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📄 Reproducible Reporting

Books on creating data-driven reports and analyses that others can verify and replicate, emphasizing transparency, code, and methodological rigor.
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 88%
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
Python for Excel
by Felix Zumstein • 2021
Turn Excel into a Python engine: automate reports, scale past a million rows, and quit copy-pasting.
4.00
41
📊 Data Analysis🤖 Spreadsheet Automation🐼 Pandas Dataframes📈 Time Series Analysis🛠️ Software Craftsmanship
Python for Excel Summary
Python for Excel 88%
Turn Excel into a Python engine: automate reports, scale past a million rows, and quit copy-pasting.
by Felix Zumstein 2021
4.00
41 ratings
📊 Data Analysis🤖 Spreadsheet Automation🐼 Pandas Dataframes📈 Time Series Analysis🛠️ Software Craftsmanship
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 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
Python for Data Analysis
by Oscar Scratch • 2019
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
3.50
2
🧮 Scientific Computing🔄 Data Manipulation📊 Data Visualization🐍 Introductory Programming📈 Beginner Data Science
Python for Data Analysis Summary
Python for Data Analysis 87%
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
by Oscar Scratch 2019
3.50
2 ratings
🧮 Scientific Computing🔄 Data Manipulation📊 Data Visualization🐍 Introductory Programming📈 Beginner Data Science
Practical SQL
by Anthony DeBarros • 2022
Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.
4.26
239
💾 Sql📊 Data Analysis🗃️ Relational Databases📖 Data Storytelling🛠️ Learn By Doing
Practical SQL Summary
Practical SQL 87%
Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.
by Anthony DeBarros 2022
4.26
239 ratings
💾 Sql📊 Data Analysis🗃️ Relational Databases📖 Data Storytelling🛠️ Learn By Doing
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
1
🖥️ Crm Administration📊 Dashboard Design📈 Business Reporting📉 Business Analytics🧠 Data-Driven Decisions
Mastering Salesforce Reports and Dashboards Summary
Mastering Salesforce Reports and Dashboards 87%
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
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 87%
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
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
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 87%
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
Learning Python Data Visualization
by Chad Adams • 2014
Turn spreadsheets and web data into SVG charts with Python, no design background required.
3.00
5
📊 Data Visualization🐍 Python Programming📈 Chart Creation🎨 Svg Graphics🕸️ Web Scraping
Learning Python Data Visualization Summary
Learning Python Data Visualization 87%
Turn spreadsheets and web data into SVG charts with Python, no design background required.
by Chad Adams 2014
3.00
5 ratings
📊 Data Visualization🐍 Python Programming📈 Chart Creation🎨 Svg Graphics🕸️ Web Scraping
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 87%
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
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 87%
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
Design Thinking Research
by Larry Leifer • 2013
What if your programming environment saved every change, so you could explore ideas without risk?
4.00
1
💻 Software Design🗂️ Version Control🔄 Iterative Development✅ Code Quality Automation🧠 Cognitive Load Reduction
Design Thinking Research Summary
Design Thinking Research 87%
What if your programming environment saved every change, so you could explore ideas without risk?
by Larry Leifer 2013
4.00
1 ratings
💻 Software Design🗂️ Version Control🔄 Iterative Development✅ Code Quality Automation🧠 Cognitive Load Reduction
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 87%
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
Software Engineering for Data Scientists
by Catherine Nelson • 2024
Write code that survives production: the software engineering skills notebooks never taught you.
4.27
48
🏗️ Software Craftsmanship👁️ Code Readability🧩 Modular Design🧪 Automated Testing🛡️ Error Handling
Software Engineering for Data Scientists Summary
Software Engineering for Data Scientists 87%
Write code that survives production: the software engineering skills notebooks never taught you.
by Catherine Nelson 2024
4.27
48 ratings
🏗️ Software Craftsmanship👁️ Code Readability🧩 Modular Design🧪 Automated Testing🛡️ Error Handling
Ansible
by Lorin Hochstein • 2014
No agents required. Automate configuration and deployment with playbooks you can actually read.
