Step 1: Local Laptop Cluster Setup

Teach them Local laptops Cluster Setup… then ask them to do it on another laptop and try

scala-2.12.4

jdk-8u202-windows-x64

Anaconda3-2022.10-Windows-x86_64

https://www.apache.org/dyn/closer.lua/spark/spark-3.3.1/spark-3.3.1-bin-hadoop2.tgz

https://github.com/steveloughran/winutils/archive/refs/heads/master.zip

Environment Variables (windows)

HADOOP_HOME = C:\SPARK\hadoop

JAVA_HOME = C:\Program Files\Java\jdk1.8.0_202

SCALA_HOME = C:\SPARK\scala

SPARK_HOME = C:\SPARK\spark

PYSPARK_PYTHON = C:\Users\user\anaconda3\python.exe

PATH Variables:

%SPARK_HOME%\bin

%HADOOP_HOME%\bin

%SCALA_HOME%\bin

%JAVA_HOME%\bin

Jupyter Environment Variables

PYSPARK_DRIVER_PYTHON = C:\Users\User\anaconda3\Scripts\jupyter.exe

PYSPARK_DRIVER_PYTHON_OPTS = notebook

STep 2: Local Spark Shell

people.json

Step 3: Spark cluster in Google Cloud

wordcount.py

pi.py

Step 4: Spark cluster in AWs Databricks

telecom_churn.csv

Step 5: Spark on colab

How To Start A Spark Session & Read in CSV frrom Website.ipynb

Step 6: Pyspark DataFrames

Dataframes with PySpark Example 1 by Dr Alvin.ipynb

Dataframes with PySpark Example 2 by Dr Alvin.ipynb

purchases.csv (this dataset has 4 millions rows.. u can’t open in Excel!)

DataFrames with PySpark Example 2 (EXERCISE) by Dr Alvin Ang.ipynb

Step 7: Showcase VAEX

VAEX for Crunching Big Data by Dr Alvin Ang.ipynb

Automated_Traffic_Volume_Counts.csv (this dataset is 3GB!!!)

Others

https://sparkbyexamples.com/

dl_data.csv

iris_dataset.csv

iris_dataset_prediction.csv

sales.csv

hierarchical-clustering-with-python-and-scikit-learn-shopping-data.csv

transformations.csv

customer_data.csv

Structured_Streaming_with_PySpark.ipynb

KMEANS_PySpark_by_Dr_Alvin.ipynb

Hierarchical_Clustering_In_Spark_With_Bisecting_K_Means.ipynb

PCA_with_PySpark.ipynb

NN_Pyspark_Dr_Alvin_Ang.ipynb

Normalizer,_Scaler,_Bucketizer_and_Binarizer_with_PySpark_by_Dr_Alvin_Ang.ipynb

8 steps to learn Spark.pdf

Pyspark Cheatsheet.pdf

https://www.linkedin.com/in/nandeshreddy/

Optimus.pdf

Soya Kim - Big Data Healthcare

Spark Commands by Raj Bharat.txt

Deep Learning with Applications Using Python.pdf

the little book of deep learning by Francois.pdf

SGX Stock Names.txt

Deep Learning with Python.pdf

DL & NN by Data Ranch.pdf

NN_Python_Dr_Alvin_Ang.ipynb

https://starttechacademy.com/cnn-for-computer-vision-in-python/

Keras Datasets: https://keras.io/api/datasets/

Excel Mario Pixels.xls

Singtel.csv

CHEQUE - Digital Recognition by Deep Learning Techniques.pdf

halal food prediction paper using ANN.pdf

https://thehighestofthemountains.com/brainmaps.html

deep learning interview questions.pdf

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

Keras Cheatsheet.pdf

Neural Network Principles by Robert Havey.pdf

https://stanford.edu/~shervine/teaching/cs-229/cheatsheet-deep-learning

https://raw.githubusercontent.com/tertiarycourses/datasets/master/video_game_sales_training.csv

https://generated.photos/faces/asian-race

ANN

Dr. Alvin’s IBF Day 3 - ANN Regression.ipynb

Dr. Alvin’s IBF Day 3 - ANN Classification.ipynb

CNN

Understanding CNN with Dr. Alvin.ipynb

Dr. Alvin's IBF Day 4 CNN on MNIST Digits Dataset.ipynb

(Classifying Handwritten Digits with CNN)

