📊 Predictive Metrics

Data-driven approaches to measuring what matters before outcomes unfold, helping leaders and analysts focus on the indicators that actually forecast future results.

Predictive Analytics

by Eric Siegel • 2013

Companies know whether you'll leave, buy, or default before you've decided. Here's how.

3.66

2k+

📊 Data Science 🔮 Predictive Analytics 📈 Big Data 🤖 Machine Learning 🧠 Behavioral Prediction

Predictive Analytics 91%

Companies know whether you'll leave, buy, or default before you've decided. Here's how.

by Eric Siegel 2013

3.66

2k+ ratings

📊 Data Science 🔮 Predictive Analytics 📈 Big Data 🤖 Machine Learning 🧠 Behavioral Prediction

Big Data

by Bernard Marr • 2015

Most data projects fail because they start with data, not strategy. Five questions change that.

3.59

416

🎯 Data Strategy 📊 Business Analytics 📈 Performance Metrics 📉 Data Visualization 🔮 Predictive Analytics

Big Data 91%

Most data projects fail because they start with data, not strategy. Five questions change that.

by Bernard Marr 2015

3.59

416 ratings

🎯 Data Strategy 📊 Business Analytics 📈 Performance Metrics 📉 Data Visualization 🔮 Predictive Analytics

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 90%

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 Signal and the Noise

by Nate Silver • 2012

Why weather forecasters improve while economists flounder, and what that reveals about prediction.

3.97

53k+

🔮 Forecasting Methods 🧩 Bayesian Reasoning 🧠 Cognitive Biases ⚠️ Risk And Uncertainty 🐝 Wisdom Of Crowds

The Signal and the Noise 90%

Why weather forecasters improve while economists flounder, and what that reveals about prediction.

by Nate Silver 2012

3.97

53k+ ratings

🔮 Forecasting Methods 🧩 Bayesian Reasoning 🧠 Cognitive Biases ⚠️ Risk And Uncertainty 🐝 Wisdom Of Crowds

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 90%

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

Fundamentals of Machine Learning for Predictive Data Analytics

by John D. Kelleher • 2015

Pick the right machine learning approach for any business problem, guided by real case studies.

4.35

105

📊 Predictive Analytics 💼 Business Analytics 🤖 Supervised Learning 📈 Model Evaluation 🧹 Data Preparation

Fundamentals of Machine Learning for Predictive Data Analytics Summary

Fundamentals of Machine Learning for Predictive Data Analytics 90%

Pick the right machine learning approach for any business problem, guided by real case studies.

by John D. Kelleher 2015

4.35

105 ratings

📊 Predictive Analytics 💼 Business Analytics 🤖 Supervised Learning 📈 Model Evaluation 🧹 Data Preparation

Competing on Analytics

by Thomas H. Davenport • 2007

Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.

3.69

2k+

📊 Analytics Strategy 🔮 Predictive Modeling 📋 Fact-Based Decisions 🧠 Analytics Culture 🗄️ Data Management

Competing on Analytics 90%

Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.

by Thomas H. Davenport 2007

3.69

2k+ ratings

📊 Analytics Strategy 🔮 Predictive Modeling 📋 Fact-Based Decisions 🧠 Analytics Culture 🗄️ Data Management

Sports Analytics

by Benjamin C. Alamar • 2013

The playbook for installing analytics inside a sports organization, from data to decision.

3.51

130

📊 Sports Analytics 📈 Data Analytics 🗄️ Data Management 🔮 Predictive Modeling 📏 Performance Metrics

Sports Analytics 90%

The playbook for installing analytics inside a sports organization, from data to decision.

by Benjamin C. Alamar 2013

3.51

130 ratings

📊 Sports Analytics 📈 Data Analytics 🗄️ Data Management 🔮 Predictive Modeling 📏 Performance Metrics

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 90%

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

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 90%

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

Data Smart

by John W. Foreman • 2013

Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.