3.88
270
🔧 Configuration Management📋 Infrastructure As Code🛠️ Devops Tooling🚀 Deployment Automation💻 Sysadmins
Ansible Summary
Ansible 87%
No agents required. Automate configuration and deployment with playbooks you can actually read.
by Lorin Hochstein 2014
3.88
270 ratings
🔧 Configuration Management📋 Infrastructure As Code🛠️ Devops Tooling🚀 Deployment Automation💻 Sysadmins
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 Summary
Research Methodology 87%
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
Designing Machine Learning Systems
by Chip Huyen • 2022
Accuracy is not enough. An iterative playbook for machine learning systems that survive production.
4.45
1k+
⚙️ Machine Learning Engineering🔧 Mlops🔄 Iterative Design📋 Reproducible Ml🤝 Ensemble Learning
Designing Machine Learning Systems Summary
Designing Machine Learning Systems 87%
Accuracy is not enough. An iterative playbook for machine learning systems that survive production.
by Chip Huyen 2022
4.45
1k+ ratings
⚙️ Machine Learning Engineering🔧 Mlops🔄 Iterative Design📋 Reproducible Ml🤝 Ensemble Learning
Modern Software Engineering
by David Farley • 2021
Software is not a craft; it's a science. The discipline that turns teams into learning machines.
4.16
1k+
🔬 Scientific Engineering🔄 Continuous Delivery🔁 Feedback Loops🧱 Modularity🧪 Testability
Modern Software Engineering Summary
Modern Software Engineering 87%
Software is not a craft; it's a science. The discipline that turns teams into learning machines.
by David Farley 2021
4.16
1k+ ratings
🔬 Scientific Engineering🔄 Continuous Delivery🔁 Feedback Loops🧱 Modularity🧪 Testability
Pro Git
by Scott Chacon • 2009
Learn Git from the inside out: snapshots, branching, and the reflog that saves lost work.
4.18
3k+
🗂️ Version Control💻 Command Line Tools🤝 Code Collaboration🔓 Open Source Tools🔄 Development Workflows
Pro Git Summary
Pro Git 87%
Learn Git from the inside out: snapshots, branching, and the reflog that saves lost work.
by Scott Chacon 2009
4.18
3k+ ratings
🗂️ Version Control💻 Command Line Tools🤝 Code Collaboration🔓 Open Source Tools🔄 Development Workflows
Science Research Writing for Non-Native Speakers of English
by Hilary Glasman-Deal • 2009
Why good scientists write badly, and the writing blueprint that gets non-native speakers published.
4.43
169
🧪 Scientific Writing📝 Academic Publishing🌐 ESL Writing📄 Research Article Structure📚 Academic Vocabulary
Science Research Writing for Non-Native Speakers of English Summary
Science Research Writing for Non-Native Speakers of English 86%
Why good scientists write badly, and the writing blueprint that gets non-native speakers published.
by Hilary Glasman-Deal 2009
4.43
169 ratings
🧪 Scientific Writing📝 Academic Publishing🌐 ESL Writing📄 Research Article Structure📚 Academic Vocabulary
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 86%
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
Python Data Science
by Christopher Wilkinson • 2019
Python taught for data science: syntax, data structures, and the libraries that unlock the field.
2.50
2
🐍 Python Programming📊 Data Science📐 Programming Fundamentals🔧 Data Analysis Tools🌐 Python Ecosystem
Python Data Science Summary
Python Data Science 86%
Python taught for data science: syntax, data structures, and the libraries that unlock the field.
by Christopher Wilkinson 2019
2.50
2 ratings
🐍 Python Programming📊 Data Science📐 Programming Fundamentals🔧 Data Analysis Tools🌐 Python Ecosystem
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 86%
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 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 86%
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
Python Crash Course
by Eric Matthes • 2015
Learn Python through data: plot random walks, map countries, and build interactive charts from zero.
4.35
3k+
🐍 Python Programming📊 Data Visualization🌱 Beginner Programming🛠️ Project-Based Learning📈 Data Analysis
Python Crash Course Summary
Python Crash Course 86%
Learn Python through data: plot random walks, map countries, and build interactive charts from zero.
by Eric Matthes 2015
4.35
3k+ ratings
🐍 Python Programming📊 Data Visualization🌱 Beginner Programming🛠️ Project-Based Learning📈 Data Analysis
Hadoop
by Tom White • 2009
How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.