Trained Classification Model for Fashion MNIST Dataset.h5

Predicting Images of Clothes using CNN by Dr Alvin Ang.ipynb

Predicting Images of Common Objects using CNN by Dr Alvin Ang.ipynb

CNN by Data Ranch.pdf

https://setosa.io/ev/image-kernels/

RNN

Understanding LSTM Input and Output (RNN) by Dr. Alvin Ang.ipynb

IBF Day 4: Predicting DBS Stock Price using RNN by Dr Alvin Ang.ipynb

RNN by Data Ranch.pdf

LSTM Forex Paper.pdf

Beginner

[List.Tuples.Dictionary.Sets] + [Operators.True.False.And.Not.<.==.>] + [If.Else.While.For.Loops] + [Functions.Def.Lambda]

Day 1 with Dr Alvin.ipynb

https://codebeautify.org/python-formatter-beautifier

https://black.vercel.app/

NICF Python Fundamental Course for Beginners.ipynb

Basic Python Handwritten Programming Notes.pdf

python basics - Practical INtroduction.pdf

why python index start at 0.pdf

Numpy User Guide.pdf

python notes.pdf

Python Tips and Tricks.pdf

python basics cheatsheet.pdf

Intermediate

[Comprehension.i.for.i.in.range] + [Mounting.Google.Drive.File.IO] + [Object.Oriented.Programming.Class.Inheritance .Parents] + [SQLite.Databasing] + [Error.Handling.IndexError.IOError.TypeError.ValueError]

Day 2 with Dr Alvin.ipynb

Mounting and Creating Files in Google Drive with Colab.ipynb

Updating HR Records using Object Oriented Programming by Dr. Alvin Ang

• Ch 0: Understanding Instance / Init / Self.ipynb

• Ch 1: Using only 1 Parent Class (Full Time Employees).ipynb

• Ch 2: Using 1 Parent Class (Employee) and 2 Child Classes (Full Time vs Part Time Staff).ipynb

https://pandas.pydata.org/docs/user_guide/visualization.html#visualization-barplot

https://python-tricks.com/matplotlib-introduction/

https://python-tricks.com/plotting-in-pandas/

https://www.tutorialspoint.com/how-to-change-the-text-color-of-font-in-the-legend-using-matplotlib

https://tonysyu.github.io/raw_content/matplotlib-style-gallery/gallery.html

https://www.digitalocean.com/community/tutorials?q=python&hits_per_page=12

Python PDFS

ANL252 Python SUSS Course.pdf

Introduction to Programming using Python by Daniel Liang

69 Python Projects.pdf

30 Python Libraries to Boost Your Data Science Productivity.pdf

Python Data Science Tips Full Archive by avi chawla. subs tack. com

NLP Python.pdf

Alvin's Answer for Plano's Assessment.pdf

OOP cheatsheet.pdf

PANDAS

[Import.Export.CSV.Dataframe.Slicing.Filtering.DropNA] + [Join.Append.Merge.Pivot.Groupby] + [Box.Scatter.Pie.Area.Histogram.Plots] + [Correlation.DateTime.Time.Series.Plots] + [Pipe.Apply]

Day 3 with Dr Alvin.ipynb (PANDAS)

How to Join Append Concat Two Tables with Python by Dr Alvin Ang.ipynb

pandas cheat sheet.pdf

Restructuring CSV for Data Science.pdf

Statistics

[Descriptive.Stats] + [Seaborn.Visualization] + [Hypothesis.Testing.ANOVA] + [LR.MR.R2]

