Start free trial
EnglishEnglish
EspañolSpanish
简体中文Chinese
繁體中文Chinese (Traditional)
FrançaisFrench
DeutschGerman
日本語Japanese
PortuguêsPortuguese
ItalianoItalian
한국어Korean
РусскийRussian
NederlandsDutch
العربيةArabic
PolskiPolish
हिन्दीHindi
Tiếng ViệtVietnamese
SvenskaSwedish
ΕλληνικάGreek
TürkçeTurkish
ไทยThai
ČeštinaCzech
RomânăRomanian
MagyarHungarian
УкраїнськаUkrainian
IndonesiaIndonesian
DanskDanish
SuomiFinnish
БългарскиBulgarian
עבריתHebrew
NorskNorwegian
HrvatskiCroatian
CatalàCatalan
SlovenčinaSlovak
LietuviųLithuanian
SlovenščinaSlovenian
СрпскиSerbian
EestiEstonian
LatviešuLatvian
فارسیPersian
മലയാളംMalayalam
தமிழ்Tamil
اردوUrdu
SoBrief
Searching...
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 92%
The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.
by Peter Bruce 2017
4.02
545 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
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
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
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 90%
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
Statistics 101
by David Borman • 2018
A single-volume stats class: summarize data, test hunches, and build forecasts, minus the jargon.
2.94
147
Statistics 101 Summary
Statistics 101 90%
A single-volume stats class: summarize data, test hunches, and build forecasts, minus the jargon.
by David Borman 2018
2.94
147 ratings
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 90%
The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.
by Wes McKinney 2011
4.17
2k+ 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 90%
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 89%
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
by John D. Kelleher 2018
3.90
876 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 89%
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
by Kirill Eremenko 2018
4.12
211 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 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
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 89%
Four libraries, one workflow: the Python path from raw data to validated predictions.
by Jake VanderPlas 2016
4.29
676 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 89%
Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.
by Anil Maheshwari 2014
3.76
323 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 89%
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 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 89%
Why overfitting sinks most data projects, and the conceptual tools that stop it.
by Foster Provost 2013
4.13
3k+ 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 89%
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
by Oscar Scratch 2019
3.50
2 ratings
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
Becoming a Data Head Summary
Becoming a Data Head 89%
The critical thinking toolkit for anyone who works with data but never plans to code.
by Alex J. Gutman 2021
4.18
480 ratings
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 89%
The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.
by Ryshith Doyle 2019
3.67
6 ratings
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
SPSS Survival Manual Summary
SPSS Survival Manual 88%
Your SPSS survival guide: plain-English steps from data entry to ANOVA, no stats panic required.
by Julie Pallant 2001
4.11
372 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 88%
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
by Annalyn Ng 2017
4.14
622 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 88%
Python taught for data science: syntax, data structures, and the libraries that unlock the field.
by Christopher Wilkinson 2019
2.50
2 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 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
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 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
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+
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
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 88%
Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.
by Anthony DeBarros 2022
4.26
239 ratings
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 Summary
Research Methodology 88%
The gap between a research question and a publishable finding, bridged step by step.
by C.R. Kothari 1985
3.88
306 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 88%
Learn Python through data: plot random walks, map countries, and build interactive charts from zero.
by Eric Matthes 2015
4.35
3k+ 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 88%
Turn spreadsheets and web data into SVG charts with Python, no design background required.
by Chad Adams 2014
3.00
5 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 88%
How to pull business answers from transaction data using six core data mining techniques.
by Michael J.A. Berry 1997
4.06
233 ratings
Big Data
by Bernard Marr • 2015
Most data projects fail because they start with data, not strategy. Five questions change that.
3.59
416
Big Data Summary
Big Data 88%
Most data projects fail because they start with data, not strategy. Five questions change that.
by Bernard Marr 2015
3.59
416 ratings
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+
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
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+
The Data Detective Summary
The Data Detective 88%
Your emotions react to statistics before your brain does. Ten rules for getting the numbers right.
by Tim Harford 2020
4.12
8k+ ratings
Keeping Up with the Quants
by Thomas H. Davenport • 2013
You hired the quants. Now learn the questions that turn their numbers into decisions.
3.57
585
Keeping Up with the Quants Summary
Keeping Up with the Quants 88%
You hired the quants. Now learn the questions that turn their numbers into decisions.
by Thomas H. Davenport 2013
3.57
585 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 88%
Excel, SQL, and the predictive powers that turn a report puller into a company’s oracle.
by Lynn Beighley 2007
4.01
557 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 88%
The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.
by Zacharias Voulgaris 2018
4.55
20 ratings
Storytelling with Data
by Cole Nussbaumer Knaflic • 2019
Turn chart clutter into clear stories. Practice exercises that make your data impossible to ignore.
