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📈 Multivariate Analysis

Statistical methods for examining relationships among multiple variables simultaneously, essential for researchers seeking to untangle complexity in data-rich fields.
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🎯 Sampling Methods
Research Methodology Summary
Research Methodology 91%
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🎯 Sampling Methods
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 Summary
SPSS Survival Manual 91%
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
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 Summary
Practical Statistics for Data Scientists 90%
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
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
5
📊 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
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 89%
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
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 Summary
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
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 89%
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
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 Summary
Think Stats 89%
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
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
64
📈 Time Series Analysis🔧 Feature Engineering🧹 Data Preparation⚙️ Machine Learning Pipelines📊 Statistical Learning
Practical Time Series Analysis Summary
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 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 Summary
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
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 Summary
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
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 Summary
Doing Data Science 88%
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
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 Summary
Machine Learning Simplified 88%
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 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 Summary
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
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 Summary
Statistics for Dummies 88%
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
Python Data Science Handbook
by Jake VanderPlas • 2016
Four libraries, one workflow: the Python path from raw data to validated predictions.
4.29
676
📊 Data Science🤖 Machine Learning🐍 Scientific Python🧹 Data Preprocessing⚙️ Feature Engineering
Python Data Science Handbook Summary
Python Data Science Handbook 88%
Four libraries, one workflow: the Python path from raw data to validated predictions.
by Jake VanderPlas 2016
4.29
676 ratings
📊 Data Science🤖 Machine Learning🐍 Scientific Python🧹 Data Preprocessing⚙️ Feature Engineering
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 Summary
Forecasting 88%
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
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 88%
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
Introduction To Machine Learning
by Ethem Alpaydin • 2004
The mathematical core of machine learning, taught without cutting corners: from Bayes to boosting.
3.78
251
🤖 Machine Learning📊 Statistical Learning🏷️ Supervised Learning🎮 Reinforcement Learning🎲 Bayesian Inference
Introduction To Machine Learning Summary
Introduction To Machine Learning 88%
The mathematical core of machine learning, taught without cutting corners: from Bayes to boosting.
by Ethem Alpaydin 2004
3.78
251 ratings
🤖 Machine Learning📊 Statistical Learning🏷️ Supervised Learning🎮 Reinforcement Learning🎲 Bayesian Inference
Low-Code AI
by Gwendolyn Stripling • 2023
Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.
4.33
6
🛠️ Practical Ml📊 Data Exploration🔧 Feature Engineering🔍 Model Interpretability🧩 Low-Code Platforms
Low-Code AI Summary
Low-Code AI 88%
Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.
by Gwendolyn Stripling 2023
4.33
6 ratings
🛠️ Practical Ml📊 Data Exploration🔧 Feature Engineering🔍 Model Interpretability🧩 Low-Code Platforms
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 Summary
Data Science 88%
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
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 Summary
Big Data 88%
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 88%
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
Python for Data Analysis
by Wes McKinney • 2011
The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.
4.17
2k+
🧹 Data Wrangling🔬 Scientific Computing📊 Data Visualization⏳ Time Series Analysis📈 Statistical Modeling
Python for Data Analysis Summary
Python for Data Analysis 88%
The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.
by Wes McKinney 2011
4.17
2k+ ratings
🧹 Data Wrangling🔬 Scientific Computing📊 Data Visualization⏳ Time Series Analysis📈 Statistical Modeling
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 Summary
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
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 Summary
Data Science for Business 88%
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
The Hundred-Page Machine Learning Book
by Andriy Burkov • 2019
The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.
4.25
1k+
🤖 Machine Learning📊 Data Science📚 Classical Machine Learning📈 Statistical Learning🏫 Supervised Learning
The Hundred-Page Machine Learning Book Summary
The Hundred-Page Machine Learning Book 87%
The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.
by Andriy Burkov 2019
4.25
1k+ ratings
🤖 Machine Learning📊 Data Science📚 Classical Machine Learning📈 Statistical Learning🏫 Supervised Learning
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 Summary
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
The Book of Why
by Judea Pearl • 2018
Data can't tell you why. A mathematical science of cause and effect finally can.
3.93
7k+
🏹 Causal Inference🕸️ Graphical Models🔄 Counterfactuals📉 Limits Of Correlation🔬 Philosophy Of Science
The Book of Why Summary
The Book of Why 87%
Data can't tell you why. A mathematical science of cause and effect finally can.
by Judea Pearl 2018
3.93
7k+ ratings
🏹 Causal Inference🕸️ Graphical Models🔄 Counterfactuals📉 Limits Of Correlation🔬 Philosophy Of Science
Introduction to Linear Algebra
by Gilbert Strang • 1993
Linear algebra organized around a matrix's core spaces: from elimination straight to the SVD.
