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

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Statistical Inference

Starts : 2015-12-07
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.

Statistics

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.

Statistics

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.

Statistics

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

Statistics for Genomic Data Science

Starts : 2015-12-07
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.

Statistics One

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

Statistics One is a comprehensive yet friendly introduction to statistics.

Statistics: Making Sense of Data

Starts : 2013-04-01
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.

Structural Equation Model and its Applications | 结构方程模型及其应用

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

Teaching Statistical Thinking: Part 1 Descriptive Statistics

Starts : 2014-10-06
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.

Text Mining and Analytics

Starts : 2015-06-08
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.

Text Retrieval and Search Engines

Starts : 2015-03-16
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.

The Caltech-JPL Summer School on Big Data Analytics

Starts : 2014-09-02
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.

The Data Scientist’s Toolbox

Starts : 2016-03-07
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.

Understanding the UK's 2015 General Election

Starts : 2015-04-27
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.

Unpredictable? Randomness, Chance and Free Will

Starts : 2014-01-06
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".

Эконометрика (Econometrics)

Starts : 2015-03-02
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.

医学统计学与SPSS软件（基础篇）

Starts : 2014-03-04
Coursera Free Closed [?] Medicine Statistics and Data Analysis

大数据与信息传播 Big Data and Information Dissemination

Starts : 2014-04-01