📊 Data Processing

Books covering the transformation of raw data into usable information through cleaning, aggregation, and computation — the essential middle step between collection and insight.

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 90%

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

Fundamentals of Data Engineering

by Joe Reis • 2022

Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.

4.16

945

🛠️ Data Engineering 🏗️ Data Architecture 🔗 Data Pipelines 📊 Data Modeling ☁️ Cloud Data Systems

Fundamentals of Data Engineering Summary

Fundamentals of Data Engineering 90%

Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.

by Joe Reis 2022

4.16

945 ratings

🛠️ Data Engineering 🏗️ Data Architecture 🔗 Data Pipelines 📊 Data Modeling ☁️ Cloud Data Systems

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

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 90%

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

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 89%

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 Oscar Scratch • 2019

Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.

3.50

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization 🐍 Introductory Programming 📈 Beginner Data Science

Python for Data Analysis 89%

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

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 Programming ℹ️ Informatics 🔄 Data Manipulation 🕸️ Web Scraping

Python for Informatics 89%

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 Programming ℹ️ Informatics 🔄 Data Manipulation 🕸️ Web Scraping

Confident Data Skills

by Kirill Eremenko • 2018

From messy data to clean insights to persuasive presentations: the process that lands the promotion.

4.12

211

📊 Data Science 📖 Data Literacy 🤖 Machine Learning Basics 📈 Data Visualization 🧹 Data Preparation

Confident Data Skills 89%

From messy data to clean insights to persuasive presentations: the process that lands the promotion.

by Kirill Eremenko 2018

4.12

211 ratings

📊 Data Science 📖 Data Literacy 🤖 Machine Learning Basics 📈 Data Visualization 🧹 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 89%

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

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 89%

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

Learning Python Data Visualization

by Chad Adams • 2014

Turn spreadsheets and web data into SVG charts with Python, no design background required.

3.00

📊 Data Visualization 🐍 Python Programming 📈 Chart Creation 🎨 Svg Graphics 🕸️ Web Scraping

Learning Python Data Visualization Summary

Learning Python Data Visualization 89%

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

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

Algorithms

by Panos Louridas • 2020

Twenty steps to find one item in a million, and the hidden logic that runs our world.

4.03

302

📐 Algorithm Design 💻 Computing Primers 🕸️ Graph Theory 🔍 Search Algorithms 📊 Data Sorting

Algorithms 89%

Twenty steps to find one item in a million, and the hidden logic that runs our world.

by Panos Louridas 2020

4.03

302 ratings

📐 Algorithm Design 💻 Computing Primers 🕸️ Graph Theory 🔍 Search Algorithms 📊 Data Sorting

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 89%

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

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 89%

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

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 89%

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

AI for Data Science

by Zacharias Voulgaris • 2018

The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.

4.55

📊 Data Science 🧠 Deep Learning ⚙️ Optimization Algorithms 🤝 Ensemble Methods 📈 Big Data Analytics

AI for Data Science 89%

The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.

by Zacharias Voulgaris 2018

4.55

20 ratings

📊 Data Science 🧠 Deep Learning ⚙️ Optimization Algorithms 🤝 Ensemble Methods 📈 Big Data Analytics

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 89%

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

Graph Databases

by Ian Robinson • 2013

Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.

3.64

437

🕸️ Graph Databases 🗄️ Nosql Databases 📐 Graph Theory 🔗 Network Analysis 🏗️ Data Architecture

Graph Databases 89%

Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.

by Ian Robinson 2013

3.64

437 ratings

🕸️ Graph Databases 🗄️ Nosql Databases 📐 Graph Theory 🔗 Network Analysis 🏗️ Data Architecture

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 89%

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

DAMA-DMBOK

by DAMA International • 2017

Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.