4.24
703
📐 Applied Linear Algebra🧩 Matrix Factorizations↔️ Vector Spaces💻 Computational Mathematics🤖 Machine Learning Math
Introduction to Linear Algebra Summary
Introduction to Linear Algebra 87%
Linear algebra organized around a matrix's core spaces: from elimination straight to the SVD.
by Gilbert Strang 1993
4.24
703 ratings
📐 Applied Linear Algebra🧩 Matrix Factorizations↔️ Vector Spaces💻 Computational Mathematics🤖 Machine Learning Math
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 Summary
Competing on Analytics 87%
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
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 Summary
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
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 Summary
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
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 Summary
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
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+
🧮 Popular Mathematics📐 Applied Mathematics📊 Statistical Literacy🧠 Cognitive Biases⚠️ Risk Literacy
The Math of Life and Death Summary
The Math of Life and Death 87%
Key mathematical ideas govern medicine, law, and media, and your intuition gets each one wrong.
by Kit Yates 2019
3.90
2k+ ratings
🧮 Popular Mathematics📐 Applied Mathematics📊 Statistical Literacy🧠 Cognitive Biases⚠️ Risk Literacy
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 Summary
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
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 Summary
Predictive Analytics 87%
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
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 Summary
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
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 Summary
Data Analytics Made Accessible 87%
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
Machine Learning with R
by Brett Lantz • 2015
Build the algorithms that catch spam, flag fraud, and recommend products: a hands-on guide in R.
4.20
312
💻 R Language🤖 Machine Learning📈 Predictive Modeling🏷️ Supervised Learning📊 Classification Algorithms
Machine Learning with R Summary
Machine Learning with R 87%
Build the algorithms that catch spam, flag fraud, and recommend products: a hands-on guide in R.
by Brett Lantz 2015
4.20
312 ratings
💻 R Language🤖 Machine Learning📈 Predictive Modeling🏷️ Supervised Learning📊 Classification Algorithms
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 Summary
Data Smart 87%
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 87%
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
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
67
🧮 Quantitative Methods📊 Business Statistics🎲 Probability For Managers🔮 Forecasting Methods🤔 Decision Analysis
The Economist Numbers Guide Summary
The Economist Numbers Guide 87%
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
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 Summary
Sports Analytics 87%
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
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
13
💳 Credit Risk🏦 Consumer Lending📊 Statistical Modeling🔮 Predictive Analytics⚙️ Operational Research
Credit Scoring and Its Applications Summary
Credit Scoring and Its Applications 87%
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
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 Summary
The Bestseller Code 87%
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
Introduction to Real Analysis
by Robert G. Bartle • 1982
A rigorous foundation in real numbers and limits: the proofs that make calculus unshakeable.
4.00
311
🧮 Real Analysis📐 Rigorous Calculus📝 Mathematical Proofs🔢 Sequences And Series🌀 Point-Set Topology
Introduction to Real Analysis Summary
Introduction to Real Analysis 87%
A rigorous foundation in real numbers and limits: the proofs that make calculus unshakeable.
by Robert G. Bartle 1982
4.00
311 ratings
🧮 Real Analysis📐 Rigorous Calculus📝 Mathematical Proofs🔢 Sequences And Series🌀 Point-Set Topology
Fundamental Methods of Mathematical Economics
by Alpha C. Chiang • 1974
Economics explained in equations: a rigorous toolkit from statics to dynamic systems.
4.02
541
🧮 Mathematical Economics📊 Economic Modeling⚖️ Equilibrium Analysis↔️ Comparative Statics⏳ Dynamic Economics
Fundamental Methods of Mathematical Economics Summary
Fundamental Methods of Mathematical Economics 87%
Economics explained in equations: a rigorous toolkit from statics to dynamic systems.
by Alpha C. Chiang 1974
4.02
541 ratings
🧮 Mathematical Economics📊 Economic Modeling⚖️ Equilibrium Analysis↔️ Comparative Statics⏳ Dynamic Economics
Street-Fighting Mathematics
by Sanjoy Mahajan • 2010
A toolkit for rough-and-ready problem solving: estimate with units, symmetry, and clever shortcuts.
3.74
236
✏️ Back-Of-The-Envelope📏 Dimensional Analysis💡 Heuristic Reasoning🔬 Physical Intuition🧮 Mathematical Modeling
Street-Fighting Mathematics Summary
Street-Fighting Mathematics 87%
A toolkit for rough-and-ready problem solving: estimate with units, symmetry, and clever shortcuts.
by Sanjoy Mahajan 2010
3.74
236 ratings
✏️ Back-Of-The-Envelope📏 Dimensional Analysis💡 Heuristic Reasoning🔬 Physical Intuition🧮 Mathematical Modeling
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 Summary
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
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