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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 89%
The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.
by Wes McKinney 2011
4.17
2k+ 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 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
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 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
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 88%
The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.
by Peter Bruce 2017
4.02
545 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
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
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
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 87%
The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.
by Ryshith Doyle 2019
3.67
6 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 87%
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
by Kirill Eremenko 2018
4.12
211 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 87%
Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.
by Anil Maheshwari 2014
3.76
323 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 87%
Excel, SQL, and the predictive powers that turn a report puller into a company’s oracle.
by Lynn Beighley 2007
4.01
557 ratings
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
Fundamentals of Database Systems Summary
Fundamentals of Database Systems 87%
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
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 87%
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
by Oscar Scratch 2019
3.50
2 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 87%
Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.
by DAMA International 2017
4.15
172 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 87%
Turn chart clutter into clear stories. Practice exercises that make your data impossible to ignore.
by Cole Nussbaumer Knaflic 2019
4.47
179 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 87%
Profit from the data firehose: pick the right data, build a company that acts on it.
by Bernard Marr 2017
3.77
418 ratings
The Art of SQL
by Stephane Faroult • 2006
SQL performance lives in the gap between relational theory and disk reality.
3.98
170
The Art of SQL Summary
The Art of SQL 87%
SQL performance lives in the gap between relational theory and disk reality.
by Stephane Faroult 2006
3.98
170 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 87%
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
by Ian Robinson 2013
3.64
437 ratings
Learning SQL
by Alan Beaulieu • 2005
The SQL guide from beginner to analytics, with exercises for lasting fluency.
3.98
775
Learning SQL Summary
Learning SQL 87%
The SQL guide from beginner to analytics, with exercises for lasting fluency.
by Alan Beaulieu 2005
3.98
775 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 87%
Statistics taught through code: why simulation and real data beat memorization every time.
by Allen B. Downey 2011
3.64
469 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 87%
Why most Salesforce dashboards fail: bad folder permissions, missing fields, and how to fix them.
by David Carnes 2023
5.00
1 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 87%
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
by Chris Wiggins 2023
3.54
467 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 87%
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
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 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
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 87%
Four libraries, one workflow: the Python path from raw data to validated predictions.
by Jake VanderPlas 2016
4.29
676 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 87%
Most data projects fail because they start with data, not strategy. Five questions change that.
by Bernard Marr 2015
3.59
416 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 87%
A single-volume stats class: summarize data, test hunches, and build forecasts, minus the jargon.
by David Borman 2018
2.94
147 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 87%
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
by John D. Kelleher 2018
3.90
876 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 87%
Your emotions react to statistics before your brain does. Ten rules for getting the numbers right.
by Tim Harford 2020
4.12
8k+ 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 87%
The manager's checklist: what to verify before any number shapes your next decision.
by Harvard Business Review 2018
3.86
383 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 87%
Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.
by Gwendolyn Stripling 2023
4.33
6 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 87%
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
by John W. Foreman 2013
4.12
1k+ 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 87%
The critical thinking toolkit for anyone who works with data but never plans to code.
by Alex J. Gutman 2021
4.18
480 ratings
ChatGPT Excel Mastery
by Mr Anand M • 2023
ChatGPT translates your questions into Excel formulas, dashboards, and macros you can actually use.
ChatGPT Excel Mastery Summary
ChatGPT Excel Mastery 87%
ChatGPT translates your questions into Excel formulas, dashboards, and macros you can actually use.
by Mr Anand M 2023
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 87%
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
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 87%
A guide to building models that forecast, classify, and find hidden patterns, without a math degree.
by Anasse Bari 2013
3.74
111 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 87%
Connect spreadsheets and databases to build live dashboards, then share them through Office apps.
by Alberto Ferrari 2016
3.97
202 ratings
Damned Lies and Statistics
by Joel Best • 1998
Every statistic conceals a choice: what to count, what to ignore, and whose agenda it serves.
3.72
830
Damned Lies and Statistics Summary
Damned Lies and Statistics 87%
Every statistic conceals a choice: what to count, what to ignore, and whose agenda it serves.
by Joel Best 1998
3.72
830 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 87%
Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.
by Joe Reis 2022
4.16
945 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 87%
When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.
by Aileen Nielsen 2019
3.77
64 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 87%
A repeatable process for turning messy spreadsheets into clear charts that drive action.
by Cole Nussbaumer Knaflic 2015
4.38
8k+ ratings
DataStory
by Nancy Duarte • 2019
Spreadsheets inform. Stories persuade. The blueprint for turning your analysis into a decision.
3.93
544
DataStory Summary
DataStory 87%
Spreadsheets inform. Stories persuade. The blueprint for turning your analysis into a decision.
by Nancy Duarte 2019
3.93
544 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 87%
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 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 87%
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 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 87%
Python taught for data science: syntax, data structures, and the libraries that unlock the field.
by Christopher Wilkinson 2019
2.50
2 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 87%
You hired the quants. Now learn the questions that turn their numbers into decisions.
by Thomas H. Davenport 2013
3.57
585 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 87%
Your web data is lying to you. The framework that turns page views into decisions.
by Avinash Kaushik 2009
4.13
2k+ 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 87%
The gap between a research question and a publishable finding, bridged step by step.
by C.R. Kothari 1985
3.88
306 ratings
Sams Teach Yourself SQL™ in 10 Minutes
by Ben Forta • 1999
Quick-start SQL: from data retrieval to secure virtual tables, all in ten-minute lessons.
4.09
1k+
Sams Teach Yourself SQL™ in 10 Minutes Summary
Sams Teach Yourself SQL™ in 10 Minutes 86%
Quick-start SQL: from data retrieval to secure virtual tables, all in ten-minute lessons.
by Ben Forta 1999
4.09
1k+ 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 86%
Why overfitting sinks most data projects, and the conceptual tools that stop it.
by Foster Provost 2013
4.13
3k+ ratings
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