4.15

172

👔 Data Governance 🏢 Enterprise Data Strategy 🧱 Data Architecture 📐 Data Modeling ✅ Data Quality Management

DAMA-DMBOK 89%

Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.

by DAMA International 2017

4.15

172 ratings

👔 Data Governance 🏢 Enterprise Data Strategy 🧱 Data Architecture 📐 Data Modeling ✅ Data Quality Management

Python for Geeks

by Muhammad Asif • 2021

Machine learning from notebook to production: Python libraries, data prep, and deployment paths.

4.50

🐍 Python Programming ⚙️ Machine Learning Engineering 📊 Data Science 🚀 Production Deployment ☁️ Serverless Computing

Python for Geeks 89%

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

Python Data Science

by Christopher Wilkinson • 2019

Python taught for data science: syntax, data structures, and the libraries that unlock the field.

2.50

🐍 Python Programming 📊 Data Science 📐 Programming Fundamentals 🔧 Data Analysis Tools 🌐 Python Ecosystem

Python Data Science 89%

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

PYTHON FOR DATA ANALYSIS

by Ryshith Doyle • 2019

The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.

3.67

🐍 Python Programming 📊 Data Analysis 🧹 Data Wrangling 🧱 Data Structures 🔢 Numerical Computing

PYTHON FOR DATA ANALYSIS 89%

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

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

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

📊 Data Analysis 🤖 Spreadsheet Automation 🐼 Pandas Dataframes 📈 Time Series Analysis 📄 Reproducible Reporting

Python for Excel 89%

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 📄 Reproducible Reporting

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People

by Aditya Y. Bhargava • 2015

Algorithms stripped of dense math: a hand-drawn guide to thinking in runtimes and data structures.

4.41

5k+

🔢 Algorithm Fundamentals 🧱 Data Structures 🔍 Sorting And Searching 🕸️ Graph Algorithms ✏️ Illustrated Guides

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People Summary

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People 89%

Algorithms stripped of dense math: a hand-drawn guide to thinking in runtimes and data structures.

by Aditya Y. Bhargava 2015

4.41

5k+ ratings

🔢 Algorithm Fundamentals 🧱 Data Structures 🔍 Sorting And Searching 🕸️ Graph Algorithms ✏️ Illustrated Guides

Learning OpenCV

by Gary Bradski • 2008

From smoothing to machine learning: the complete OpenCV toolkit for building computer vision apps.

4.01

171

🖥️ Computer Vision 🌄 Image Processing 📚 Open Source Libraries ⚙️ Algorithm Guides 📖 Code Reference

Learning OpenCV 89%

From smoothing to machine learning: the complete OpenCV toolkit for building computer vision apps.

by Gary Bradski 2008

4.01

171 ratings

🖥️ Computer Vision 🌄 Image Processing 📚 Open Source Libraries ⚙️ Algorithm Guides 📖 Code Reference

Introduction to Computation and Programming Using Python

by John V. Guttag • 2013

A computer calculates and remembers; everything beyond that is what you build with code.

4.22

500

🧑‍💻 Introductory Programming 🧠 Computational Thinking 🐍 Python For Beginners 📐 Algorithm Design 🗃️ Data Structures

Introduction to Computation and Programming Using Python Summary

Introduction to Computation and Programming Using Python 89%

A computer calculates and remembers; everything beyond that is what you build with code.

by John V. Guttag 2013

4.22

500 ratings

🧑‍💻 Introductory Programming 🧠 Computational Thinking 🐍 Python For Beginners 📐 Algorithm Design 🗃️ Data Structures

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

Google Hacks

by Rael Dornfest • 2003

Hidden syntax, tools, and 800 million Usenet messages: how to find anything with Google.

3.68

301

🔍 Internet Research 🔎 Search Techniques 💻 Hacker Culture 📢 Online Advertising ⚡ Power User Tips

Google Hacks 89%

Hidden syntax, tools, and 800 million Usenet messages: how to find anything with Google.

by Rael Dornfest 2003

3.68

301 ratings

🔍 Internet Research 🔎 Search Techniques 💻 Hacker Culture 📢 Online Advertising ⚡ Power User Tips

Algorithms of the Intelligent Web

by Haralambos Marmanis • 2009

Search, recommend, cluster, classify: the algorithms that make web applications intelligent.

