🎯 Sampling Methods

A methodological exploration of how researchers select subsets from larger populations, balancing statistical rigor with practical constraints to draw meaningful conclusions.

Practical Statistics for Data Scientists

by Peter Bruce • 2017

The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.

4.02

545

🛠️ Practical Data Science 📈 Applied Statistics 🔍 Exploratory Data Analysis 🎓 Statistical Inference 🔄 Resampling Methods

Practical Statistics for Data Scientists Summary

Practical Statistics for Data Scientists 90%

The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.

by Peter Bruce 2017

4.02

545 ratings

🛠️ Practical Data Science 📈 Applied Statistics 🔍 Exploratory Data Analysis 🎓 Statistical Inference 🔄 Resampling Methods

Research Methodology

by C.R. Kothari • 1985

The gap between a research question and a publishable finding, bridged step by step.

3.88

306

🧪 Research Methodology 📊 Quantitative Methods 📐 Research Design 🔬 Hypothesis Testing 📈 Multivariate Analysis

Research Methodology 90%

The gap between a research question and a publishable finding, bridged step by step.

by C.R. Kothari 1985

3.88

306 ratings

🧪 Research Methodology 📊 Quantitative Methods 📐 Research Design 🔬 Hypothesis Testing 📈 Multivariate Analysis

The Art of Statistics

by David Spiegelhalter • 2019

Numbers are mute. How statisticians make them speak, and why p-values and correlation aren't enough.

4.15

6k+

🧮 Statistical Literacy 🔗 Causal Inference 🎲 Bayesian Methods 🔬 Reproducibility Crisis ⚖️ Data Ethics

The Art of Statistics 88%

Numbers are mute. How statisticians make them speak, and why p-values and correlation aren't enough.

by David Spiegelhalter 2019

4.15

6k+ ratings

🧮 Statistical Literacy 🔗 Causal Inference 🎲 Bayesian Methods 🔬 Reproducibility Crisis ⚖️ Data Ethics

Qualitative Research Methods

by Sarah J. Tracy • 2012

From first interview to final write-up, the methods, ethics, and craft of research that matters.

3.94

📋 Qualitative Methodology 🔬 Social Research Methods ⚖️ Research Ethics 🌍 Ethnographic Fieldwork 🎙️ Interview Methods

Qualitative Research Methods 88%

From first interview to final write-up, the methods, ethics, and craft of research that matters.

by Sarah J. Tracy 2012

3.94

69 ratings

📋 Qualitative Methodology 🔬 Social Research Methods ⚖️ Research Ethics 🌍 Ethnographic Fieldwork 🎙️ Interview Methods

Tricks of the Trade

by Howard S. Becker • 1998

How master researchers turn the cases that break their theories into their best proof.

4.06

405

🔬 Qualitative Methods 🔍 Analytic Induction ⚠️ Deviant Cases 🧱 Concept Formation 🧠 Logic Of Inquiry

Tricks of the Trade 88%

How master researchers turn the cases that break their theories into their best proof.

by Howard S. Becker 1998

4.06

405 ratings

🔬 Qualitative Methods 🔍 Analytic Induction ⚠️ Deviant Cases 🧱 Concept Formation 🧠 Logic Of Inquiry

Focus Groups

by Richard A. Krueger • 1988

How to plan, moderate, and analyze focus groups that yield real insights, not polite conversation.

3.84

128

🧪 Qualitative Research 📋 Research Methods 🎙️ Interview Methods 📊 Qualitative Data Analysis 📈 Program Evaluation

Focus Groups 88%

How to plan, moderate, and analyze focus groups that yield real insights, not polite conversation.

by Richard A. Krueger 1988

3.84

128 ratings

🧪 Qualitative Research 📋 Research Methods 🎙️ Interview Methods 📊 Qualitative Data Analysis 📈 Program Evaluation

Naked Statistics

by Charles Wheelan • 2012

Statistics explained so well you'll stop fearing the numbers and start questioning the headlines.

3.96

15k+

🧮 Statistical Literacy 🔬 Popular Science 🔗 Causal Reasoning 🎲 Probability Thinking ⚠️ Statistical Pitfalls

Naked Statistics 88%

Statistics explained so well you'll stop fearing the numbers and start questioning the headlines.

by Charles Wheelan 2012

3.96

15k+ ratings

🧮 Statistical Literacy 🔬 Popular Science 🔗 Causal Reasoning 🎲 Probability Thinking ⚠️ Statistical Pitfalls

The Math of Life and Death

by Kit Yates • 2019

Key mathematical ideas govern medicine, law, and media, and your intuition gets each one wrong.

