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📊 Data Analysts

Resources for those who transform raw data into insight, covering the tools, techniques, and mindsets that turn numbers into narratives and decisions.
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📊 Business Intelligence⛏️ Data Mining
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
🧱 Data Analytics📊 Business Intelligence⛏️ Data Mining
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
📊 Data Analytics Careers🗄️ Relational Databases🔮 Predictive Modeling
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 Analytics Careers🗄️ Relational Databases🔮 Predictive Modeling
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📈 Business Intelligence💾 Big Data
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
📊 Data Strategy📈 Business Intelligence💾 Big Data
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-Driven Marketing📈 Customer Analytics⛏️ Data Mining
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
📊 Data-Driven Marketing📈 Customer Analytics⛏️ Data Mining
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
📊 Business Analytics📈 Data-Driven Decisions🧩 Analytics Frameworks
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
📊 Business Analytics📈 Data-Driven Decisions🧩 Analytics Frameworks
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+
🧹 Data Wrangling🔬 Scientific Computing📊 Data Visualization
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
🧹 Data Wrangling🔬 Scientific Computing📊 Data Visualization
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+
💰 Data As Asset📈 Predictive Analytics🧹 Imperfect Data
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 As Asset📈 Predictive Analytics🧹 Imperfect Data
Big Data
by Bernard Marr • 2015
Most data projects fail because they start with data, not strategy. Five questions change that.
3.59
416
🎯 Data Strategy📊 Business Analytics📈 Performance Metrics
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
🎯 Data Strategy📊 Business Analytics📈 Performance Metrics
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
🏢 Data-Driven Management📊 Business Analytics🧮 Quantitative Thinking
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
🏢 Data-Driven Management📊 Business Analytics🧮 Quantitative Thinking
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 Programming📊 Data Analysis🧹 Data Wrangling
PYTHON FOR DATA ANALYSIS Summary
PYTHON FOR DATA ANALYSIS 90%
The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.
by Ryshith Doyle 2019
3.67
6 ratings
🐍 Python Programming📊 Data Analysis🧹 Data Wrangling
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+
📊 Analytics Strategy🔮 Predictive Modeling📋 Fact-Based Decisions
Competing on Analytics Summary
Competing on Analytics 90%
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
📊 Analytics Strategy🔮 Predictive Modeling📋 Fact-Based Decisions
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
💾 Sql📊 Data Analysis🗃️ Relational Databases
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
💾 Sql📊 Data Analysis🗃️ Relational Databases
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+
🖥️ Digital Analytics🎯 Performance Indicators🧪 Online Experimentation
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
🖥️ Digital Analytics🎯 Performance Indicators🧪 Online Experimentation
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
📊 Data Analysis🤖 Spreadsheet Automation🐼 Pandas Dataframes
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
📊 Data Analysis🤖 Spreadsheet Automation🐼 Pandas Dataframes
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
🖥️ Crm Administration📊 Dashboard Design📈 Business Reporting
Mastering Salesforce Reports and Dashboards Summary
Mastering Salesforce Reports and Dashboards 89%
Why most Salesforce dashboards fail: bad folder permissions, missing fields, and how to fix them.
by David Carnes 2023
5.00
1 ratings
🖥️ Crm Administration📊 Dashboard Design📈 Business Reporting
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
📊 Data Literacy📈 Business Analytics🧠 Statistical Thinking
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
📊 Data Literacy📈 Business Analytics🧠 Statistical Thinking
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
📊 Data Science📖 Data Literacy🤖 Machine Learning Basics
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
📊 Data Science📖 Data Literacy🤖 Machine Learning Basics
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 Mining🧭 Data Science Methodology📈 Predictive Modeling
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
🔎 Data Mining🧭 Data Science Methodology📈 Predictive Modeling
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📈 Data Analytics🗄️ Data Management
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
📊 Sports Analytics📈 Data Analytics🗄️ Data Management
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
👔 Data Governance🏢 Enterprise Data Strategy🧱 Data Architecture
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
👔 Data Governance🏢 Enterprise Data Strategy🧱 Data Architecture
Data Science for Business
by Foster Provost • 2013
Why overfitting sinks most data projects, and the conceptual tools that stop it.