3.62

130

🤖 Machine Learning 🌐 Web Applications 🎯 Recommendation Systems 📄 Text Mining ⛏️ Data Mining

Algorithms of the Intelligent Web Summary

Algorithms of the Intelligent Web 89%

Search, recommend, cluster, classify: the algorithms that make web applications intelligent.

by Haralambos Marmanis 2009

3.62

130 ratings

🤖 Machine Learning 🌐 Web Applications 🎯 Recommendation Systems 📄 Text Mining ⛏️ Data Mining

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 89%

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

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 89%

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

Low-Code AI

by Gwendolyn Stripling • 2023

Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.

4.33

🛠️ Practical Ml 📊 Data Exploration 🔧 Feature Engineering 🔍 Model Interpretability 🧩 Low-Code Platforms

Low-Code AI 89%

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

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

Automate This

by Christopher Steiner • 2012

Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.

3.82

4k+

📈 Algorithmic Trading 🤖 Automation And Society 💻 Computational Thinking 🏛️ Wall Street History 🔮 Future Of Work

Automate This 89%

Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.

by Christopher Steiner 2012

3.82

4k+ ratings

📈 Algorithmic Trading 🤖 Automation And Society 💻 Computational Thinking 🏛️ Wall Street History 🔮 Future Of Work

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

Weapons of Math Destruction

by Cathy O'Neil • 2016

How the algorithms that score your life lock in poverty, deepen racism, and erode democracy.

3.87

30k+

🧩 Algorithmic Bias 📊 Big Data Ethics 🔒 Data Privacy 👮 Predictive Policing ⚖️ Algorithmic Accountability

Weapons of Math Destruction 88%

How the algorithms that score your life lock in poverty, deepen racism, and erode democracy.

by Cathy O'Neil 2016

3.87

30k+ ratings

🧩 Algorithmic Bias 📊 Big Data Ethics 🔒 Data Privacy 👮 Predictive Policing ⚖️ Algorithmic Accountability

The Ethical Algorithm

by Michael Kearns • 2019

Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.

4.10

671

⚖️ Algorithmic Bias 🔒 Data Privacy 🤖 Ai Ethics 🎲 Game Theory 🔬 Reproducibility Crisis

The Ethical Algorithm 88%

Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.

by Michael Kearns 2019

4.10

671 ratings

⚖️ Algorithmic Bias 🔒 Data Privacy 🤖 Ai Ethics 🎲 Game Theory 🔬 Reproducibility Crisis

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

Data Structures and Algorithms in Java

by Michael T. Goodrich • 1998

Data structures and their runtime analysis: how to write Java code that is efficient and dependable.

3.86

302

🧱 Data Structures ⚙️ Algorithms 🏗️ Algorithm Design 📈 Algorithm Analysis 🧩 Software Design

Data Structures and Algorithms in Java Summary

Data Structures and Algorithms in Java 88%

Data structures and their runtime analysis: how to write Java code that is efficient and dependable.

by Michael T. Goodrich 1998

3.86

302 ratings

🧱 Data Structures ⚙️ Algorithms 🏗️ Algorithm Design 📈 Algorithm Analysis 🧩 Software Design

The Art of SQL

by Stephane Faroult • 2006

SQL performance lives in the gap between relational theory and disk reality.

3.98

170

🗄️ Database Design 🚀 Query Optimization 🏭 Data Warehousing 📐 Relational Theory 🔍 Indexing Strategies

The Art of SQL 88%

SQL performance lives in the gap between relational theory and disk reality.

by Stephane Faroult 2006

3.98

170 ratings

🗄️ Database Design 🚀 Query Optimization 🏭 Data Warehousing 📐 Relational Theory 🔍 Indexing Strategies

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 88%

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

Artificial Intelligence Basics

by Tom Taulli • 2019

AI without the math: what machine learning does and where automation fits in your business.