3.90

2k+

The Math of Life and Death 88%

Key mathematical ideas govern medicine, law, and media, and your intuition gets each one wrong.

by Kit Yates 2019

3.90

2k+ ratings

Market Research in Practice

by Paul N. Hague • 1992

Why most market research gathers dust and how to produce findings that managers actually use.

3.93

🔍 Market Research 💡 Consumer Insights 📋 Survey Design ✍️ Questionnaire Design 🗣️ Qualitative Research

Market Research in Practice 88%

Why most market research gathers dust and how to produce findings that managers actually use.

by Paul N. Hague 1992

3.93

15 ratings

🔍 Market Research 💡 Consumer Insights 📋 Survey Design ✍️ Questionnaire Design 🗣️ Qualitative Research

So lügt man mit Statistik

by Walter Krämer • 1991

Precision, percentages, and pretty charts: a catalog of ways statistics are rigged to mislead you.

3.74

136

📊 Statistical Literacy 🎭 Data Manipulation 🧠 Cognitive Biases 🗞️ Media Criticism 📉 Misleading Charts

So lügt man mit Statistik 88%

Precision, percentages, and pretty charts: a catalog of ways statistics are rigged to mislead you.

by Walter Krämer 1991

3.74

136 ratings

📊 Statistical Literacy 🎭 Data Manipulation 🧠 Cognitive Biases 🗞️ Media Criticism 📉 Misleading Charts

Research methods and Statistics in Psychology

by Hugh Coolican • 1990

How to move from hunches to evidence: the full cycle of psychological research, statistics and all.

3.84

194

📊 Psychological Research 📋 Research Methods 🧪 Experimental Design 📝 Qualitative Methods 🛡️ Research Ethics

Research methods and Statistics in Psychology Summary

Research methods and Statistics in Psychology 88%

How to move from hunches to evidence: the full cycle of psychological research, statistics and all.

by Hugh Coolican 1990

3.84

194 ratings

📊 Psychological Research 📋 Research Methods 🧪 Experimental Design 📝 Qualitative Methods 🛡️ Research Ethics

The Numbers Game

by Michael Blastland • 2008

Most numbers in the news mislead you; a few mental habits reveal the real story.

3.65

344

📊 Statistical Literacy 📈 Data Interpretation 🤨 Media Skepticism ⚠️ Risk Perception 🎲 Probability

The Numbers Game 88%

Most numbers in the news mislead you; a few mental habits reveal the real story.

by Michael Blastland 2008

3.65

344 ratings

📊 Statistical Literacy 📈 Data Interpretation 🤨 Media Skepticism ⚠️ Risk Perception 🎲 Probability

Think Stats

by Allen B. Downey • 2011

Statistics taught through code: why simulation and real data beat memorization every time.

3.64

469

💻 Computational Statistics 🔍 Exploratory Data Analysis 🐍 Python Data Analysis 📊 Statistical Modeling 🎲 Hypothesis Testing

Think Stats 88%

Statistics taught through code: why simulation and real data beat memorization every time.

by Allen B. Downey 2011

3.64

469 ratings

💻 Computational Statistics 🔍 Exploratory Data Analysis 🐍 Python Data Analysis 📊 Statistical Modeling 🎲 Hypothesis Testing

A Mathematician Reads the Newspaper

by John Allen Paulos • 1997

The morning paper rests on hidden math. A mathematician reveals the numbers that change the story.

3.60

1k+

A Mathematician Reads the Newspaper Summary

A Mathematician Reads the Newspaper 87%

The morning paper rests on hidden math. A mathematician reveals the numbers that change the story.

by John Allen Paulos 1997

3.60

1k+ ratings

Doing Rapid Qualitative Research

by Cecilia Vindrola-Padros • 2021

Fast enough for policy, deep enough for skeptics: qualitative methods that deliver both.

