Dr. Alvin Ang

 Statistics

• How to Lie with Statistics.pdf

• How Charts Lie.pdf

• How to Lie with Charts.pdf

• Business Analytics by James Evans.pdf

• Practical Statistics for Data Scientists.pdf

• Think Stats.pdf

• https://probability4datascience.com/index.html

• https://onlinestatbook.com/

• https://www.alvinang.sg/s/1.pdf (textbook part 1)

• https://www.alvinang.sg/s/2.pdf (textbook part 2)

• https://www.alvinang.sg/s/3.pdf (textbook part 3)

• MTH219 Study Guide

• MTH220 STUDY GUIDE.pdf

• https://www.alvinang.sg/s/BUS-105-Study-Guide-2013-SPSS.pdf

• https://www.alvinang.sg/s/BUS105_Study-Guide-2014-excel.pdf

• https://www.alvinang.sg/s/BUS105_StudyGuide-2016-excel.pdf

• https://www.alvinang.sg/s/BUS105_StudyGuide-2019.pdf

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R Ebooks

• Deep Learning Made Easy with R by ND Lewis.pdf

• N.D. Lewis - Machine Learning made easy with R-N.D. Lewis (2017).pdf

• Intro to ML with R.pdf

• Machine Learning with R.pdf

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DOE

• Using JMP.pdf

• Discovering JMP.pdf

• JMP Basic Analysis and Graphing.pdf

• JMP Modeling and Multivariate Methods.pdf

• Fundamentals of Predictive Analytics with JMP - 1.pdf

• Fundamentals of Predictive Analytics with JMP - 2.pdf

• Building Better Models with JMP Pro.pdf

• JMP Essentials - 1.pdf

• JMP Essentials - 2.pdf

• Introduction to Six SIGMA Statistical Quality Control and DOE.pdf

• Applied DOE and Taguchi Methods.pdf

• DOE for Engineers and Scientists.pdf

• Introduction to DOE with JMP.pdf

• DOE Using JMP - 1.pdf

• DOE Using JMP - 2.pdf

• DOE Using JMP - 3.pdf

• JMP 5 DOE Guide.pdf

• JMP 8 DOE Guide.pdf

• JMP 10 DOE Guide.pdf

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ML4Trading

• Handbook of Technical Analysis.pdf

• Technical Analysis from A to Z.pdf

• Technical Analysis Plain and Simple.pdf

• Technical Analysis of Stock Trends Explained.pdf

• Machine Learning for Finance (Klaas).pdf

• Deep Learning for Finance - Sofien.pdf

• Machine Learning for Algorithmic Trading by Stefan Jansen.pdf

• Systematic multi‐factor trading strategy based on SGX market.pdf

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Python

• ANL252 Python SUSS Course.pdf

• Introduction to Programming using Python by Daniel Liang

• NLP Python.pdf

• Python Basics Practical Introduction Full Version.pdf

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Python for Finance

• Python for Finance by yves hilpisch.pdf

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DataOps

• CDO’s Playbook.pdf

• CDO Management Handbook.pdf

• Case for the CDO.pdf

• CDO Data Governance Playbook.pdf

• The DataOps Cookbook.pdf

• Practical DataOps.pdf

• Combining DataOps, MLOps and DevOps.pdf

• Data Teams.pdf

• Ultimate Guide to DataOps by Saagie.pdf

• Ultimate Guide to DataOps by Eckerson.pdf

• DAMA Guide 1.pdf

• DAMA Guide 2.pdf

• DAMA Exam Guide.pdf

• DAMA DMBOK 1.pdf

• DAMA DMBOK 2.pdf

• DCAM Framework.pdf

• DMM - CMMI Framework.pdf

• 10 Steps to Data Quality.pdf

• A Practical Guide to Data Quality.pdf

• Big Data Governance.pdf

• A Model for Data Governance – Organising Accountabilities for Data Quality Management.pdf

• Non-Invasive Data Governance Framework.pdf

• Managing Data Quality - A Practical Guide.pdf

• Customer Data Integration.pdf

• https://cornerstone.lib.mnsu.edu/cgi/viewcontent.cgi?article=2125&context=etds

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Machine Learning

• Python ML Tutorial 1.pdf

• Python ML Tutorial 2.pdf

• ML Mastery with WEKA.pdf

• Machine Learning for Everyone.pdf

• Machine Learning with Tensorflow.pdf

• Practical Java Machine Learning.pdf

• Amazon Machine Learning Developer’s Guide.pdf

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EBooks

• https://bookdown.org/

• https://pub.deadnet.se/

• https://drive.google.com/drive/folders/1CgN7DE3pNRNh_4BA_zrrMLqWz6KquwuD

• https://freecomputerbooks.com/

• https://www.libgen.is/

• https://pdfdrive.to/

• https://www.pdfdrive.com/

• Practical Guide to Github using Windows.pdf

• Ecommerce analytics _ analyze and improve the impact of your digital strategy.pdf