4.13
3k+
📊 Business Analytics⛏️ Data Mining📏 Model Evaluation
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
📊 Business Analytics⛏️ Data Mining📏 Model Evaluation
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+
📊 Data Science🔮 Predictive Analytics📈 Big Data
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
📊 Data Science🔮 Predictive Analytics📈 Big Data
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
📊 Data Science📈 Statistical Thinking🧹 Data Wrangling
Doing Data Science Summary
Doing Data Science 89%
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
📊 Data Science📈 Statistical Thinking🧹 Data Wrangling
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 Data Science📈 Applied Statistics🔍 Exploratory Data Analysis
Practical Statistics for Data Scientists Summary
Practical Statistics for Data Scientists 89%
The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.
by Peter Bruce 2017
4.02
545 ratings
🛠️ Practical Data Science📈 Applied Statistics🔍 Exploratory Data Analysis
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
🧠 Data Literacy🤖 Machine Learning Basics📈 Predictive Analytics
Numsense! Data Science for the Layman Summary
Numsense! Data Science for the Layman 89%
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 Literacy🤖 Machine Learning Basics📈 Predictive Analytics
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
📊 Data Science🤖 Machine Learning🔍 Exploratory Data Analysis
Python Machine Learning Case Studies Summary
Python Machine Learning Case Studies 89%
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
📊 Data Science🤖 Machine Learning🔍 Exploratory Data Analysis
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
🧱 Data-Driven Management📖 Data Literacy🎯 Metric Selection
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
🧱 Data-Driven Management📖 Data Literacy🎯 Metric Selection
Think Stats
by Allen B. Downey • 2011
Statistics taught through code: why simulation and real data beat memorization every time.
3.64
469
💻 Computational Statistics🔍 Exploratory Data Analysis🐍 Python Data Analysis
Think Stats Summary
Think Stats 89%
Statistics taught through code: why simulation and real data beat memorization every time.
by Allen B. Downey 2011
3.64
469 ratings
💻 Computational Statistics🔍 Exploratory Data Analysis🐍 Python Data Analysis
Google Analytics
by Justin Cutroni • 2007
Turn Google Analytics from a hit counter into a decision engine with the right setup.
3.72
129
📊 Web Analytics📈 Marketing Analytics🎯 Conversion Optimization
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
📊 Web Analytics📈 Marketing Analytics🎯 Conversion Optimization
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 Programming📊 Data Science📐 Programming Fundamentals
Python Data Science Summary
Python Data Science 89%
Python taught for data science: syntax, data structures, and the libraries that unlock the field.
by Christopher Wilkinson 2019
2.50
2 ratings
🐍 Python Programming📊 Data Science📐 Programming Fundamentals
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
🧮 History Of Statistics🏛️ Data And Society⚖️ Data Ethics
How Data Happened Summary
How Data Happened 88%
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
by Chris Wiggins 2023
3.54
467 ratings
🧮 History Of Statistics🏛️ Data And Society⚖️ Data Ethics
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
📊 Statistical Computing🔍 Exploratory Data Analysis📐 Statistical Inference
Practical Statistics for Data Scientists Summary
Practical Statistics for Data Scientists 88%
The statistics data scientists actually use, from EDA to ensembles, with working R and Python code.
by Peter Bruce 2020
4.21
261 ratings
📊 Statistical Computing🔍 Exploratory Data Analysis📐 Statistical Inference
Statistics 101
by David Borman • 2018
A single-volume stats class: summarize data, test hunches, and build forecasts, minus the jargon.
2.94
147
📊 Introductory Statistics📈 Data Analysis🧐 Statistical Literacy
Statistics 101 Summary
Statistics 101 88%
A single-volume stats class: summarize data, test hunches, and build forecasts, minus the jargon.
by David Borman 2018
2.94
147 ratings
📊 Introductory Statistics📈 Data Analysis🧐 Statistical Literacy
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
📊 Data Science🔮 Predictive Modeling🐥 Beginner Guides
Predictive Analytics For Dummies Summary
Predictive Analytics For Dummies 88%
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🔮 Predictive Modeling🐥 Beginner Guides
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
📊 Business Intelligence📈 Data Analytics🖥️ Microsoft Bi Tools
Introducing Microsoft Power BI Summary
Introducing Microsoft Power BI 88%
Connect spreadsheets and databases to build live dashboards, then share them through Office apps.
by Alberto Ferrari 2016
3.97
202 ratings
📊 Business Intelligence📈 Data Analytics🖥️ Microsoft Bi Tools
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+
🧮 Statistical Literacy🔍 Data Skepticism🧠 Motivated Reasoning
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
🧮 Statistical Literacy🔍 Data Skepticism🧠 Motivated Reasoning
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
📊 Data Science Management🤖 Ai Implementation⚙️ Mlops
Why Data Science Projects Fail Summary
Why Data Science Projects Fail 88%
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 Science Management🤖 Ai Implementation⚙️ Mlops
Python Data Science Handbook
by Jake VanderPlas • 2016
Four libraries, one workflow: the Python path from raw data to validated predictions.