4.47
179
Storytelling with Data Summary
Storytelling with Data 88%
Turn chart clutter into clear stories. Practice exercises that make your data impossible to ignore.
by Cole Nussbaumer Knaflic 2019
4.47
179 ratings
Information Is Beautiful
by David McCandless • 2001
Concept is the secret: why a simple, clever data drawing can reveal more than a supercomputer.
4.12
4k+
Information Is Beautiful Summary
Information Is Beautiful 88%
Concept is the secret: why a simple, clever data drawing can reveal more than a supercomputer.
by David McCandless 2001
4.12
4k+ ratings
The Elements of Statistical Learning
by Trevor Hastie • 2001
The unified mathematical engine under linear regression, trees, and neural nets.
4.43
2k+
The Elements of Statistical Learning Summary
The Elements of Statistical Learning 88%
The unified mathematical engine under linear regression, trees, and neural nets.
by Trevor Hastie 2001
4.43
2k+ ratings
Storytelling with Data
by Cole Nussbaumer Knaflic • 2015
A repeatable process for turning messy spreadsheets into clear charts that drive action.
4.38
8k+
Storytelling with Data Summary
Storytelling with Data 88%
A repeatable process for turning messy spreadsheets into clear charts that drive action.
by Cole Nussbaumer Knaflic 2015
4.38
8k+ ratings
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+
Web Analytics 2.0 Summary
Web Analytics 2.0 88%
Your web data is lying to you. The framework that turns page views into decisions.
by Avinash Kaushik 2009
4.13
2k+ 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 88%
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 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 88%
Real understanding comes from building algorithms yourself, not calling libraries others wrote.
by Joel Grus 2015
3.90
1k+ ratings
Behind Every Good Decision
by Piyanka Jain • 2014
Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.
3.60
144
Behind Every Good Decision Summary
Behind Every Good Decision 88%
Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.
by Piyanka Jain 2014
3.60
144 ratings
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
AIQ Summary
AIQ 88%
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
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 88%
Build models that generalize, not just memorize: a Python data scientist's guide.
by Andreas C. Müller 2015
4.33
600 ratings
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
Mastering Salesforce Reports and Dashboards Summary
Mastering Salesforce Reports and Dashboards 88%
Why most Salesforce dashboards fail: bad folder permissions, missing fields, and how to fix them.
by David Carnes 2023
5.00
1 ratings
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 88%
How machine learning algorithms think, from regression to neural networks, no math required.
by Oliver Theobald 2017
4.12
474 ratings
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+
Competing on Analytics Summary
Competing on Analytics 88%
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
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
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
Naked Statistics
by Charles Wheelan • 2012
Statistics explained so well you'll stop fearing the numbers and start questioning the headlines.
3.96
15k+
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
Home
Swipe
Library
Get App
Try Full Access for 3 Days
Listen, bookmark, and more
Compare Features Free Pro
📖 Read Summaries
Read unlimited summaries. Free users get 3 per month
🎧 Listen to Summaries
Listen to unlimited summaries in 40 languages
❤️ Unlimited Bookmarks
Free users are limited to 4
📜 Unlimited History
Free users are limited to 4
📥 Unlimited Downloads
Free users are limited to 1
Risk-Free Timeline
Today: Get Instant Access
Listen to full summaries of 26,000+ books. That's 12,000+ hours of audio!
Day 2: Trial Reminder
We'll send you a notification that your trial is ending soon.
Day 3: Your subscription begins
You'll be charged on Jul 25,
cancel anytime before.
Consume 2.8× More Books
2.8× more books Listening Reading
Our users love us
600,000+ readers
Trustpilot Rating
TrustPilot
4.6 Excellent
This site is a total game-changer. I've been flying through book summaries like never before. Highly, highly recommend.
— Dave G
Worth my money and time, and really well made. I've never seen this quality of summaries on other websites. Very helpful!
— Em
Highly recommended!! Fantastic service. Perfect for those that want a little more than a teaser but not all the intricate details of a full audio book.
— Greg M
Save 62%
Yearly
$119.88 $44.99/year/yr
$3.75/mo
Monthly
$9.99/mo
Start a 3-Day Free Trial
3 days free, then $44.99/year. Cancel anytime.
Unlock a world of fiction & nonfiction books
26,000+ books for the price of 2 books
Read any book in 10 minutes
Discover new books like Tinder
Request any book if it's not summarized
Read more books than anyone you know
#1 app for book lovers
Lifelike & immersive summaries
30-day money-back guarantee
Download summaries in EPUBs or PDFs
Cancel anytime in a few clicks
Scanner
Find a barcode to scan

We have a special gift for you
Open
38% OFF
DISCOUNT FOR YOU
$79.99
$49.99/year
only $4.16 per month
Continue
2 taps to start, super easy to cancel
Settings
General
Widget
Loading...
We have a special gift for you
Open
38% OFF
DISCOUNT FOR YOU
$79.99
$49.99/year
only $4.16 per month
Continue
2 taps to start, super easy to cancel