5.00

🧪 Qualitative Methods ⚡ Rapid Evaluation 📊 Program Evaluation 🔄 Iterative Analysis 👥 Team-Based Research

Doing Rapid Qualitative Research Summary

Doing Rapid Qualitative Research 87%

Fast enough for policy, deep enough for skeptics: qualitative methods that deliver both.

by Cecilia Vindrola-Padros 2021

5.00

1 ratings

🧪 Qualitative Methods ⚡ Rapid Evaluation 📊 Program Evaluation 🔄 Iterative Analysis 👥 Team-Based Research

Practical Statistics for Data Scientists

by Peter Bruce • 2020

The statistics data scientists actually use, from EDA to ensembles, with working R and Python code.

4.21

261

📊 Statistical Computing 🔍 Exploratory Data Analysis 📐 Statistical Inference 🔄 Resampling Methods 📈 Regression Modeling

Practical Statistics for Data Scientists 87%

The statistics data scientists actually use, from EDA to ensembles, with working R and Python code.

by Peter Bruce 2020

4.21

261 ratings

📊 Statistical Computing 🔍 Exploratory Data Analysis 📐 Statistical Inference 🔄 Resampling Methods 📈 Regression Modeling

Shape

by Jordan Ellenberg • 2021

Geometry is not about triangles. It is the hidden structure of pandemics, search, and democracy.

3.73

2k+

Shape 87%

Geometry is not about triangles. It is the hidden structure of pandemics, search, and democracy.

by Jordan Ellenberg 2021

3.73

2k+ ratings

Statistics 101

by David Borman • 2018

A single-volume stats class: summarize data, test hunches, and build forecasts, minus the jargon.

2.94

147

📊 Introductory Statistics 📈 Data Analysis 🧐 Statistical Literacy 🎲 Probability 📉 Data Visualization

Statistics 101 87%

A single-volume stats class: summarize data, test hunches, and build forecasts, minus the jargon.

by David Borman 2018

2.94

147 ratings

📊 Introductory Statistics 📈 Data Analysis 🧐 Statistical Literacy 🎲 Probability 📉 Data Visualization

The Seven Deadly Sins of Psychology

by Chris Chambers • 2017

How psychology's methods enable bias, fraud, and shaky results, and the reform that could fix them.

4.41

268

🔬 Research Methods 🔄 Replication Crisis 🔓 Open Science 🚫 Research Misconduct 📊 Data Manipulation

The Seven Deadly Sins of Psychology Summary

The Seven Deadly Sins of Psychology 87%

How psychology's methods enable bias, fraud, and shaky results, and the reform that could fix them.

by Chris Chambers 2017

4.41

268 ratings

🔬 Research Methods 🔄 Replication Crisis 🔓 Open Science 🚫 Research Misconduct 📊 Data Manipulation

Research Design

by John W. Creswell • 1994

Align your philosophy, design, and methods into a single coherent research blueprint.

3.82

3k+

📐 Research Design ✍️ Proposal Writing 🔀 Mixed Methods Research 🗣️ Qualitative Inquiry 📊 Quantitative Methods

Research Design 87%

Align your philosophy, design, and methods into a single coherent research blueprint.

by John W. Creswell 1994

3.82

3k+ ratings

📐 Research Design ✍️ Proposal Writing 🔀 Mixed Methods Research 🗣️ Qualitative Inquiry 📊 Quantitative Methods

The Elements of Statistical Learning

by Trevor Hastie • 2001

The unified mathematical engine under linear regression, trees, and neural nets.

4.43

2k+

📊 Statistical Learning 🎯 Supervised Learning ✅ Model Evaluation 🤝 Ensemble Learning ⚖️ Regularization Methods

The Elements of Statistical Learning Summary

The Elements of Statistical Learning 87%

The unified mathematical engine under linear regression, trees, and neural nets.

by Trevor Hastie 2001

4.43

2k+ ratings

📊 Statistical Learning 🎯 Supervised Learning ✅ Model Evaluation 🤝 Ensemble Learning ⚖️ Regularization Methods

How to Read Numbers

by Tom Chivers • 2021

Missing denominators, tiny samples, and the WWII plane error that bends every news stat.

4.32

478

📊 Statistical Literacy 📰 Media Skepticism ⚠️ Risk Literacy 🧩 Causal Reasoning 🧠 Cognitive Biases

How to Read Numbers 87%

Missing denominators, tiny samples, and the WWII plane error that bends every news stat.

by Tom Chivers 2021

4.32

478 ratings

📊 Statistical Literacy 📰 Media Skepticism ⚠️ Risk Literacy 🧩 Causal Reasoning 🧠 Cognitive Biases

Statistics for Dummies

by Deborah J. Rumsey • 2003

The numbers behind the headline, the margin of error they hid, and how to spot the difference.