4.12

1k+

📊 Spreadsheet Modeling 📈 Business Analytics 🤖 Machine Learning For Managers 🧮 Quantitative Decision Making 🔮 Forecasting Methods

Data Smart 90%

Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.

by John W. Foreman 2013

4.12

1k+ ratings

📊 Spreadsheet Modeling 📈 Business Analytics 🤖 Machine Learning For Managers 🧮 Quantitative Decision Making 🔮 Forecasting Methods

Numsense! Data Science for the Layman

by Annalyn Ng • 2017

Data science without the math: twelve techniques, what they do, and why intuition alone falls short.

4.14

622

🧠 Data Literacy 🤖 Machine Learning Basics 📈 Predictive Analytics 📊 Data-Driven Decisions 📘 Technical Primers

Numsense! Data Science for the Layman Summary

Numsense! Data Science for the Layman 90%

Data science without the math: twelve techniques, what they do, and why intuition alone falls short.

by Annalyn Ng 2017

4.14

622 ratings

🧠 Data Literacy 🤖 Machine Learning Basics 📈 Predictive Analytics 📊 Data-Driven Decisions 📘 Technical Primers

Predictive Analytics For Dummies

by Anasse Bari • 2013

A guide to building models that forecast, classify, and find hidden patterns, without a math degree.

3.74

111

📊 Data Science 🔮 Predictive Modeling 🐥 Beginner Guides 🧹 Data Preparation 🧩 Clustering

Predictive Analytics For Dummies Summary

Predictive Analytics For Dummies 90%

A guide to building models that forecast, classify, and find hidden patterns, without a math degree.

by Anasse Bari 2013

3.74

111 ratings

📊 Data Science 🔮 Predictive Modeling 🐥 Beginner Guides 🧹 Data Preparation 🧩 Clustering

HBR Guide to Data Analytics Basics for Managers

by Harvard Business Review • 2018

The manager's checklist: what to verify before any number shapes your next decision.

3.86

383

🧱 Data-Driven Management 📖 Data Literacy 🎯 Metric Selection 📊 Data Visualization 🧠 Cognitive Biases

HBR Guide to Data Analytics Basics for Managers Summary

HBR Guide to Data Analytics Basics for Managers 90%

The manager's checklist: what to verify before any number shapes your next decision.

by Harvard Business Review 2018

3.86

383 ratings

🧱 Data-Driven Management 📖 Data Literacy 🎯 Metric Selection 📊 Data Visualization 🧠 Cognitive Biases

The Future of Everything

by David Orrell • 2006

Weather, markets, pandemics: the science of why forecasts fail, and what to build instead.

3.67

117

🔮 Forecasting 🕸️ Complexity Science ⚠️ Limits Of Prediction 🔗 Systems Thinking 📉 Economic Forecasting

The Future of Everything 90%

Weather, markets, pandemics: the science of why forecasts fail, and what to build instead.

by David Orrell 2006

3.67

117 ratings

🔮 Forecasting 🕸️ Complexity Science ⚠️ Limits Of Prediction 🔗 Systems Thinking 📉 Economic Forecasting

Data Analytics Made Accessible

by Anil Maheshwari • 2014

Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.

3.76

323

🧱 Data Analytics 📊 Business Intelligence ⛏️ Data Mining 📈 Data Visualization 🔮 Predictive Analytics

Data Analytics Made Accessible 90%

Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.

by Anil Maheshwari 2014

3.76

323 ratings

🧱 Data Analytics 📊 Business Intelligence ⛏️ Data Mining 📈 Data Visualization 🔮 Predictive Analytics

Python Machine Learning Case Studies

by Danish Haroon • 2017

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

2.60

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📐 Model Evaluation

Python Machine Learning Case Studies Summary

Python Machine Learning Case Studies 89%

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

by Danish Haroon 2017

2.60

5 ratings

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📐 Model Evaluation

Credit Scoring and Its Applications

by Lyn C. Thomas • 1987

How the algorithms that decide who gets a loan actually work, and how to build them.

3.62

💳 Credit Risk 🏦 Consumer Lending 📊 Statistical Modeling 🔮 Predictive Analytics ⚙️ Operational Research

Credit Scoring and Its Applications Summary

Credit Scoring and Its Applications 89%

How the algorithms that decide who gets a loan actually work, and how to build them.

by Lyn C. Thomas 1987

3.62

13 ratings

💳 Credit Risk 🏦 Consumer Lending 📊 Statistical Modeling 🔮 Predictive Analytics ⚙️ Operational Research

Forecasting

by Rob J. Hyndman • 2013

Build forecasts that work: test on unseen data, beat simple benchmarks, reconcile every level.

