correlation and Causality. Chi-Square Distribution Introduction. Pearson's Chi Square Test (Goodness of Fit). Contingency Table Chi-Square Test. ANOVA 1 - Calculating SST (Total Sum of Squares). ANOVA 2 - Calculating SSW and SSB (Total Sum of Squares Within and Between).avi. ANOVA 3 -Hypothesis Test with F-Statistic. Another simulation giving evidence that (n-1) gives us an unbiased estimate of variance. Mean Median and Mode. Range and Mid-range. Reading Pictographs. Reading Bar Graphs. Reading Line Graphs. Reading Pie Graphs (Circle Graphs). Misleading Line Graphs. Stem-and-leaf Plots. Box-and-Whisker Plots. Reading Box-and-Whisker Plots. Statistics: The Average. Statistics: Variance of a Population. Statistics: Sample Variance. Deductive Reasoning 1. Deductive Reasoning 2. Deductive Reasoning 3. Inductive Reasoning 1. Inductive Reasoning 2. Inductive Reasoning 3. Inductive Patterns.

20 votes
Udemy Free Closed [?] Mathematics Computer Science Math and Science Statistics Statistics and Data Analysis

Introduction to statistics. Will eventually cover all of the major topics in a first-year statistics course.

41 votes
Udacity Free Closed [?] Mathematics Beginner Computer Science Math and Science Statistics Statistics and Data Analysis

We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions. San Jose State University

Starts : 2015-12-07
No votes
Coursera Free Closed [?] English Biology & Life Sciences Information Physical & Earth Sciences Statistics and Data Analysis Tech & Design

An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

Starts : 2015-06-01
311 votes
Coursera Free Popular Computer Sciences English Statistics and Data Analysis

Statistics One is a comprehensive yet friendly introduction to statistics.

Starts : 2013-04-01
35 votes
Coursera Free Mathematics English Statistics and Data Analysis

This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world.

Starts : 2015-01-16
28 votes
Coursera Free Closed [?] Mathematics Education Social Sciences Statistics and Data Analysis

在社会学、心理学、教育学、经济学、管理学、市场学等研究领域的数据分析中,结构方程建模是当前最前沿的统计方法中应用最广、研究最多的一个。它包含了方差分析、回归分析、路径分析和因子分析,弥补了传统回归分析和因子分析的不足,可以分析多因多果的联系、潜变量的关系,还可以处理多水平数据和纵向数据,是非常重要的多元数据分析工具。本课程系统地介绍结构方程模型和LISREL软件的应用,内容包括:结构方程分析(包括验证性因子分析)的基本概念、统计原理、在社会科学研究中的应用、常用模型及其LISREL程序、结果的解释和模型评价。学员应具备基本的统计知识(如:标准差、t-检验、相关系数),理解回归分析和因子分析的概念。 注:本课程配套教材为《结构方程模型及其应用》(以LISREL软件为例)。

Starts : 2014-10-06
No votes
Coursera Free Closed [?] English Education Statistics and Data Analysis Teacher Professional Development

We prepare high school teachers for teaching descriptive statistics. Teachers will learn basic principles for summarizing data in meaningful ways. Satellite videos will discuss pedagogy and teach statistical software via examples spanning pop culture, sports, health and other topics suitable for high school classrooms.

Starts : 2015-06-08
No votes
Coursera Free Closed [?] English Artificial Intelligence Computer Science Information Statistics and Data Analysis Tech & Design

Explore algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.

Starts : 2015-03-16
No votes
Coursera Free Closed [?] English Artificial Intelligence Computer Science Information Statistics and Data Analysis Tech & Design

Search engines are essential tools for managing and mining big text data. Learn how search engines work, the major search algorithms, and how to optimize search accuracy.

Starts : 2014-09-02
No votes
Coursera Free English Statistics and Data Analysis

This is an intensive, advanced summer school (in the sense used by scientists) in some of the methods of computational, data-intensive science. It covers a variety of topics from applied computer science and engineering, and statistics, and it requires a strong background in computing, statistics, and data-intensive research.

Starts : 2016-03-07
No votes
Coursera Free Closed [?] Computer Sciences English Statistics and Data Analysis

Get an overview of the data, questions, and tools that data analysts and data scientists work with. This is the first course in the Johns Hopkins Data Science Specialization.

Starts : 2015-04-27
No votes
Coursera Free English Business & Management Humanities Social Sciences Statistics and Data Analysis

Learn about the UK's 2015 general election: how does the system work, what is at stake, and how will it affect you? Whether or not you have a vote, if you want to gain a better understanding of UK polls and political issues, join us for discussion and up-to-date insight before and after polling day.

Starts : 2014-01-06
38 votes
Coursera Free Closed [?] General & Interdisciplinary Studies English Computer Science Physics Statistics and Data Analysis Theory

This cross-disciplinary course deals with the undetermined, the unpredictable- or what appears to be such. Learn about the usefulness of randomness in communication and computation, the intrinsic randomness of quantum phenomena, the unpredictability of the weather, and the implications of the neural activity of the brain on our "free will".

Starts : 2015-03-02
No votes
Coursera Free Closed [?] Russian Economics & Finance Mathematics Statistics and Data Analysis

Мы будем учиться находить и оценивать зависимости в реальных данных, а также визуализировать, интерпретировать и использовать их для прогнозирования. We will learn to identify and estimate relationships in the real data, as well as visualize, interpret and apply them for making predictions.

Starts : 2014-03-04
No votes
Coursera Free Closed [?] Medicine Statistics and Data Analysis

通过本课程的学习,学生能掌握医学统计学的基本方法及SPSS软件的应用技能,培养统计思维能力,并在医学科研工作中能灵活地、正确地运用统计学。

Starts : 2014-04-01
No votes
Coursera Free Computer Sciences Business & Management Social Sciences Statistics and Data Analysis

本课程讨论人、媒介、信息在社会化媒体环境下的新规律。The course introduces students to regular patterns of interaction among people, media and information under our surrounding social media .

Starts : 2015-09-14
No votes
Coursera Free Closed [?] Statistics and Data Analysis

课程的主要目标是:(1)了解流行病学研究过程中,从研究设计、现场数据采集和录入、到数据清理和分析,常用的几种软件包的使用方法;(2)加强研究中对流行病学基础理论知识的灵活应用。

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