3.66

667

📊 Statistical Literacy 📈 Data Interpretation 🔍 Bias Detection 🎲 Probability Basics 📐 Applied Statistics

Statistics for Dummies 87%

The numbers behind the headline, the margin of error they hid, and how to spot the difference.

by Deborah J. Rumsey 2003

3.66

667 ratings

📊 Statistical Literacy 📈 Data Interpretation 🔍 Bias Detection 🎲 Probability Basics 📐 Applied Statistics

Rage Inside the Machine

by Robert Elliott Smith • 2019

Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.

3.97

145

🧩 Algorithmic Bias 🤖 AI Ethics 💻 Tech Criticism 🎲 History Of Probability 🕸️ Complex Systems

Rage Inside the Machine 87%

Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.

by Robert Elliott Smith 2019

3.97

145 ratings

🧩 Algorithmic Bias 🤖 AI Ethics 💻 Tech Criticism 🎲 History Of Probability 🕸️ Complex Systems

The Data Detective

by Tim Harford • 2020

Your emotions react to statistics before your brain does. Ten rules for getting the numbers right.

4.12

8k+

🧮 Statistical Literacy 🔍 Data Skepticism 🧠 Motivated Reasoning 📊 Data Visualization 🤖 Algorithmic Accountability

The Data Detective 87%

Your emotions react to statistics before your brain does. Ten rules for getting the numbers right.

by Tim Harford 2020

4.12

8k+ ratings

🧮 Statistical Literacy 🔍 Data Skepticism 🧠 Motivated Reasoning 📊 Data Visualization 🤖 Algorithmic Accountability

Damned Lies and Statistics

by Joel Best • 1998

Every statistic conceals a choice: what to count, what to ignore, and whose agenda it serves.

3.72

830

📊 Statistical Literacy 📰 Media Criticism 🏗️ Social Constructionism 🔍 Data Skepticism 🧠 Critical Thinking

Damned Lies and Statistics 87%

Every statistic conceals a choice: what to count, what to ignore, and whose agenda it serves.

by Joel Best 1998

3.72

830 ratings

📊 Statistical Literacy 📰 Media Criticism 🏗️ Social Constructionism 🔍 Data Skepticism 🧠 Critical Thinking

AIQ

by Nick Polson • 2018

What a 19th-century nurse and a lost submarine reveal about the algorithms that now run your life.

4.15

742

🤖 Ai Explainers 📊 History Of Statistics 🎲 Bayesian Thinking 🔮 Prediction And Forecasting 🤝 Human-Machine Collaboration

AIQ 87%

What a 19th-century nurse and a lost submarine reveal about the algorithms that now run your life.

by Nick Polson 2018

4.15

742 ratings

🤖 Ai Explainers 📊 History Of Statistics 🎲 Bayesian Thinking 🔮 Prediction And Forecasting 🤝 Human-Machine Collaboration

The Art of Doing Science and Engineering

by Richard W. Hamming • 1996

What separates great scientists from good ones: they pick better problems.

4.18

2k+

🧠 Scientific Thinking ⚙️ Engineering Practice 💻 Computational Thinking 🔬 Research Methods 🔗 Interdisciplinary

The Art of Doing Science and Engineering Summary

The Art of Doing Science and Engineering 87%

What separates great scientists from good ones: they pick better problems.

by Richard W. Hamming 1996

4.18

2k+ ratings

🧠 Scientific Thinking ⚙️ Engineering Practice 💻 Computational Thinking 🔬 Research Methods 🔗 Interdisciplinary

Practical Time Series Analysis

by Aileen Nielsen • 2019

When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.

3.77

📈 Time Series Analysis 🔧 Feature Engineering 🧹 Data Preparation ⚙️ Machine Learning Pipelines 📊 Statistical Learning

Practical Time Series Analysis 87%

When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.

by Aileen Nielsen 2019

3.77

64 ratings

📈 Time Series Analysis 🔧 Feature Engineering 🧹 Data Preparation ⚙️ Machine Learning Pipelines 📊 Statistical Learning

Numbers Rule Your World

by Fung • 2010

Statistics reveals why lines feel shorter, credit scores work, and safe airlines are an illusion.