4.39

318

🧮 Time Series Analysis 📈 Business Forecasting 📊 Statistical Modeling 👁 Data Visualization 📦 Demand Planning

Forecasting 89%

Build forecasts that work: test on unseen data, beat simple benchmarks, reconcile every level.

by Rob J. Hyndman 2013

4.39

318 ratings

🧮 Time Series Analysis 📈 Business Forecasting 📊 Statistical Modeling 👁 Data Visualization 📦 Demand Planning

Web Analytics 2.0

by Avinash Kaushik • 2009

Your web data is lying to you. The framework that turns page views into decisions.

4.13

2k+

🖥️ Digital Analytics 🎯 Performance Indicators 🧪 Online Experimentation 👥 Customer Intelligence 📈 Conversion Optimization

Web Analytics 2.0 89%

Your web data is lying to you. The framework that turns page views into decisions.

by Avinash Kaushik 2009

4.13

2k+ ratings

🖥️ Digital Analytics 🎯 Performance Indicators 🧪 Online Experimentation 👥 Customer Intelligence 📈 Conversion Optimization

Data Science

by John D. Kelleher • 2018

Turning raw data into decisions requires a defined process, not just algorithms and statistics.

3.90

876

🔎 Data Mining 🧭 Data Science Methodology 📈 Predictive Modeling 🧩 Unsupervised Learning ⚖️ Data Ethics

Data Science 89%

Turning raw data into decisions requires a defined process, not just algorithms and statistics.

by John D. Kelleher 2018

3.90

876 ratings

🔎 Data Mining 🧭 Data Science Methodology 📈 Predictive Modeling 🧩 Unsupervised Learning ⚖️ Data Ethics

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 89%

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

Data Mining Techniques

by Michael J.A. Berry • 1997

How to pull business answers from transaction data using six core data mining techniques.

4.06

233

📊 Data-Driven Marketing 📈 Customer Analytics ⛏️ Data Mining 🔮 Predictive Modeling 📋 Business Intelligence

Data Mining Techniques 89%

How to pull business answers from transaction data using six core data mining techniques.

by Michael J.A. Berry 1997

4.06

233 ratings

📊 Data-Driven Marketing 📈 Customer Analytics ⛏️ Data Mining 🔮 Predictive Modeling 📋 Business Intelligence

Keeping Up with the Quants

by Thomas H. Davenport • 2013

You hired the quants. Now learn the questions that turn their numbers into decisions.

3.57

585

🏢 Data-Driven Management 📊 Business Analytics 🧮 Quantitative Thinking 📖 Data Storytelling 📋 Evidence-Based Management

Keeping Up with the Quants 89%

You hired the quants. Now learn the questions that turn their numbers into decisions.

by Thomas H. Davenport 2013

3.57

585 ratings

🏢 Data-Driven Management 📊 Business Analytics 🧮 Quantitative Thinking 📖 Data Storytelling 📋 Evidence-Based Management

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 89%

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

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 89%

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

AI for Marketing and Product Innovation

by A.K. Pradeep • 2018

Algorithmic customer segments your surveys will never find, priced to exactly what each will pay.

3.33

📱 Digital Marketing 💡 Product Innovation 📊 Predictive Analytics 🧠 Ai Strategy 📉 Marketing Analytics

AI for Marketing and Product Innovation Summary

AI for Marketing and Product Innovation 89%

Algorithmic customer segments your surveys will never find, priced to exactly what each will pay.

by A.K. Pradeep 2018

3.33

57 ratings

📱 Digital Marketing 💡 Product Innovation 📊 Predictive Analytics 🧠 Ai Strategy 📉 Marketing Analytics

The Signals Are Talking

by Amy Webb • 2016

Trends leave footprints at the fringe. A system for reading the future before it becomes obvious.