3.93
1k+
📊 Big Data🖧 Distributed Systems🐘 Hadoop Ecosystem⚙️ Data Engineering🔗 Data Pipelines
Hadoop Summary
Hadoop 86%
How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.
by Tom White 2009
3.93
1k+ ratings
📊 Big Data🖧 Distributed Systems🐘 Hadoop Ecosystem⚙️ Data Engineering🔗 Data Pipelines
Python for Geeks
by Muhammad Asif • 2021
Machine learning from notebook to production: Python libraries, data prep, and deployment paths.
4.50
8
🐍 Python Programming⚙️ Machine Learning Engineering📊 Data Science🚀 Production Deployment☁️ Serverless Computing
Python for Geeks Summary
Python for Geeks 86%
Machine learning from notebook to production: Python libraries, data prep, and deployment paths.
by Muhammad Asif 2021
4.50
8 ratings
🐍 Python Programming⚙️ Machine Learning Engineering📊 Data Science🚀 Production Deployment☁️ Serverless Computing
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 86%
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
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 86%
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
PYTHON FOR DATA ANALYSIS
by Ryshith Doyle • 2019
The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.
3.67
6
🐍 Python Programming📊 Data Analysis🧹 Data Wrangling🧱 Data Structures🔢 Numerical Computing
PYTHON FOR DATA ANALYSIS Summary
PYTHON FOR DATA ANALYSIS 86%
The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.
by Ryshith Doyle 2019
3.67
6 ratings
🐍 Python Programming📊 Data Analysis🧹 Data Wrangling🧱 Data Structures🔢 Numerical Computing
Software Engineering
by Ian Sommerville • 1982
From requirements to deployment: the systematic approach to building software that lasts.
3.77
945
🖥️ Software Engineering🔄 Software Processes🏃 Agile Methods📚 Classic Textbooks🎓 Computer Science Students
Software Engineering Summary
Software Engineering 86%
From requirements to deployment: the systematic approach to building software that lasts.
by Ian Sommerville 1982
3.77
945 ratings
🖥️ Software Engineering🔄 Software Processes🏃 Agile Methods📚 Classic Textbooks🎓 Computer Science Students
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 86%
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
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 86%
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
Building Secure and Reliable Systems
by Heather Adkins • 2020
Build systems that survive attacks and accidents. Google's framework for reliable, secure software.
3.89
199
🛡️ Software Security🔧 Site Reliability🔄 Devops Practices🔒 Secure Coding🧪 Testing Strategies
Building Secure and Reliable Systems Summary
Building Secure and Reliable Systems 86%
Build systems that survive attacks and accidents. Google's framework for reliable, secure software.
by Heather Adkins 2020
3.89
199 ratings
🛡️ Software Security🔧 Site Reliability🔄 Devops Practices🔒 Secure Coding🧪 Testing Strategies
Python Programming for Beginners
by MARK CODING • 2020
Python for absolute beginners: automate spreadsheets, scrape websites, analyze data step by step.
5.00
1
🐍 Python Programming💻 Learn To Code🌱 Absolute Beginners🛠️ Hands-On Learning📊 Data Analysis
Python Programming for Beginners Summary
Python Programming for Beginners 86%
Python for absolute beginners: automate spreadsheets, scrape websites, analyze data step by step.
by MARK CODING 2020
5.00
1 ratings
🐍 Python Programming💻 Learn To Code🌱 Absolute Beginners🛠️ Hands-On Learning📊 Data Analysis
Software Requirements
by Karl Wiegers • 1999
Nearly half of all software defects trace back to bad requirements. The fix starts here.
4.14
859
🏗️ Requirements Engineering👤 User-Centered Design✅ Software Quality📋 Project Management📊 Business Analysis
Software Requirements Summary
Software Requirements 86%
Nearly half of all software defects trace back to bad requirements. The fix starts here.
by Karl Wiegers 1999
4.14
859 ratings
🏗️ Requirements Engineering👤 User-Centered Design✅ Software Quality📋 Project Management📊 Business Analysis
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
9
🔒 Security Studies🧮 Rational Choice⚔️ Methodology Wars🔬 Philosophy Of Science📐 Formal Modeling
Rational Choice and Security Studies Summary
Rational Choice and Security Studies 86%
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
Debugging
by David J. Agans • 2002
Learn to debug like a detective: reproduce the crime, divide the scene, and never guess.