3.56

1k+

📊 Statistical Literacy 📈 Data Interpretation 🎲 Probability Thinking ⚠️ Risk Perception 📉 Beyond Averages

Numbers Rule Your World 87%

Statistics reveals why lines feel shorter, credit scores work, and safe airlines are an illusion.

by Fung 2010

3.56

1k+ ratings

📊 Statistical Literacy 📈 Data Interpretation 🎲 Probability Thinking ⚠️ Risk Perception 📉 Beyond Averages

Becoming a Data Head

by Alex J. Gutman • 2021

The critical thinking toolkit for anyone who works with data but never plans to code.

4.18

480

📊 Data Literacy 📈 Business Analytics 🧠 Statistical Thinking 🔍 Data Skepticism 🤖 Machine Learning Basics

Becoming a Data Head 87%

The critical thinking toolkit for anyone who works with data but never plans to code.

by Alex J. Gutman 2021

4.18

480 ratings

📊 Data Literacy 📈 Business Analytics 🧠 Statistical Thinking 🔍 Data Skepticism 🤖 Machine Learning Basics

Dataclysm

by Christian Rudder • 2014

Big data from dating sites and social media exposes the uncomfortable truths we hide from ourselves.

3.73

12k+

📊 Big Data 💘 Online Dating 🖥️ Digital Anthropology 👣 Digital Footprints 🎭 Online Identity

Dataclysm 87%

Big data from dating sites and social media exposes the uncomfortable truths we hide from ourselves.

by Christian Rudder 2014

3.73

12k+ ratings

📊 Big Data 💘 Online Dating 🖥️ Digital Anthropology 👣 Digital Footprints 🎭 Online Identity

Liquid Surveillance

by Zygmunt Bauman • 2012

Surveillance has gone from prison tower to loyalty card: fluid, seductive, and nearly invisible.

3.80

490

👁️ Surveillance Studies 🔒 Digital Privacy 🏛️ Post-Panoptic Theory 📊 Social Sorting ⚙️ Technological Determinism

Liquid Surveillance 87%

Surveillance has gone from prison tower to loyalty card: fluid, seductive, and nearly invisible.

by Zygmunt Bauman 2012

3.80

490 ratings

👁️ Surveillance Studies 🔒 Digital Privacy 🏛️ Post-Panoptic Theory 📊 Social Sorting ⚙️ Technological Determinism

How Data Happened

by Chris Wiggins • 2023

Data was never neutral. How statistics went from serving kings to fueling the attention economy.

3.54

467

🧮 History Of Statistics 🏛️ Data And Society ⚖️ Data Ethics 👁️ Surveillance Capitalism 📊 Algorithmic Bias

How Data Happened 87%

Data was never neutral. How statistics went from serving kings to fueling the attention economy.

by Chris Wiggins 2023

3.54

467 ratings

🧮 History Of Statistics 🏛️ Data And Society ⚖️ Data Ethics 👁️ Surveillance Capitalism 📊 Algorithmic Bias

Rational Choice and Security Studies

by Michael E. Brown • 2000

Two visions of political science: one builds mathematical temples, the other wants to stop war.

3.78

🔒 Security Studies 🧮 Rational Choice ⚔️ Methodology Wars 🔬 Philosophy Of Science 📐 Formal Modeling

Rational Choice and Security Studies Summary

Rational Choice and Security Studies 87%

Two visions of political science: one builds mathematical temples, the other wants to stop war.

by Michael E. Brown 2000

3.78

9 ratings

🔒 Security Studies 🧮 Rational Choice ⚔️ Methodology Wars 🔬 Philosophy Of Science 📐 Formal Modeling

Robin Hood Math

by Noah Giansiracusa • 2025

Algorithms price your insurance, rank your resume, curate your reality. The math that fights back.

3.91

185

🧮 Algorithmic Literacy 🛡️ Digital Self-Defense 📐 Applied Mathematics 📊 Bayesian Reasoning 📉 Everyday Statistics

Robin Hood Math 87%

Algorithms price your insurance, rank your resume, curate your reality. The math that fights back.

by Noah Giansiracusa 2025

3.91

185 ratings

🧮 Algorithmic Literacy 🛡️ Digital Self-Defense 📐 Applied Mathematics 📊 Bayesian Reasoning 📉 Everyday Statistics

Information Is Beautiful

by David McCandless • 2001

Concept is the secret: why a simple, clever data drawing can reveal more than a supercomputer.