Day 4 with Dr Alvin.ipynb (Statistics)

Python Visualization

Data Visualization with Python by Dr Alvin Ang.ipynb

Top 7 Python Libraries for Data Visualization.pdf

Python Plotly.pdf

Practical Guide to Matplotlib.pdf

Python Specials

DataPrep + MissingNo by Dr Alvin Ang.ipynb

Ways to Display Json Formats Neatly in Python by Dr Alvin Ang.ipynb

How to Create Random Data with Python by Dr Alvin Ang.ipynb

ProxyCurl_API.ipynb

boston_housing_data.csv

Canada.xlsx

List of Seaborn CSVs

fmri.csv

iris.csv

titanic.csv

module_5_auto.csv

https://github.com/xiaohk/stickyland

https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb

https://www.kdnuggets.com/2022/12/top-5-nlp-cheat-sheets-beginners-professional.html

AirBnB NYC Data 2019.csv

https://docs.python.org/3/library/functions.html

https://docs.python.org/3/library/stdtypes.html

https://docs.python.org/3/index.html

https://docs.python.org/3/library/index.html

https://fortune.com/education/articles/using-python-for-data-science/

Steps in Data Wrangling and Cleansing

Data Cleansing Steps by Data Ranch.pdf

Data Wrangling Steps by Data Ranch.pdf

Converting JSON to CSV from Scikit Learn Datasets by Dr. Alvin Ang.ipynb

How to Do Train Test Splits with Python by Dr Alvin Ang.ipynb

Data Wrangling a Population of Countries’ Dataset

Population of Countries in 2000.csv

Data Wrangling a Population of Countries Dataset by Dr Alvin Ang.ipynb

Data Wrangling & Visualizing Healthcare Datasets

Hospital Admissions

hospital-admissions-by-sector-annual.csv

Data Cleansing a Hospital Admissions Dataset by Dr Alvin Ang.ipynb

Health Expenditure

government-health-expenditure.csv

Data Cleansing a Government Health Expenditure Dataset.ipynb

Long Term Care Facilities

number-of-residential-long-term-care-facilities-sector-breakdown.csv

Data Wrangling a Long Term Care Facilities Dataset by Dr Alvin Ang.ipynb

Data Cleansing a Rock Song Dataset

rock.csv

Data Cleansing a Rock Song Dataset with Python by Dr. Alvin Ang.ipynb

Data Wrangling Air Quality Datasets

Air Quality No 2.csv

Air Quality PM 25.csv

Data Wrangling Air Quality Datasets with Python by Dr Alvin Ang.ipynb

Searching and Slicing a Video Games Dataset

vgsales.csv

Searching and Slicing a Video Games Dataset with Python by Dr Alvin Ang.ipynb

Wrangling Automobile Datasets

Slicing & Dicing a Motorcars Dataset (European + Japanese Cars)