• The Executive Guide to Artificial Intelligence.pdf

• Bullshit Jobs_ A Theory.pdf

• An Introduction to Stochastic Modeling - Karlin.pdf

• Sheldon Ross - Intro to Probability Models.pdf

• Sheldon Ross - Answers to Probability Models.pdf

• Sheldon Ross - First Course in Probability.pdf

• The Ultimate Guide to Writing a Dissertation.pdf

• Getting Started with Kanban.pdf

• Discrete Event Simulation I - Jerry Banks.pdf

• Discrete Event Simulation II - Jerry Banks.pdf

• What Are ChatGPT and Its Friends.pdf

• How to (Actually) Use ChatGPT to Its Full Potential.pdf

• Humans need not apply by Jerry Kaplan.pdf

• AI What Everyone needs to know by Jerry Kaplan.pdf

• Generative AI by Jerry Kaplan.pdf

• Semiconductor in the 21st Century - Michael Porter.pdf

• Physics of the Future by Michio Kaku.pdf

• Chip War by Chris Miller 1.pdf

• Chip War by Chris Miller 2.pdf

• Docker_ A Project-Based Approach.pdf

• Data Engineering with Alteryx.pdf

• Fundamentals of Data Engineering.pdf

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Tensorflow Deep Learning

• A Visual Introduction to Deep Learning (sample).pdf

• A Visual Introduction to Deep Learning (part 1).pdf

• A Visual Introduction to Deep Learning (part 2).pdf

• Neural Network Principles by Robert Havey.pdf

• Deep Learning with Python.pdf

• Deep Learning with Python- Jason brownlee.pdf

• Python Deep-Learning-Sharma Kishore.pdf

• Python Deep Learning by Ivan Vasilev.pdf

• Deep Learning with Applications Using Python.pdf

• the little book of deep learning by Francois.pdf

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Warehousing and Inventory Management

• Supply Chain Process Reengineering by Dr Albert Tan.pdf

• Manufacturing planning and control.pdf

• Inventory Control and Management by Donald Waters.pdf

• Warehouse Science.pdf

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Data Ranch

• PCA by Data Ranch.pdf

• Clustering by Data Ranch.pdf

• Binary Classification & Performance Metrics by Data Ranch.pdf

• Decision Trees by Data Ranch.pdf

• Random Forest by Data Ranch.pdf

• SVM by Data Ranch.pdf

• t-SNE by Data Ranch.pdf

• Deep Fake by Data Ranch.pdf

• Logistics Regression by Data Ranch.pdf

• Regression Analysis by Data Ranch.pdf

• Supervised Learning by Data Ranch.pdf

• What is Unsupervised Learning by Data Ranch.pdf

• Generative AI by Data Ranch.pdf

• Data Cleansing Steps by Data Ranch.pdf

• Data Wrangling Steps by Data Ranch.pdf

• DL & NN by Data Ranch.pdf

• Essential Chart Types by Data Ranch.pdf

• RNN by Data Ranch.pdf

• CNN by Data Ranch.pdf

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Whitepapers

• Singapore-Fintech-Report-2021-Alibaba-Cloud-Fintech-News-SG

• Fengshui Prosper Guide 2021_E

• ey-global-becoming-an-analytics-driven-organization

• asean-sme-transformation-study-2022

• STRIPE - The_DNA_of_an_Adaptive_Enterprise

• STRIPE - Stripe_2023_Insights_Report

• MCKINSEY - The Economy Of The Future

• MCKINSEY Covid Report

• LOUSY - EQUINIX architecting_the_digital_infrastructure_for_singapore

• BI_Maturity_Framework_eBook_1.23V1

• ASEAN anonymisation.pdf

• design thinking - the importance of the problem space

• stock calculation

• oracle netsuite - 7-steps-to-recession-proof-your-business

• What is a Docker?

• EDB Singapore Tech Ecosystem 2023

• EDB Guide to Hiring Your Dream Tech Team in Singapore 2023

• EDB Guide to Setting Up Your Business In Singapore Tech-Startup_Tech-Guide 2023

• GIC 2024 Government Portfolio.pdf

• Smart Industry Readiness Index (SIRI) by EDB.pdf

• Introduction to Groundup.AI

• IMDA - ICT Navigation Tool 2020

• SIT-Industry-Partner-Research-Paper

• SMU LARC Analytics Newsletter

• IntroductionToBlockchainTechnology-by PAtrick Oh

• slides from unicsoft

• L-Energy Capital introduction

• UOB Business Outlook Study 2025 - APAC.pdf

• UOB Business Outlook Study 2025 - Singapore.pdf

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