4.26
509
🐛 Debugging🎯 Root Cause Analysis⚙️ Engineering Mindset🔧 Pragmatic Programming🧪 Scientific Method
Debugging Summary
Debugging 86%
Learn to debug like a detective: reproduce the crime, divide the scene, and never guess.
by David J. Agans 2002
4.26
509 ratings
🐛 Debugging🎯 Root Cause Analysis⚙️ Engineering Mindset🔧 Pragmatic Programming🧪 Scientific Method
Science Fictions
by Stuart Ritchie • 2020
From power posing to cancer cures, how fraud, hype, and broken incentives corrupt science.
4.34
3k+
🧪 Metascience🔁 Replication Crisis🕵️ Scientific Misconduct📉 Publication Bias🔓 Open Science
Science Fictions Summary
Science Fictions 86%
From power posing to cancer cures, how fraud, hype, and broken incentives corrupt science.
by Stuart Ritchie 2020
4.34
3k+ ratings
🧪 Metascience🔁 Replication Crisis🕵️ Scientific Misconduct📉 Publication Bias🔓 Open Science
Introducing Microsoft Power BI
by Alberto Ferrari • 2016
Connect spreadsheets and databases to build live dashboards, then share them through Office apps.
3.97
202
📊 Business Intelligence📈 Data Analytics🖥️ Microsoft Bi Tools📉 Data Visualization🎛️ Dashboard Design
Introducing Microsoft Power BI Summary
Introducing Microsoft Power BI 86%
Connect spreadsheets and databases to build live dashboards, then share them through Office apps.
by Alberto Ferrari 2016
3.97
202 ratings
📊 Business Intelligence📈 Data Analytics🖥️ Microsoft Bi Tools📉 Data Visualization🎛️ Dashboard Design
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 Summary
Web Analytics 2.0 86%
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
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 86%
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
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 86%
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
Mastering Regular Expressions
by Jeffrey E.F. Friedl • 1997
Understand the engine behind your regex: why some patterns crawl, and how to make them run.
4.16
2k+
🧩 Regular Expressions📝 Text Processing🔍 Pattern Matching⚡ Code Optimization🤖 Automata Theory
Mastering Regular Expressions Summary
Mastering Regular Expressions 86%
Understand the engine behind your regex: why some patterns crawl, and how to make them run.
by Jeffrey E.F. Friedl 1997
4.16
2k+ ratings
🧩 Regular Expressions📝 Text Processing🔍 Pattern Matching⚡ Code Optimization🤖 Automata Theory
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 86%
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 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 86%
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 for Informatics
by Charles Severance • 2002
Learn Python by probing data: scrape the web, query databases, and make the file system obey.
3.99
619
🐍 Python Programming📘 Introductory Programmingℹ️ Informatics🔄 Data Manipulation🕸️ Web Scraping
Python for Informatics Summary
Python for Informatics 86%
Learn Python by probing data: scrape the web, query databases, and make the file system obey.
by Charles Severance 2002
3.99
619 ratings
🐍 Python Programming📘 Introductory Programmingℹ️ Informatics🔄 Data Manipulation🕸️ Web Scraping
Learn Python 3 the Hard Way
by Zed A. Shaw • 2017
Python without the hand-holding: type every line, debug every error, and build from the terminal up.
3.92
597
🐍 Python Programming💻 Learn To Code⌨️ Command Line🐛 Debugging🛠️ Learn By Doing
Learn Python 3 the Hard Way Summary
Learn Python 3 the Hard Way 86%
Python without the hand-holding: type every line, debug every error, and build from the terminal up.
by Zed A. Shaw 2017
3.92
597 ratings
🐍 Python Programming💻 Learn To Code⌨️ Command Line🐛 Debugging🛠️ Learn By Doing
Geek Sublime
by Vikram Chandra • 2013
Why great code feels elegant: the answer may lie in ancient Indian aesthetics, not algorithms.
3.28
1k+
💻 Code Aesthetics🌐 Computing Culture🪷 Indian Aesthetics📜 Sanskrit Grammar👩‍💻 Gender And Tech
Geek Sublime Summary
Geek Sublime 86%
Why great code feels elegant: the answer may lie in ancient Indian aesthetics, not algorithms.
by Vikram Chandra 2013
3.28
1k+ ratings
💻 Code Aesthetics🌐 Computing Culture🪷 Indian Aesthetics📜 Sanskrit Grammar👩‍💻 Gender And Tech
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