4.29
676
📊 Data Science🤖 Machine Learning🐍 Scientific Python
Python Data Science Handbook Summary
Python Data Science Handbook 88%
Four libraries, one workflow: the Python path from raw data to validated predictions.
by Jake VanderPlas 2016
4.29
676 ratings
📊 Data Science🤖 Machine Learning🐍 Scientific Python
Data Smart
by John W. Foreman • 2013
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
4.12
1k+
📊 Spreadsheet Modeling📈 Business Analytics🤖 Machine Learning For Managers
Data Smart Summary
Data Smart 88%
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
by John W. Foreman 2013
4.12
1k+ ratings
📊 Spreadsheet Modeling📈 Business Analytics🤖 Machine Learning For Managers
Dataclysm
by Christian Rudder • 2014
Big data from dating sites and social media exposes the uncomfortable truths we hide from ourselves.
3.73
12k+
📊 Big Data💘 Online Dating🖥️ Digital Anthropology
Dataclysm Summary
Dataclysm 88%
Big data from dating sites and social media exposes the uncomfortable truths we hide from ourselves.
by Christian Rudder 2014
3.73
12k+ ratings
📊 Big Data💘 Online Dating🖥️ Digital Anthropology
Graph Databases
by Ian Robinson • 2013
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
3.64
437
🕸️ Graph Databases🗄️ Nosql Databases📐 Graph Theory
Graph Databases Summary
Graph Databases 88%
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
by Ian Robinson 2013
3.64
437 ratings
🕸️ Graph Databases🗄️ Nosql Databases📐 Graph Theory
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+
🧮 Business Analytics📊 Decision Analysis🔢 Statistical Thinking
How to Measure Anything Summary
How to Measure Anything 88%
That thing you call immeasurable? Redefine measurement; the toolkit is simpler than anyone admits.
by Douglas W. Hubbard 1985
3.90
4k+ ratings
🧮 Business Analytics📊 Decision Analysis🔢 Statistical Thinking
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 Analytics📊 Sports Analytics📈 Performance Metrics
Basketball on Paper Summary
Basketball on Paper 88%
Basketball's scoreboard is a liar. Here is what actually decides who wins and who loses.
by Dean Oliver 2003
4.06
467 ratings
🏀 Basketball Analytics📊 Sports Analytics📈 Performance Metrics
Practical Data Analytics for BFSI
by Mr. Bharat Sikka • 2023
ATM refills, fraud alerts, loan approvals: the data models that run a modern bank.
🏦 Banking Analytics💼 Financial Services🗂️ Data Governance
Practical Data Analytics for BFSI Summary
Practical Data Analytics for BFSI 88%
ATM refills, fraud alerts, loan approvals: the data models that run a modern bank.
by Mr. Bharat Sikka 2023
🏦 Banking Analytics💼 Financial Services🗂️ Data Governance
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
🛠️ Data Engineering🏗️ Data Architecture🔗 Data Pipelines
Fundamentals of Data Engineering Summary
Fundamentals of Data Engineering 88%
Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.
by Joe Reis 2022
4.16
945 ratings
🛠️ Data Engineering🏗️ Data Architecture🔗 Data Pipelines
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
📊 Predictive Analytics💼 Business Analytics🤖 Supervised Learning
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
📊 Predictive Analytics💼 Business Analytics🤖 Supervised Learning
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
📊 Data Visualization🐍 Python Programming📈 Chart Creation
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 Visualization🐍 Python Programming📈 Chart Creation
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
🧮 Scientific Computing🔄 Data Manipulation📊 Data Visualization
Python for Data Analysis Summary
Python for Data Analysis 88%
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
by Oscar Scratch 2019
3.50
2 ratings
🧮 Scientific Computing🔄 Data Manipulation📊 Data Visualization
Effective Data Storytelling
by Brent Dykes • 2019
Your data is sound and nobody acts. What the spreadsheet is missing.
4.20
305
🎯 Data Storytelling📊 Data Visualization📖 Narrative Design
Effective Data Storytelling Summary
Effective Data Storytelling 88%
Your data is sound and nobody acts. What the spreadsheet is missing.
by Brent Dykes 2019
4.20
305 ratings
🎯 Data Storytelling📊 Data Visualization📖 Narrative Design
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
📈 Time Series Analysis🔧 Feature Engineering🧹 Data Preparation
Practical Time Series Analysis Summary
Practical Time Series Analysis 88%
When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.
by Aileen Nielsen 2019
3.77
64 ratings
📈 Time Series Analysis🔧 Feature Engineering🧹 Data Preparation
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