mtcars.csv

Slicing & Dicing a Motorcars Dataset with Python by Dr Alvin Ang.ipynb

Factors Affecting Price of European and Japanese Cars

automobileEDA.csv

Feature Selection on Automobile Dataset with Python by Dr. Alvin Ang.ipynb

Dealing with Missing Data in European Cars Dataset

auto.csv

Data Cleansing a European Automobile Dataset with Python by Dr Alvin Ang.ipynb

Cross Validating a European and Japanese Cars Dataset

cleansed_auto.csv

Cross Validating a European and Japanese Car Dataset by Dr Alvin Ang.ipynb

Python for Finance

LendingClubLoan(200 rows).csv

LendinClubLoan(22k rows - very dirty).csv

Repayment.csv

Lending Club Loan Data Dictionary.xls

Feature Selection on Lending Club Loan Dataset by Dr Alvin Ang.ipynb

Data Cleansing the Lending Club Loan Dataset by Dr Alvin Ang.ipynb

Train Test Splitting the Lending Club Loan Dataset by Dr Alvin Ang.ipynb

Imploring YFinance by Dr Alvin Ang.ipynb

https://home.tpq.io/

Python for Finance by yves hilpisch.pdf

WSQ Python Programming for Finance.ipynb

TO_IMPROVE.ipynb

Hypothesis Testing and ANOVA with Python

sleep.csv

chickwts.csv

college.csv

Hypothesis Testing and ANOVA with Python by Dr Alvin Ang.ipynb

Machine Learning for Everyone.pdf

Machine Learning with Tensorflow.pdf

Practical Java Machine Learning.pdf

Amazon Machine Learning Developer’s Guide.pdf

Supervised Learning by Data Ranch.pdf

What is Unsupervised Learning by Data Ranch.pdf

Generative AI by Data Ranch.pdf

Learn ML by Shivam Modi.pdf

ML guide with Code by Shivam Modi.pdf

ML Life Cycle by Shivam Modi.pdf

Quick Machine Learning in Python.pdf

ML DL AI Cheat sheet by NIKHIL YADAV

Machine Learning Infographics Cheatsheet.pdf

the little book of deep learning

Probability Cheatsheet

AI for Everyone notes by Andrew Ng

ML Cheatsheet

Another ML Cheatsheet

ML Cheatsheet by DataCamp.pdf

https://thecleverprogrammer.com/2020/11/15/machine-learning-projects/

Dataiku ML Basics.pdf

Deep Fake by Data Ranch.pdf

Lecture Notes on AI.pdf

How to Load the Iris Dataset into Python by Dr. Alvin Ang.ipynb

Various Places to Get Datasets for Machine Learning by Dr Alvin Ang.ipynb

Various Ways of Train Test Splits with Python by Dr Alvin Ang.ipynb

Unsupervised Learning

Clustering

KMeans_using_Python_by_Dr_Alvin.ipynb

Hierarchical_Clustering_using_Python.ipynb

Clustering by Data Ranch.pdf

PCA

PCA by Data Ranch.pdf

PCA_with_Python.ipynb

t-SNE by Data Ranch.pdf

Supervised Learning

Linear / Multiple / Polynomial Regression

Advertising.csv

automobileEDA.csv

Simple Linear Regression with Statsmodel by Dr Alvin Ang.ipynb

Simple Linear Regression using SKLearn by Dr Alvin Ang.ipynb

Multiple Regression using Scikit Learn with Python by Dr Alvin Ang.ipynb (Advertising.csv)

Multiple Regression using Scikit Learn with Python (Part II) by Dr Alvin Ang.ipynb (AutomobileEDA.csv)

Polynomial Regression with Python by Dr Alvin Ang.ipynb

Using Multiple Regression OLS to do Feature Importance Selection (on Iris Dataset) by Dr Alvin Ang.ipynb

Regression Analysis by Data Ranch.pdf

Logistics Regression

diabetes.csv

results.csv

Logistics Regression with Python - Student Study Hours Example by Dr Alvin Ang.ipynb

Logistics Regression with Python - Diabetes Example by Dr Alvin Ang.ipynb

Logistics Regression by Data Ranch.pdf

Support Vector Machine (SVM)

Understanding SVM using Python by Dr Alvin Ang.ipynb

Simple SVM Applied to Iris Dataset with Python by Dr Alvin Ang.ipynb

Grid, Random and Bayes Search - Hyperparameter Tuning on SVM with Python by Dr Alvin Ang.ipynb

SVM by Data Ranch.pdf

Decision Tree / Random Forest

Decision Tree (Classification) on the Iris Flower Dataset using Python by Dr Alvin Ang.ipynb

Using Decision Tree Classifier (DTC) to do Feature Importance Selection (on Iris Dataset) by Dr Alvin Ang.ipynb