3.70

641

🧭 Strategic Foresight 🗺️ Scenario Planning 🔍 Pattern Recognition 🌱 Fringe Innovation 📡 Technology Forecasting

The Signals Are Talking 89%

Trends leave footprints at the fringe. A system for reading the future before it becomes obvious.

by Amy Webb 2016

3.70

641 ratings

🧭 Strategic Foresight 🗺️ Scenario Planning 🔍 Pattern Recognition 🌱 Fringe Innovation 📡 Technology Forecasting

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 89%

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

The Flaw of Averages

by Sam L. Savage • 2009

A single average can sink your plan. The missing skill: thinking in distributions.

3.86

574

🧠 Decision Science 🎲 Probabilistic Thinking ⚠️ Risk Management 🧩 Cognitive Biases 🎰 Monte Carlo Methods

The Flaw of Averages 89%

A single average can sink your plan. The missing skill: thinking in distributions.

by Sam L. Savage 2009

3.86

574 ratings

🧠 Decision Science 🎲 Probabilistic Thinking ⚠️ Risk Management 🧩 Cognitive Biases 🎰 Monte Carlo Methods

Key Performance Indicators For Dummies

by Bernard Marr • 2014

Most companies drown in data. A guide to picking the KPIs your strategy actually needs.

3.91

📏 Performance Measurement 📊 Business Metrics 🧭 Strategic Alignment 📈 Data-Driven Decisions 🖥️ Dashboard Design

Key Performance Indicators For Dummies Summary

Key Performance Indicators For Dummies 89%

Most companies drown in data. A guide to picking the KPIs your strategy actually needs.

by Bernard Marr 2014

3.91

55 ratings

📏 Performance Measurement 📊 Business Metrics 🧭 Strategic Alignment 📈 Data-Driven Decisions 🖥️ Dashboard Design

Trading Bases

by Joe Peta • 2013

A Wall Street quant's baseball model found the betting market lagging reality, just like stocks.

4.03

1k+

⚾ Baseball Analytics 🎲 Sports Betting 📈 Quantitative Finance 🏦 Wall Street Memoir 🔮 Predictive Modeling

Trading Bases 89%

A Wall Street quant's baseball model found the betting market lagging reality, just like stocks.

by Joe Peta 2013

4.03

1k+ ratings

⚾ Baseball Analytics 🎲 Sports Betting 📈 Quantitative Finance 🏦 Wall Street Memoir 🔮 Predictive Modeling

Behind Every Good Decision

by Piyanka Jain • 2014

Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.

3.60

144

📊 Business Analytics 📈 Data-Driven Decisions 🧩 Analytics Frameworks 📖 Data Literacy 🔧 Everyday Analytics

Behind Every Good Decision 89%

Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.

by Piyanka Jain 2014

3.60

144 ratings

📊 Business Analytics 📈 Data-Driven Decisions 🧩 Analytics Frameworks 📖 Data Literacy 🔧 Everyday Analytics

Machine Learning Simplified

by Andrew Wolf • 2022

Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.

4.87

193

🎯 Supervised Learning 📚 Machine Learning Fundamentals 📊 Statistical Learning ✅ Model Evaluation 🧹 Data Preprocessing

Machine Learning Simplified 89%

Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.

by Andrew Wolf 2022

4.87

193 ratings

🎯 Supervised Learning 📚 Machine Learning Fundamentals 📊 Statistical Learning ✅ Model Evaluation 🧹 Data Preprocessing

The Tyranny of Metrics

by Jerry Z. Muller • 2017

The pursuit of measurable accountability is corrupting exactly the institutions it claims to fix.

3.69

2k+

📉 Performance Metrics 🔄 Perverse Incentives 🎮 Gaming Metrics ⏳ Short-Termism 🏛️ Institutional Dysfunction

The Tyranny of Metrics 89%

The pursuit of measurable accountability is corrupting exactly the institutions it claims to fix.

by Jerry Z. Muller 2017

3.69

2k+ ratings

📉 Performance Metrics 🔄 Perverse Incentives 🎮 Gaming Metrics ⏳ Short-Termism 🏛️ Institutional Dysfunction

How to Measure Anything Workbook

by Douglas W. Hubbard • 2014

Why everything is measurable and how to do it: a toolkit for turning uncertainties into dollars.

