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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+
Python for Data Analysis Summary
Python for Data Analysis 93%
The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.
by Wes McKinney 2011
4.17
2k+ ratings
Python Data Science Handbook
by Jake VanderPlas • 2016
Four libraries, one workflow: the Python path from raw data to validated predictions.
4.29
676
Python Data Science Handbook Summary
Python Data Science Handbook 92%
Four libraries, one workflow: the Python path from raw data to validated predictions.
by Jake VanderPlas 2016
4.29
676 ratings
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 Data Science Summary
Python Data Science 92%
Python taught for data science: syntax, data structures, and the libraries that unlock the field.
by Christopher Wilkinson 2019
2.50
2 ratings
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
Python for Data Analysis Summary
Python for Data Analysis 92%
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
by Oscar Scratch 2019
3.50
2 ratings
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
Doing Data Science Summary
Doing Data Science 92%
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
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
Confident Data Skills Summary
Confident Data Skills 92%
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
by Kirill Eremenko 2018
4.12
211 ratings
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
Predictive Analytics For Dummies Summary
Predictive Analytics For Dummies 92%
A guide to building models that forecast, classify, and find hidden patterns, without a math degree.
by Anasse Bari 2013
3.74
111 ratings
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
Python Machine Learning Case Studies Summary
Python Machine Learning Case Studies 91%
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
Low-Code AI
by Gwendolyn Stripling • 2023
Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.
4.33
6
Low-Code AI Summary
Low-Code AI 91%
Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.
by Gwendolyn Stripling 2023
4.33
6 ratings
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 Science Summary
Data Science 91%
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
by John D. Kelleher 2018
3.90
876 ratings
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
Practical Statistics for Data Scientists Summary
Practical Statistics for Data Scientists 91%
The statistics data scientists actually use, from EDA to ensembles, with working R and Python code.
by Peter Bruce 2020
4.21
261 ratings
Introduction to Machine Learning with Python
by Andreas C. Müller • 2015
Build models that generalize, not just memorize: a Python data scientist's guide.
4.33
600
Introduction to Machine Learning with Python Summary
Introduction to Machine Learning with Python 91%
Build models that generalize, not just memorize: a Python data scientist's guide.
by Andreas C. Müller 2015
4.33
600 ratings
Python for Geeks
by Muhammad Asif • 2021
Machine learning from notebook to production: Python libraries, data prep, and deployment paths.
4.50
8
Python for Geeks Summary
Python for Geeks 91%
Machine learning from notebook to production: Python libraries, data prep, and deployment paths.
by Muhammad Asif 2021
4.50
8 ratings
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 Statistics for Data Scientists Summary
Practical Statistics for Data Scientists 91%
The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.
by Peter Bruce 2017
4.02
545 ratings
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 FOR DATA ANALYSIS Summary
PYTHON FOR DATA ANALYSIS 91%
The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.
by Ryshith Doyle 2019
3.67
6 ratings
Think Stats
by Allen B. Downey • 2011
Statistics taught through code: why simulation and real data beat memorization every time.
3.64
469
Think Stats Summary
Think Stats 91%
Statistics taught through code: why simulation and real data beat memorization every time.
by Allen B. Downey 2011
3.64
469 ratings
Data Science from Scratch
by Joel Grus • 2015
Real understanding comes from building algorithms yourself, not calling libraries others wrote.
3.90
1k+
Data Science from Scratch Summary
Data Science from Scratch 91%
Real understanding comes from building algorithms yourself, not calling libraries others wrote.
by Joel Grus 2015
3.90
1k+ ratings
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
Learning Python Data Visualization Summary
Learning Python Data Visualization 91%
Turn spreadsheets and web data into SVG charts with Python, no design background required.
by Chad Adams 2014
3.00
5 ratings
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
Python for Excel Summary
Python for Excel 91%
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
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 for Informatics Summary
Python for Informatics 91%
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 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 Crash Course Summary
Python Crash Course 91%
Learn Python through data: plot random walks, map countries, and build interactive charts from zero.
by Eric Matthes 2015
4.35
3k+ ratings
AI for Data Science
by Zacharias Voulgaris • 2018
The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.
4.55
20
AI for Data Science Summary
AI for Data Science 91%
The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.
by Zacharias Voulgaris 2018
4.55
20 ratings
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
Practical SQL Summary
Practical SQL 91%
Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.
by Anthony DeBarros 2022
4.26
239 ratings
The Quick Python Book
by Naomi R. Ceder • 2000
Indentation is syntax, functions are data, and the standard library does half the work already.
3.87
277
The Quick Python Book Summary
The Quick Python Book 91%
Indentation is syntax, functions are data, and the standard library does half the work already.
by Naomi R. Ceder 2000
3.87
277 ratings
Deep Learning with Python
by François Chollet • 2017
The Keras creator teaches you to build neural networks that see, read, and create in Python.
4.57
1k+
Deep Learning with Python Summary
Deep Learning with Python 91%
The Keras creator teaches you to build neural networks that see, read, and create in Python.
by François Chollet 2017
4.57
1k+ ratings
Machine Learning For Absolute Beginners
by Oliver Theobald • 2018
A plain English path from zero to a working model: the algorithms, data prep, and code.
