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SoBrief
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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 92%
Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.
by Anil Maheshwari 2014
3.76
323 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 92%
You hired the quants. Now learn the questions that turn their numbers into decisions.
by Thomas H. Davenport 2013
3.57
585 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 91%
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 91%
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 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 91%
Profit from the data firehose: pick the right data, build a company that acts on it.
by Bernard Marr 2017
3.77
418 ratings
HBR Guide to Data Analytics Basics for Managers
by Harvard Business Review • 2018
The manager's checklist: what to verify before any number shapes your next decision.
3.86
383
HBR Guide to Data Analytics Basics for Managers Summary
HBR Guide to Data Analytics Basics for Managers 91%
The manager's checklist: what to verify before any number shapes your next decision.
by Harvard Business Review 2018
3.86
383 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 91%
Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.
by Piyanka Jain 2014
3.60
144 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 91%
Your web data is lying to you. The framework that turns page views into decisions.
by Avinash Kaushik 2009
4.13
2k+ 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 91%
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
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 91%
The critical thinking toolkit for anyone who works with data but never plans to code.
by Alex J. Gutman 2021
4.18
480 ratings
Data 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
Sports Analytics
by Benjamin C. Alamar • 2013
The playbook for installing analytics inside a sports organization, from data to decision.
3.51
130
Sports Analytics Summary
Sports Analytics 91%
The playbook for installing analytics inside a sports organization, from data to decision.
by Benjamin C. Alamar 2013
3.51
130 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
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
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 90%
The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.
by Peter Bruce 2017
4.02
545 ratings
Predictive Analytics
by Eric Siegel • 2013
Companies know whether you'll leave, buy, or default before you've decided. Here's how.
3.66
2k+
Predictive Analytics Summary
Predictive Analytics 90%
Companies know whether you'll leave, buy, or default before you've decided. Here's how.
by Eric Siegel 2013
3.66
2k+ 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 90%
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
by Kirill Eremenko 2018
4.12
211 ratings
Google Analytics
by Justin Cutroni • 2007
Turn Google Analytics from a hit counter into a decision engine with the right setup.
3.72
129
Google Analytics Summary
Google Analytics 90%
Turn Google Analytics from a hit counter into a decision engine with the right setup.
by Justin Cutroni 2007
3.72
129 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 90%
Your emotions react to statistics before your brain does. Ten rules for getting the numbers right.
by Tim Harford 2020
4.12
8k+ 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 90%
Why most Salesforce dashboards fail: bad folder permissions, missing fields, and how to fix them.
by David Carnes 2023
5.00
1 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
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
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 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 90%
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
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
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
How Data Happened Summary
How Data Happened 90%
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
by Chris Wiggins 2023
3.54
467 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 90%
Statistics taught through code: why simulation and real data beat memorization every time.
by Allen B. Downey 2011
3.64
469 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 90%
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 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
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
DAMA-DMBOK Summary
DAMA-DMBOK 90%
Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.
by DAMA International 2017
4.15
172 ratings
Bursts
by Albert-László Barabási • 2010
Why your email bursts, your travels repeat, and history rhymes: one hidden law of priority.
3.30
1k+
Bursts Summary
Bursts 90%
Why your email bursts, your travels repeat, and history rhymes: one hidden law of priority.
by Albert-László Barabási 2010
3.30
1k+ ratings
Basketball on Paper
by Dean Oliver • 2003
Basketball's scoreboard is a liar. Here is what actually decides who wins and who loses.
4.06
467
Basketball on Paper Summary
Basketball on Paper 90%
Basketball's scoreboard is a liar. Here is what actually decides who wins and who loses.
by Dean Oliver 2003
4.06
467 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 90%
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
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 90%
Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.
by Anthony DeBarros 2022
4.26
239 ratings
Sexy Little Numbers
by Dimitri Maex • 2012
Your database hides your most profitable customers. A data-driven method for finding them.
3.80
235
Sexy Little Numbers Summary
Sexy Little Numbers 89%
Your database hides your most profitable customers. A data-driven method for finding them.
by Dimitri Maex 2012
3.80
235 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 89%
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 Smart
by John W. Foreman • 2013
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
4.12
1k+
Data Smart Summary
Data Smart 89%
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
by John W. Foreman 2013
4.12
1k+ ratings
How to Measure Anything
by Douglas W. Hubbard • 1985
That thing you call immeasurable? Redefine measurement; the toolkit is simpler than anyone admits.
3.90
4k+
How to Measure Anything Summary
How to Measure Anything 89%
That thing you call immeasurable? Redefine measurement; the toolkit is simpler than anyone admits.
by Douglas W. Hubbard 1985
3.90
4k+ 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 89%
The statistics data scientists actually use, from EDA to ensembles, with working R and Python code.
by Peter Bruce 2020
4.21
261 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 89%
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
Dataclysm
by Christian Rudder • 2014
Big data from dating sites and social media exposes the uncomfortable truths we hide from ourselves.
3.73
12k+
Dataclysm Summary
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
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
Don't Trust Your Gut
by Seth Stephens-Davidowitz • 2022
Intuition fails at love, wealth, and happiness. Here is what millions of data points say instead.
3.79
2k+
Don't Trust Your Gut Summary
Don't Trust Your Gut 89%
Intuition fails at love, wealth, and happiness. Here is what millions of data points say instead.
by Seth Stephens-Davidowitz 2022
3.79
2k+ 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
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 89%
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 Model Thinker
by Scott E. Page • 2018
Big data without many models is just noise. The case for thinking through multiple frameworks.
3.92
955
The Model Thinker Summary
The Model Thinker 89%
Big data without many models is just noise. The case for thinking through multiple frameworks.
by Scott E. Page 2018
3.92
955 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 89%
The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.
by Zacharias Voulgaris 2018
4.55
20 ratings
The Bestseller Code
by Jodie Archer • 2016
An algorithm spots bestsellers with 80 percent accuracy, reading signals no writing class teaches.
3.81
1k+
The Bestseller Code Summary
The Bestseller Code 89%
An algorithm spots bestsellers with 80 percent accuracy, reading signals no writing class teaches.
by Jodie Archer 2016
3.81
1k+ 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 89%
Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.
by Gwendolyn Stripling 2023
4.33
6 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 89%
Most numbers in the news mislead you; a few mental habits reveal the real story.
by Michael Blastland 2008
3.65
344 ratings
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