4.12

4k+

📊 Data Visualization 🎨 Data Art 👁️ Visual Literacy 🌊 Information Overload 🔍 Everyday Patterns

Information Is Beautiful 87%

Concept is the secret: why a simple, clever data drawing can reveal more than a supercomputer.

by David McCandless 2001

4.12

4k+ ratings

📊 Data Visualization 🎨 Data Art 👁️ Visual Literacy 🌊 Information Overload 🔍 Everyday Patterns

Big Data

by Viktor Mayer-Schönberger • 2013

The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.

3.69

9k+

💰 Data As Asset 📈 Predictive Analytics 🧹 Imperfect Data 🌐 Quantified World 🔗 Correlation Analysis

Big Data 87%

The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.

by Viktor Mayer-Schönberger 2013

3.69

9k+ ratings

💰 Data As Asset 📈 Predictive Analytics 🧹 Imperfect Data 🌐 Quantified World 🔗 Correlation Analysis

The Tiger That Isn't

by Michael Blastland • 2007

A 40% increase sounds alarming. Should it? The simple questions that make numbers tell the truth.

3.91

670

🧮 Statistical Literacy 🔍 Data Skepticism ⚠️ Risk Assessment 📏 Metric Fixation 🧠 Cognitive Biases

The Tiger That Isn't 87%

A 40% increase sounds alarming. Should it? The simple questions that make numbers tell the truth.

by Michael Blastland 2007

3.91

670 ratings

🧮 Statistical Literacy 🔍 Data Skepticism ⚠️ Risk Assessment 📏 Metric Fixation 🧠 Cognitive Biases

Bursts

by Albert-László Barabási • 2010

Why your email bursts, your travels repeat, and history rhymes: one hidden law of priority.

3.30

1k+

🕸️ Complex Systems 🔗 Network Science 📉 Power Laws ✅ Task Prioritization 🔐 Data And Privacy

Bursts 87%

Why your email bursts, your travels repeat, and history rhymes: one hidden law of priority.

by Albert-László Barabási 2010

3.30

1k+ ratings

🕸️ Complex Systems 🔗 Network Science 📉 Power Laws ✅ Task Prioritization 🔐 Data And Privacy

Calculated Risks

by Gerd Gigerenzer • 2002

How to tell when a percentage misleads you, and the reframing that reveals the truth.

3.96

671

📊 Statistical Literacy ⚠️ Risk Communication 🧠 Cognitive Biases 🩺 Medical Decision Making 🎲 Bayesian Reasoning

Calculated Risks 87%

How to tell when a percentage misleads you, and the reframing that reveals the truth.

by Gerd Gigerenzer 2002

3.96

671 ratings

📊 Statistical Literacy ⚠️ Risk Communication 🧠 Cognitive Biases 🩺 Medical Decision Making 🎲 Bayesian Reasoning

SPSS Survival Manual

by Julie Pallant • 2001

Your SPSS survival guide: plain-English steps from data entry to ANOVA, no stats panic required.

4.11

372

💻 Statistical Software 📋 Research Methods 📏 Scale Development 📈 Regression Analysis 🧩 Factor Analysis

SPSS Survival Manual 87%

Your SPSS survival guide: plain-English steps from data entry to ANOVA, no stats panic required.

by Julie Pallant 2001

4.11

372 ratings

💻 Statistical Software 📋 Research Methods 📏 Scale Development 📈 Regression Analysis 🧩 Factor Analysis

Everybody Lies

by Seth Stephens-Davidowitz • 2017

Google searches expose the racism, fear, and desire that surveys and social media carefully hide.

3.91

43k+

📊 Big Data 🖥️ Digital Behavior 🙈 Hidden Bias 🧠 Behavioral Economics 🔍 Revealed Preferences

Everybody Lies 87%

Google searches expose the racism, fear, and desire that surveys and social media carefully hide.

by Seth Stephens-Davidowitz 2017

3.91

43k+ ratings

📊 Big Data 🖥️ Digital Behavior 🙈 Hidden Bias 🧠 Behavioral Economics 🔍 Revealed Preferences

Doing Data Science

by Cathy O'Neil • 2013

Your model is lying to you. The ninety percent of data science that algorithms won't fix.