3.96
786
Machine Learning For Absolute Beginners Summary
Machine Learning For Absolute Beginners 91%
A plain English path from zero to a working model: the algorithms, data prep, and code.
by Oliver Theobald 2018
3.96
786 ratings
Algorithms of the Intelligent Web
by Haralambos Marmanis • 2009
Search, recommend, cluster, classify: the algorithms that make web applications intelligent.
3.62
130
Algorithms of the Intelligent Web Summary
Algorithms of the Intelligent Web 91%
Search, recommend, cluster, classify: the algorithms that make web applications intelligent.
by Haralambos Marmanis 2009
3.62
130 ratings
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
Practical Time Series Analysis Summary
Practical Time Series Analysis 90%
When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.
by Aileen Nielsen 2019
3.77
64 ratings
Data Science for Business
by Foster Provost • 2013
Why overfitting sinks most data projects, and the conceptual tools that stop it.
4.13
3k+
Data Science for Business Summary
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
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
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
Machine Learning For Absolute Beginners
by Oliver Theobald • 2017
How machine learning algorithms think, from regression to neural networks, no math required.
4.12
474
Machine Learning For Absolute Beginners Summary
Machine Learning For Absolute Beginners 90%
How machine learning algorithms think, from regression to neural networks, no math required.
by Oliver Theobald 2017
4.12
474 ratings
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+
Hadoop Summary
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
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 Made Accessible Summary
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
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+
The Hundred-Page Machine Learning Book Summary
The Hundred-Page Machine Learning Book 90%
The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.
by Andriy Burkov 2019
4.25
1k+ ratings
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 for Beginners Summary
Python Programming for Beginners 90%
Python for absolute beginners: automate spreadsheets, scrape websites, analyze data step by step.
by MARK CODING 2020
5.00
1 ratings
Machine Learning for Dummies
by John Paul Mueller • 2016
Machine learning demystified: pick the right algorithm, train it well, and know when it works.
3.53
139
Machine Learning for Dummies Summary
Machine Learning for Dummies 90%
Machine learning demystified: pick the right algorithm, train it well, and know when it works.
by John Paul Mueller 2016
3.53
139 ratings
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
Machine Learning with R Summary
Machine Learning with R 90%
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
Head First SQL
by Lynn Beighley • 2007
Excel, SQL, and the predictive powers that turn a report puller into a company’s oracle.
4.01
557
Head First SQL Summary
Head First SQL 90%
Excel, SQL, and the predictive powers that turn a report puller into a company’s oracle.
by Lynn Beighley 2007
4.01
557 ratings
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 Mining Techniques Summary
Data Mining Techniques 90%
How to pull business answers from transaction data using six core data mining techniques.
by Michael J.A. Berry 1997
4.06
233 ratings
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
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
AI and Machine Learning for Coders
by Laurence Moroney • 2021
Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.
4.09
108
AI and Machine Learning for Coders Summary
AI and Machine Learning for Coders 90%
Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.
by Laurence Moroney 2021
4.09
108 ratings
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
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
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
Introduction to Computation and Programming Using Python Summary
Introduction to Computation and Programming Using Python 90%
A computer calculates and remembers; everything beyond that is what you build with code.
by John V. Guttag 2013
4.22
500 ratings
Why Data Science Projects Fail
by Douglas Gray • 2024
Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.
5.00
19
Why Data Science Projects Fail Summary
Why Data Science Projects Fail 90%
Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.
by Douglas Gray 2024
5.00
19 ratings
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 Summary
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
Graph Databases
by Ian Robinson • 2013
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
3.64
437
Graph Databases Summary
Graph Databases 90%
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
by Ian Robinson 2013
3.64
437 ratings
Pro Git
by Scott Chacon • 2009
Learn Git from the inside out: snapshots, branching, and the reflog that saves lost work.
4.18
3k+
Pro Git Summary
Pro Git 90%
Learn Git from the inside out: snapshots, branching, and the reflog that saves lost work.
by Scott Chacon 2009
4.18
3k+ ratings
Natural Language Processing with Transformers
by Lewis Tunstall • 2022
Build NLP applications with the open-source stack that turned transformer research practical.
4.39
211
Natural Language Processing with Transformers Summary
Natural Language Processing with Transformers 90%
Build NLP applications with the open-source stack that turned transformer research practical.
by Lewis Tunstall 2022
4.39
211 ratings
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
Introducing Microsoft Power BI Summary
Introducing Microsoft Power BI 89%
Connect spreadsheets and databases to build live dashboards, then share them through Office apps.
by Alberto Ferrari 2016
3.97
202 ratings
Hands-On Machine Learning with Scikit-Learn and TensorFlow
by Aurélien Géron • 2017
How neural networks remember: training RNNs, LSTMs, and GRUs for tasks where order matters.
4.55
3k+
Hands-On Machine Learning with Scikit-Learn and TensorFlow Summary
Hands-On Machine Learning with Scikit-Learn and TensorFlow 89%
How neural networks remember: training RNNs, LSTMs, and GRUs for tasks where order matters.
by Aurélien Géron 2017
4.55
3k+ ratings
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