Using Random Forest Classifier (RFC) to do Feature Importance Selection (on Iris Dataset) by Dr Alvin Ang.ipynb

Random Forest (Classification) on the Iris Flower Dataset using Python by Dr Alvin Ang.ipynb

Decision Trees by Data Ranch.pdf

Random Forest by Data Ranch.pdf

Metrics, Normalization and Regularizations

Binary Classification & Performance Metrics by Data Ranch.pdf

Regression Metrics for ML Models (R2 and MSE) by Dr Alvin Ang.ipynb

Classification Metrics for ML Models by Dr Alvin Ang.ipynb

Bias / Variance

Understanding Bias vs Variance in Python by Dr. Alvin Ang.ipynb

L1 and L2 Regularization

L1 Lasso and L2 Ridge and Elastic Net Regression using Python by Dr Alvin Ang.ipynb

MinMax and Standard Scaler

MinMax Scaler + Standard Scaler in Scikit Learn.ipynb

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

Steps to Teach ML for Trading.txt

Steps for ML Trading by Dr. Alvin Ang

Activity for Logistics regression for Financial Trading (wo RSI & ADX) by Dr Alvin Ang.ipynb

Logistics regression for Financial Trading (FULL) by Dr Alvin Ang.ipynb

Multiple Regression for Financial Trading by Dr Alvin Ang.ipynb

Decision Tree Classifier for Financial Trading by Dr Alvin Ang.ipynb

Random Forest Classifier (RFC) for Financial Trading by Dr Alvin Ang.ipynb

Simple Neural Network for Financial Trading by Dr. Alvin Ang (using Keras).ipynb

Is there a Correlation in Stock Prices between DBS and UOB by Dr Alvin Ang.ipynb

Facilitator Guide for Machine Learning 101 for Financial Trading.ipynb

Simple Linear Regression for TSLA Stock Price Prediction THE WRONG WAY (Negative Demo).ipynb

Simple Linear Regression for TSLA Stock Price Prediction THE RIGHT WAY by Dr Alvin Ang.ipynb

Performing Basic Multiple Regression to Tesla Stock Price Prediction by Dr. Alvin Ang.ipynb

Applying Logistic Regression on TSLA Stock by Dr. Alvin Ang.ipynb

Learning TA-Lib in Python by Dr. Alvin Ang.ipynb

Learning Pyfolio by Dr Alvin Ang.ipynb

How to Plot Candlestick Chart using Plotly by Dr. Alvin Ang.ipynb

Learning Pandas TA by Dr Alvin Ang.ipynb

CFTE

CFTE Syllabus.pdf

CFTE Level 1 Mock Exam.pdf

CFTE Level 2 Mock Exam.pdf

https://eoddata.com/stocklist/SGX.htm (ticker symbol)

https://ml4trading.io/

https://www.trade-ideas.com/

https://seekingalpha.com/

https://algorithmictrading.substack.com/

https://www.quantfactory.ai/

https://www.quantrocket.com/

https://roic.ai/

https://www.backtrader.com/

https://www.priceactionlab.com/Blog/price-action-lab-software/

https://www.tradeoxy.com/

https://wire.insiderfinance.io/

https://tradologics.com/

https://www.alpharithms.com/

https://www.gurufocus.com/guru/warren%2Bbuffett/summary

https://danelfin.com/

https://wavebasis.com/

https://fractalerts.com/

https://www.benzinga.com/apis/

https://forgeglobal.com/

https://equityzen.com/

https://www.youtube.com/@Algovibes

https://greyhoundanalytics.com/

https://www.fxmagnetic.com

https://www.histdata.com/

https://www.dividends.sg/

https://sginvestors.io/

https://quickfs.net/

https://www.dymonasia.com/career/

https://www.xtxmarkets.com/

https://www.360t.com/

https://www.qcp.capital/

https://www.tower-research.com/

https://www.jumptrading.com/

https://drw.com/

https://www.virtu.com/

https://24exchange.com/

https://fairxchange.co.uk/

https://www.bgcg.com/bgc/

https://www.preqin.com/

https://www.okx.com/

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

https://eodhd.medium.com/trading-predictions-using-ai-and-python-cdaad4de3447

https://thepythonlab.medium.com/xgboost-in-stock-returns-prediction-using-technical-indicators-and-vix-index-700fda74b425