3.73

567

📊 Data Science 📈 Statistical Thinking 🧹 Data Wrangling 🔧 Feature Engineering 🔗 Causal Inference

Doing Data Science 87%

Your model is lying to you. The ninety percent of data science that algorithms won't fix.

by Cathy O'Neil 2013

3.73

567 ratings

📊 Data Science 📈 Statistical Thinking 🧹 Data Wrangling 🔧 Feature Engineering 🔗 Causal Inference

Standard Deviations

by Gary Smith • 2014

Tortured data, seductive charts, and the cognitive bugs that turn noise into insight.

3.95

911

📊 Statistical Literacy 🧠 Cognitive Biases 📉 Data Visualization 🔬 Scientific Skepticism 🔗 Causal Inference

Standard Deviations 87%

Tortured data, seductive charts, and the cognitive bugs that turn noise into insight.

by Gary Smith 2014

3.95

911 ratings

📊 Statistical Literacy 🧠 Cognitive Biases 📉 Data Visualization 🔬 Scientific Skepticism 🔗 Causal Inference

A Survival Guide to the Misinformation Age

by David J. Helfand • 2016

Mental tools from science that let you gut-check any claim yourself, no search engine required.

3.71

220

🧪 Scientific Literacy 🔍 Misinformation Defense 🔢 Quantitative Reasoning 🎲 Probability Thinking 🔬 Scientific Method

A Survival Guide to the Misinformation Age Summary

A Survival Guide to the Misinformation Age 87%

Mental tools from science that let you gut-check any claim yourself, no search engine required.

by David J. Helfand 2016

3.71

220 ratings

🧪 Scientific Literacy 🔍 Misinformation Defense 🔢 Quantitative Reasoning 🎲 Probability Thinking 🔬 Scientific Method

How to Measure Anything

by Douglas W. Hubbard • 1985

That thing you call immeasurable? Redefine measurement; the toolkit is simpler than anyone admits.

3.90

4k+

🧮 Business Analytics 📊 Decision Analysis 🔢 Statistical Thinking 🎯 Uncertainty Reduction 🔄 Bayesian Reasoning

How to Measure Anything 87%

That thing you call immeasurable? Redefine measurement; the toolkit is simpler than anyone admits.

by Douglas W. Hubbard 1985

3.90

4k+ ratings

🧮 Business Analytics 📊 Decision Analysis 🔢 Statistical Thinking 🎯 Uncertainty Reduction 🔄 Bayesian Reasoning

The Model Thinker

by Scott E. Page • 2018

Big data without many models is just noise. The case for thinking through multiple frameworks.

3.92

955

🧠 Mental Models 🔄 Systems Thinking 🌀 Complexity Science 📊 Quantitative Reasoning 🕸️ Network Theory

The Model Thinker 87%

Big data without many models is just noise. The case for thinking through multiple frameworks.

by Scott E. Page 2018

3.92

955 ratings

🧠 Mental Models 🔄 Systems Thinking 🌀 Complexity Science 📊 Quantitative Reasoning 🕸️ Network Theory

Sex by Numbers

by David Spiegelhalter • 2015

Sex surveys are performances. A statistician reveals what the data hides about modern desire.

3.84

213

🔄 Modern Sexuality 🔬 Sex Research 💥 Debunking Myths 📊 Statistical Literacy 📈 Popular Statistics

Sex by Numbers 87%

Sex surveys are performances. A statistician reveals what the data hides about modern desire.

by David Spiegelhalter 2015

3.84

213 ratings

🔄 Modern Sexuality 🔬 Sex Research 💥 Debunking Myths 📊 Statistical Literacy 📈 Popular Statistics

Data Science for Business

by Foster Provost • 2013

Why overfitting sinks most data projects, and the conceptual tools that stop it.

4.13

3k+

📊 Business Analytics ⛏️ Data Mining 📏 Model Evaluation 🔧 Feature Engineering 🧹 Data Preparation

Data Science for Business 87%

Why overfitting sinks most data projects, and the conceptual tools that stop it.

by Foster Provost 2013

4.13

3k+ ratings

📊 Business Analytics ⛏️ Data Mining 📏 Model Evaluation 🔧 Feature Engineering 🧹 Data Preparation

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Highly recommended!! Fantastic service. Perfect for those that want a little more than a teaser but not all the intricate details of a full audio book.

— Greg M