4.08

219

📏 Intangible Measurement 🎲 Uncertainty Reduction 📊 Decision Analysis 🧮 Bayesian Reasoning ⚠️ Risk Modeling

How to Measure Anything Workbook Summary

How to Measure Anything Workbook 89%

Why everything is measurable and how to do it: a toolkit for turning uncertainties into dollars.

by Douglas W. Hubbard 2014

4.08

219 ratings

📏 Intangible Measurement 🎲 Uncertainty Reduction 📊 Decision Analysis 🧮 Bayesian Reasoning ⚠️ Risk Modeling

Basketball on Paper

by Dean Oliver • 2003

Basketball's scoreboard is a liar. Here is what actually decides who wins and who loses.

4.06

467

🏀 Basketball Analytics 📊 Sports Analytics 📈 Performance Metrics 🔢 Statistical Modeling 📋 Data-Driven Coaching

Basketball on Paper 89%

Basketball's scoreboard is a liar. Here is what actually decides who wins and who loses.

by Dean Oliver 2003

4.06

467 ratings

🏀 Basketball Analytics 📊 Sports Analytics 📈 Performance Metrics 🔢 Statistical Modeling 📋 Data-Driven Coaching

Data Strategy

by Bernard Marr • 2017

Profit from the data firehose: pick the right data, build a company that acts on it.

3.77

418

📊 Data Strategy 📈 Business Intelligence 💾 Big Data 🧮 Analytics 🔒 Data Governance

Data Strategy 89%

Profit from the data firehose: pick the right data, build a company that acts on it.

by Bernard Marr 2017

3.77

418 ratings

📊 Data Strategy 📈 Business Intelligence 💾 Big Data 🧮 Analytics 🔒 Data Governance

Key Performance Indicators

by David Parmenter • 2007

Most KPIs are decorative. How to find the 10 measures that actually move your company.

3.79

331

🎯 Performance Measurement ⚖️ Balanced Scorecard 📊 Business Metrics 🔍 Strategic Focus 👥 Team Empowerment

Key Performance Indicators 89%

Most KPIs are decorative. How to find the 10 measures that actually move your company.

by David Parmenter 2007

3.79

331 ratings

🎯 Performance Measurement ⚖️ Balanced Scorecard 📊 Business Metrics 🔍 Strategic Focus 👥 Team Empowerment

The Bestseller Code

by Jodie Archer • 2016

An algorithm spots bestsellers with 80 percent accuracy, reading signals no writing class teaches.

3.81

1k+

✍️ Novel Writing 📊 Text Mining 📈 Plot Structure 🎢 Emotional Arcs 🎯 Character Agency

The Bestseller Code 89%

An algorithm spots bestsellers with 80 percent accuracy, reading signals no writing class teaches.

by Jodie Archer 2016

3.81

1k+ ratings

✍️ Novel Writing 📊 Text Mining 📈 Plot Structure 🎢 Emotional Arcs 🎯 Character Agency

Everyday Chaos

by David Weinberger • 2019

A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.

3.78

202

🔬 Complexity Science 🔄 Systems Thinking 🤖 Machine Learning 💻 Digital Strategy 🔓 Open Platforms

Everyday Chaos 88%

A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.

by David Weinberger 2019

3.78

202 ratings

🔬 Complexity Science 🔄 Systems Thinking 🤖 Machine Learning 💻 Digital Strategy 🔓 Open Platforms

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 88%

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

How to Expect the Unexpected

by Kit Yates • 2023

Master the science of prediction: why your gut fails, and when the smartest forecast is none.

3.69

188

🔮 Forecasting 🧠 Cognitive Biases 🎲 Probability 🔄 Systems Thinking 🦋 Chaos Theory

How to Expect the Unexpected 88%

Master the science of prediction: why your gut fails, and when the smartest forecast is none.

by Kit Yates 2023

3.69

188 ratings

🔮 Forecasting 🧠 Cognitive Biases 🎲 Probability 🔄 Systems Thinking 🦋 Chaos Theory

How to Measure Anything in Cybersecurity Risk

by Douglas W. Hubbard • 2016

Cybersecurity swears its risks defy measurement. A quantitative toolkit that says otherwise.

