Free Hadoop Tutorial: Master BigData
Posted by Armando Brito Mendes | Filed under lições, materiais ensino, software
BigData is the latest buzzword in the IT Industry. Apache’s Hadoop is a leading Big Data platform used by IT giants Yahoo, Facebook & Google. This course is geared to make a Hadoop Expert.
What should I know?
This is an absolute beginner guide to Hadoop. But knowledge of 1) Java 2) Linux will help
Syllabus
Tutorial | Introduction to BIG DATA: Types, Characteristics & Benefits |
Tutorial | Hadoop Tutorial: Features, Components, Cluster & Topology |
Tutorial | Hadoop Setup Tutorial – Installation & Configuration |
Tutorial | HDFS Tutorial: Read & Write Commands using Java API |
Tutorial | What is MapReduce? How it Works – Hadoop MapReduce Tutorial |
Tutorial | Hadoop & Mapreduce Examples: Create your First Program |
Tutorial | Hadoop MapReduce Tutorial: Counters & Joins with Example |
Tutorial | What is Sqoop? What is FLUME – Hadoop Tutorial |
Tutorial | Sqoop vs Flume vs HDFS in Hadoop |
Tutorial | Create Your First FLUME Program – Beginner’s Tutorial |
Tutorial | Hadoop PIG Tutorial: Introduction, Installation & Example |
Tutorial | Learn OOZIE in 5 Minutes – Hadoop Tutorial |
Tutorial | Big Data Testing: Functional & Performance |
Tutorial | Hadoop & MapReduce Interview Questions & Answers |
Tags: big data
Controlling for test variables
Posted by Armando Brito Mendes | Filed under estatística, lições, materiais ensino, software
alguns apontamentos sobre testes com vars de controlo
3.2 Three (or more) variables
Introducing a third variable. Controlling for test variables. Elaboration.
Logical model is X → Y . T (the effect of X on Y controlling for T) where:
Y = Dependent variable
X = Independent variable
T = Test variable(s)
3.2.1 Elaboration
Tags: inferência, software estatístico
How to create a slicer in Excel
Posted by Armando Brito Mendes | Filed under lições, materiais ensino, materiais para profissionais, software
Bom tutorial de como usar umas das novas funcionalidades do Excel
For dashboards and quick filtering, you can’t beat Excel slicers. They’re easy to implement and even easier to use. Here are the basics–plus a few power tips.
Tags: Excel
Best Data Science Learning podcasts
Posted by Armando Brito Mendes | Filed under lições, materiais ensino, materiais para profissionais, videos
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!
Tags: análise de dados, big data, data mining, desnvolvimento de software, Estat Descritiva, machine learning
Straightforward Statistics Videos
Posted by Armando Brito Mendes | Filed under estatística, lições, materiais ensino, videos
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.
Tags: análise de dados, Estat Descritiva
INTRODUCTORY STATISTICS book
Posted by Armando Brito Mendes | Filed under estatística, lições, materiais ensino
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
Tags: Estat Descritiva, IBM SPSS Statistics, inferência
A New View of Statistics
Posted by Armando Brito Mendes | Filed under estatística, lições, materiais ensino
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/.
Tags: análise de dados, Estat Descritiva, inferência, previsão
HyperStat Online Statistics Textbook
Posted by Armando Brito Mendes | Filed under estatística, lições, materiais ensino
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
- Introduction to Statistics
- Describing Univariate Data
- Describing Bivariate Data
- Introduction to Probability (elementary)
- Normal Distribution
- Sampling Distributions
- Point Estimation
- Confidence Intervals
- The Logic of Hypothesis Testing
- Testing Hypotheses with Standard Errors
- Power
- Introduction to Between-Subjects ANOVA
- Factorial Between-Subjects ANOVA
- Within-Subjects/Repeated Measures ANOVA
- Prediction
- Chi Square
- Distribution-Free Tests
- Measuring Effect Size
© 1993-2013 David M. Lane
Tags: análise de dados, Estat Descritiva
Probability and statistics EBook
Posted by Armando Brito Mendes | Filed under estatística, lições, materiais ensino
Um bom ebook com boas animações
SOCR Books: This is a General Statistics Curriculum E-Book, which includes Advanced-Placement (AP) materials.
Contents
- 1 Preface
- 2 Chapter I: Introduction to Statistics
- 3 Chapter II: Describing, Exploring, and Comparing Data
- 4 Chapter III: Probability
- 5 Chapter IV: Probability Distributions
- 6 Chapter V: Normal Probability Distribution
- 7 Chapter VI: Relations Between Distributions
- 8 Chapter VII: Point and Interval Estimates
- 9 Chapter VIII: Hypothesis Testing
- 10 Chapter IX: Inferences From Two Samples
- 11 Chapter X: Correlation and Regression
- 12 Chapter XI: Analysis of Variance (ANOVA)
- 13 Chapter XII: Non-Parametric Inference
- 13.1 Differences of Medians (Centers) of Two Paired Samples
- 13.2 Differences of Medians (Centers) of Two Independent Samples
- 13.3 Differences of Proportions of Two Samples
- 13.4 Differences of Means of Several Independent Samples
- 13.5 Differences of Variances of Independent Samples (Variance Homogeneity)
- 14 Chapter XIII: Multinomial Experiments and Contingency Tables
- 15 Chapter XIV:Bayesian Statistics
- 16 Chapter XV: Other Common Continuous Distributions
- 16.1 Gamma Distribution
- 16.2 Exponential Distribution
- 16.3 Pareto Distribution
- 16.4 Beta Distribution
- 16.5 Laplace (Double Exponential) Distribution
- 16.6 Cauchy Distribution
- 16.7 Chi-Square Distribution
- 16.8 Fisher’s F Distribution
- 16.9 Johnson SB Distribution
- 16.10 Rice Distribution
- 16.11 Uniform Distribution
- 17 Additional EBook Chapters (under Development)
Tags: análise de dados, Estat Descritiva, inferência
Seeing Statistics
Posted by Armando Brito Mendes | Filed under estatística, lições, materiais ensino, visualização
Uma 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