3.50

210

🧠 Ai Fundamentals 🏭 Ai Adoption 🔄 Digital Transformation ⚖️ Technology Ethics 📊 Data Strategy

Artificial Intelligence Basics 88%

AI without the math: what machine learning does and where automation fits in your business.

by Tom Taulli 2019

3.50

210 ratings

🧠 Ai Fundamentals 🏭 Ai Adoption 🔄 Digital Transformation ⚖️ Technology Ethics 📊 Data Strategy

Fundamentals of Database Systems

by Shamkant B. Navathe • 1989

Before the database, there was a file. The conceptual leap that organizes the world's information.

3.81

963

🗄️ Database Systems 📊 Data Modeling 🗃️ Relational Databases ⌨️ Query Languages 🧱 Database Architecture

Fundamentals of Database Systems Summary

Fundamentals of Database Systems 88%

Before the database, there was a file. The conceptual leap that organizes the world's information.

by Shamkant B. Navathe 1989

3.81

963 ratings

🗄️ Database Systems 📊 Data Modeling 🗃️ Relational Databases ⌨️ Query Languages 🧱 Database Architecture

The Internet of Things

by Samuel Greengard • 2015

Connecting everything to the internet could add $33 trillion to the economy, and expose everything.

3.23

542

🌐 Internet Of Things 🏭 Industry 4.0 🔄 Digital Transformation 🔒 Data Privacy 🏙️ Smart Cities

The Internet of Things 88%

Connecting everything to the internet could add $33 trillion to the economy, and expose everything.

by Samuel Greengard 2015

3.23

542 ratings

🌐 Internet Of Things 🏭 Industry 4.0 🔄 Digital Transformation 🔒 Data Privacy 🏙️ Smart Cities

The Eye of the Master

by Matteo Pasquinelli • 2023

AI was never about thinking machines. It was built to measure, rank, and control workers.

4.06

292

🧠 Critical AI Studies 💻 History Of Computing 🏭 Division Of Labor 🐝 Collective Intelligence 📏 Psychometric History

The Eye of the Master 88%

AI was never about thinking machines. It was built to measure, rank, and control workers.

by Matteo Pasquinelli 2023

4.06

292 ratings

🧠 Critical AI Studies 💻 History Of Computing 🏭 Division Of Labor 🐝 Collective Intelligence 📏 Psychometric History

Automate the Boring Stuff with Python

by Al Sweigart • 2014

Turn tedious computer work into scripts: spreadsheets, emails, and scraping, taught from zero.

4.28

3k+

🐍 Introductory Python ⚙️ Task Automation 🕸️ Web Scraping 📊 Spreadsheet Automation 📧 Email Automation

Automate the Boring Stuff with Python Summary

Automate the Boring Stuff with Python 88%

Turn tedious computer work into scripts: spreadsheets, emails, and scraping, taught from zero.

by Al Sweigart 2014

4.28

3k+ ratings

🐍 Introductory Python ⚙️ Task Automation 🕸️ Web Scraping 📊 Spreadsheet Automation 📧 Email Automation

Computer Power and Human Reason

by Joseph Weizenbaum • 1976

The computer's greatest danger isn't outthinking us; it's that we'll remake ourselves in its image.

4.31

294

🦾 Philosophy Of Technology 🤖 Ai Criticism ⚖️ Computer Ethics 🧮 Instrumental Reason ⚙️ Technological Determinism

Computer Power and Human Reason 88%

The computer's greatest danger isn't outthinking us; it's that we'll remake ourselves in its image.

by Joseph Weizenbaum 1976

4.31

294 ratings

🦾 Philosophy Of Technology 🤖 Ai Criticism ⚖️ Computer Ethics 🧮 Instrumental Reason ⚙️ Technological Determinism

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