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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 92%
The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.
by Wes McKinney 2011
4.17
2k+ 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 92%
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 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
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
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 91%
Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.
by Anil Maheshwari 2014
3.76
323 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 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 91%
Python taught for data science: syntax, data structures, and the libraries that unlock the field.
by Christopher Wilkinson 2019
2.50
2 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
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 91%
Excel, SQL, and the predictive powers that turn a report puller into a company’s oracle.
by Lynn Beighley 2007
4.01
557 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
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 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 91%
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
by Oscar Scratch 2019
3.50
2 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 90%
Connect spreadsheets and databases to build live dashboards, then share them through Office apps.
by Alberto Ferrari 2016
3.97
202 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
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 90%
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 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 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 90%
Four libraries, one workflow: the Python path from raw data to validated predictions.
by Jake VanderPlas 2016
4.29
676 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 90%
Learn Python through data: plot random walks, map countries, and build interactive charts from zero.
by Eric Matthes 2015
4.35
3k+ 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
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
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 90%
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
by John D. Kelleher 2018
3.90
876 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
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 90%
Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.
by Piyanka Jain 2014
3.60
144 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 90%
Most data projects fail because they start with data, not strategy. Five questions change that.
by Bernard Marr 2015
3.59
416 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 90%
Your web data is lying to you. The framework that turns page views into decisions.
by Avinash Kaushik 2009
4.13
2k+ 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 90%
Learn Python by probing data: scrape the web, query databases, and make the file system obey.
by Charles Severance 2002
3.99
619 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
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 90%
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
by John W. Foreman 2013
4.12
1k+ 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 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
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 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 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
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 90%
Your SPSS survival guide: plain-English steps from data entry to ANOVA, no stats panic required.
by Julie Pallant 2001
4.11
372 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 90%
ChatGPT translates your questions into Excel formulas, dashboards, and macros you can actually use.
by Mr Anand M 2023
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
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 90%
You hired the quants. Now learn the questions that turn their numbers into decisions.
by Thomas H. Davenport 2013
3.57
585 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 89%
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
by Ian Robinson 2013
3.64
437 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
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 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
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 89%
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
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 89%
Turn Google Analytics from a hit counter into a decision engine with the right setup.
by Justin Cutroni 2007
3.72
129 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 89%
Python for absolute beginners: automate spreadsheets, scrape websites, analyze data step by step.
by MARK CODING 2020
5.00
1 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
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 89%
The SQL guide from beginner to analytics, with exercises for lasting fluency.
by Alan Beaulieu 2005
3.98
775 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 89%
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
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 89%
Indentation is syntax, functions are data, and the standard library does half the work already.
by Naomi R. Ceder 2000
3.87
277 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 89%
Companies know whether you'll leave, buy, or default before you've decided. Here's how.
by Eric Siegel 2013
3.66
2k+ 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 89%
The playbook for installing analytics inside a sports organization, from data to decision.
by Benjamin C. Alamar 2013
3.51
130 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 89%
The manager's checklist: what to verify before any number shapes your next decision.
by Harvard Business Review 2018
3.86
383 ratings
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