4.06

381

🔐 Cybersecurity Risk 📊 Quantitative Risk Analysis 🧠 Decision Science 🤔 Cognitive Biases 📈 Risk Modeling

How to Measure Anything in Cybersecurity Risk Summary

How to Measure Anything in Cybersecurity Risk 88%

Cybersecurity swears its risks defy measurement. A quantitative toolkit that says otherwise.

by Douglas W. Hubbard 2016

4.06

381 ratings

🔐 Cybersecurity Risk 📊 Quantitative Risk Analysis 🧠 Decision Science 🤔 Cognitive Biases 📈 Risk Modeling

The Book

by Tom M. Tango • 2006

Most baseball strategy is wrong: the numbers reveal when to bunt, steal, and use your closer.

4.07

1k+

⚾ Sabermetrics 📊 Sports Analytics 🎲 Game Theory 🧠 Decision Science 📈 Data-Driven Decisions

The Book 88%

Most baseball strategy is wrong: the numbers reveal when to bunt, steal, and use your closer.

by Tom M. Tango 2006

4.07

1k+ ratings

⚾ Sabermetrics 📊 Sports Analytics 🎲 Game Theory 🧠 Decision Science 📈 Data-Driven Decisions

Mastering Salesforce Reports and Dashboards

by David Carnes • 2023

Why most Salesforce dashboards fail: bad folder permissions, missing fields, and how to fix them.

5.00

🖥️ Crm Administration 📊 Dashboard Design 📈 Business Reporting 📉 Business Analytics 🧠 Data-Driven Decisions

Mastering Salesforce Reports and Dashboards Summary

Mastering Salesforce Reports and Dashboards 88%

Why most Salesforce dashboards fail: bad folder permissions, missing fields, and how to fix them.

by David Carnes 2023

5.00

1 ratings

🖥️ Crm Administration 📊 Dashboard Design 📈 Business Reporting 📉 Business Analytics 🧠 Data-Driven Decisions

Smart Baseball

by Keith Law • 2017

Batting average, pitcher wins, RBI: why they fail, and the numbers that actually predict winning.

3.95

3k+

🧮 Sabermetrics 📖 Data Literacy 🧠 Myth Debunking 🧢 Player Evaluation 💰 Baseball Economics

Smart Baseball 88%

Batting average, pitcher wins, RBI: why they fail, and the numbers that actually predict winning.

by Keith Law 2017

3.95

3k+ ratings

🧮 Sabermetrics 📖 Data Literacy 🧠 Myth Debunking 🧢 Player Evaluation 💰 Baseball Economics

The Secrets of Economic Indicators

by Bernard Baumohl • 2004

Which economic reports swing markets, and how to trade them before the crowd catches on.

3.87

429

📊 Economic Indicators 📈 Financial Markets 🌐 Macro Investing 🏦 Monetary Policy 🔄 Business Cycle

The Secrets of Economic Indicators Summary

The Secrets of Economic Indicators 88%

Which economic reports swing markets, and how to trade them before the crowd catches on.

by Bernard Baumohl 2004

3.87

429 ratings

📊 Economic Indicators 📈 Financial Markets 🌐 Macro Investing 🏦 Monetary Policy 🔄 Business Cycle

AI in the Financial Markets

by Federico Cecconi • 2023

AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.

📉 Financial Markets 💻 Fintech 🤖 Algorithmic Trading 📊 Quantitative Finance 📡 Alternative Data

AI in the Financial Markets 88%

AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.

by Federico Cecconi 2023

📉 Financial Markets 💻 Fintech 🤖 Algorithmic Trading 📊 Quantitative Finance 📡 Alternative Data

The Economist Numbers Guide

by The Economist • 2001

A 50% raise then 50% cut leaves you at 75%. The business math that stops costly errors.

3.84

🧮 Quantitative Methods 📊 Business Statistics 🎲 Probability For Managers 🔮 Forecasting Methods 🤔 Decision Analysis

The Economist Numbers Guide 88%

A 50% raise then 50% cut leaves you at 75%. The business math that stops costly errors.

by The Economist 2001

3.84

67 ratings

🧮 Quantitative Methods 📊 Business Statistics 🎲 Probability For Managers 🔮 Forecasting Methods 🤔 Decision Analysis

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