Best Data Science Learning podcasts

KDnuggets

Muito bons podcasts tem temas introdutórios

We present the top 12 Data Science & Machine Learning related Podcasts by popularity on iTunes. Check out latest episodes to stay up-to-date & become a part of the data conversations!

By Bhavya Geethika Peddibhotla.

Learn Data science the new way by listening to these compelling story tellers, interviewers, educators and experts in the field. Data suggests that podcasting about Data Science is only growing!

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Raynald’s SPSS Tools

Reynald SPSS

Bons recursos sobre SPSS e ligação com R e Pyton

Raynald’s SPSS Tools

The collection of syntaxes, macros, scripts and hints for better solutions of data management and data analysis problems in IBM SPSS Statistics

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Straightforward Statistics Videos

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Montes de vídeos sobre todos os temas abordados em P&E

Video and Multimedia

Click on the following links. Please note these will open in a new window.

Descriptive Versus Inferential Statistics
https://www.youtube.com/watch?v=edEXEyvG4Wk
Illustrates the differential purposes served by descriptive and inferential techniques in conducting statistical analyses.

https://www.youtube.com/watch?v=L6hy1CY-OW4
Practical examples of descriptive and inferential statistics

https://www.youtube.com/watch?v=be9e-Q-jC-0
Simple Random Sampling, Convenience Sampling, Systematic Sampling, Cluster Sampling, Stratified Sampling

Types of Variables
https://www.youtube.com/watch?v=hZxnzfnt5v8
Describes the concepts of; a) unit of observation and b) variables and consequently the differences amongst the three major levels of measurement of variables, nominal, ordinal and interval/ratio.

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INTRODUCTORY STATISTICS book

http://www.psychstat.missouristate.edu/IntroBook3/sbk.htm

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Um webBook sobre estatística com exercícios e exemplos em SPSS

INTRODUCTORY STATISTICS:
CONCEPTS, MODELS, AND APPLICATIONS

3rd Web Edition

David W. Stockburger

Missouri State University

@Copyright 2013 by David W. Stockburger

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Research Methods Knowledge Base

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Um webBook pensado para investigadores sobre temas de estatística

What is the Research Methods Knowledge Base?

The Research Methods Knowledge Base is a comprehensive web-based textbook that addresses all of the topics in a typical introductory undergraduate or graduate course in social research methods.  It covers the entire research process including: formulating research questions; sampling (probability and nonprobability); measurement (surveys, scaling, qualitative, unobtrusive); research design (experimental and quasi-experimental); data analysis; and, writing the research paper.  It also addresses the major theoretical and philosophical underpinnings of research including: the idea of validity in research; reliability of measures; and ethics.  The Knowledge Base was designed to be different from the many typical commercially-available research methods texts.  It uses an informal, conversational style to engage both the newcomer and the more experienced student of research.  It is a fully hyperlinked text that can be integrated easily into an existing course structure or used as a sourcebook for the experienced researcher who simply wants to browse.

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A New View of Statistics

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Um webBook com montes de temas bem explicados

Mar 2013. Coming very soon: a slideshow and Excel workbook for an introductory course of 10 lectures on statistics. Aug 2011. Check out the following 2010 articles at Sportscience: assigning subjects to treatments in a controlled trial; regression vs limits of agreement in measure-comparison studies; magnitudes of effects derived from linear models. See the frame at right for links to much more, including the progressive statistics and research design articles. Previous updates…
New original approaches to statistics for researchers: the examples are taken from exercise and sport science, but the principles apply to all empirical sciences. Read more in the preface.
Feedback wanted: if you can’t understand something here, it’s my fault. Email me.
Become a license holder…eventually! Not yet. More…
Full Contents
Short Contents:
Preface: About These Pages
Summarizing Data
Simple Statistics & Effect Statistics
Dimension Reduction
Precision of Measurement
Generalizing to a Population
Confidence Limits & Statistical Significance
Statistical Models
Estimating Sample Size
Summary: The Most Important Points
Quiz
Reference: Hopkins, W. G. (2000). A new view of statistics. Internet Society for Sport Science: http://www.sportsci.org/resource/stats/.

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HyperStat Online Statistics Textbook

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Mais um eBook com montes de links para outros recursos

RVLS Home | Glossary | Free Statistical Analysis Tools | Instructional Demos | Exercises and Problems | Statistics Help | Privacy policy

Contents

  1. Introduction to Statistics
  2. Describing Univariate Data
  3. Describing Bivariate Data
  4. Introduction to Probability (elementary)
  5. Normal Distribution
  6. Sampling Distributions
  7. Point Estimation
  8. Confidence Intervals
  9. The Logic of Hypothesis Testing
  10. Testing Hypotheses with Standard Errors
  11. Power
  12. Introduction to Between-Subjects ANOVA
  13. Factorial Between-Subjects ANOVA
  14. Within-Subjects/Repeated Measures ANOVA
  15. Prediction
  16. Chi Square
  17. Distribution-Free Tests
  18. Measuring Effect Size

© 1993-2013 David M. Lane

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Probability and statistics EBook

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Um bom ebook com boas animações

SOCR Books: This is a General Statistics Curriculum E-Book, which includes Advanced-Placement (AP) materials.

Contents

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Seeing Statistics

clique na imagem para seguir o linkUma excelente maneira de aprender estatística com um webBook dinâmico e muito visual

Seeing Statistics ® is a new approach to teaching statistics using the World Wide Web. This webbook is based on three premises:

  • The important principles of statistics are remarkably easy if they can be seen.
  • Active involvement of the student facilitates learning.
  • Statistics can be fun!

Most of the graphs and figures in this textbook are dynamic and under the  control of the reader. Interacting with the graphs allows you to see the important statistical principles in action.

Rather than talk about it, it is best to view Seeing Statistics in action. To access Seeing Statistics, click on the “Enter Seeing Statistics” button to begin your exploration of Seeing Statistics!

Table of Contents
0. Introduction

1. Data & Comparisons

2. Seeing Data

3. Describing the Center

4. Describing the Spread

5. Seeing Data, Again

6. Probability

7. Normal Distribution
7. Outline

7.0 Introduction

7.1 Origins of Normal

7.2 Size and Shape

7.3 Working with the Normal

7.4 Means have Normal Distributions

7.5 Evaluating Normality (optional)

7.6 Review

7.7 Exercises


8. Inference & Confidence

9. One-Sample Comparisons

10. Two-Sample Comparisons

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SurfStat

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Um bom livro on-line com apps e muito mais…

SURFSTAT australia
This site has already benefited from the contributions of many people. Please do your bit and let us know of errors, missing topics or things you think could be better explained.

Detailed contents
An introduction to Statistics

Textbooks
Hotlist for Java applets
Exercises

Other Statistics sites
S.P.I.M

Sales and support
Licence
Funding acknowledgements


Summarising & Presenting Data


Producing Data


Variation and Probability


Statistical Inference


Control Charts

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