https://github.com/suparjotamin/stockie

https://medium.com/geekculture/a-simple-way-to-download-financial-data-from-investing-com-in-python-8262271c804f

https://medium.com/trading-data-analysis/metatrader5-python-trading-bot-230bd19285e9

Basic R Course

Topic 1 - Introduction to R Data Types.R

Topic 2 - R Datasets and Data IO by Dr Alvin.R

Topic 3 - R Data Visualization by Dr Alvin.R

Topic 4 - R Programming by Dr. Alvin.R

Topic 5 - R Statistics by Dr. Alvin.R

Tidyverse Package Course

Topic 1 - Tidyverse Data Cleansing.R

Topic 2 - Tidyverse Data Summary.R

Topic 3 - Tidyverse Statistics.R

Topic 4 - Qualitative Data Analysis (Text Mining).R

Topic 5 - GGPlot Data Visualization.R

Files

vaccination.xlsx

dengue.csv

eisenhower.txt

weather.csv

penguins.csv

quakes.csv

heart.csv

psle.csv

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

Text Mining with R

Text Mining with R by Dr. Alvin Ang.R

TIDY-TEXT-2019

Data Wrangling with R

Data Wrangling with Tidyverse by Dr Alvin Ang.R

Data Wrangling with Core R by Dr Alvin Ang.R

Data Visualization with R

Data Visualisation with BASIC R by Dr. Alvin Ang.R

Data Visualisation with GGPLOT R by Dr. Alvin Ang.R

Regression with R

Simple Linear Regression using R by Dr. Alvin Ang.R

Multiple Regression using R by Dr Alvin Ang.R

Statistics with R

Statistics with Tidyverse by Dr Alvin Ang.R

Correlation Funnel.R

R Sites

https://togaware.com/projects/rattle/index.html

https://universeofdatascience.com/

https://www.r-bloggers.com/2022/06/the-most-overlooked-r-package-that-can-get-you-through-a-data-science-job-interview/

https://online.stat.psu.edu/statprogram/tutorials/statistical-software/r

https://biostat.app.vumc.org/wiki/Main/RS

https://tuos-bio-data-skills.github.io/intro-stats-book/

https://statsandr.com/

https://www.reneshbedre.com/

https://therinspark.com/

https://cran.r-project.org/web/packages/available_packages_by_name.html

https://r4ds.had.co.nz/index.html

https://www.tidytextmining.com/

https://style.tidyverse.org/

https://r-charts.com/

https://posit.co/resources/cheatsheets/

https://yihui.shinyapps.io/formatR/

https://www.kaggle.com/code/rtatman/data-cleaning-challenge-json-txt-and-xls

Profile Links

https://public.tableau.com/app/profile/dr.alvin.ang

https://public.tableau.com/views/EarthquakesOnTheRise-Full/Earthquakestory

https://public.tableau.com/app/profile/hisan.shafaque/viz/1996-97ChicagoBullsBuckets/BullsBuckets

https://public.tableau.com/app/profile/pawan.sachdeva/viz/HowHappyAreWe_15891520173890/HowHappyAreWe

https://public.tableau.com/app/profile/janapati.balaji

• Superstore-Profitability.twbx

https://public.tableau.com/app/profile/thi.ho

https://vizgallery.tableaupublic.com/

Storytelling

Change Over Time:

https://public.tableau.com/app/profile/andy.kriebel/viz/EPLInjuries/InjuryCrisis

Drill Down:

https://public.tableau.com/app/profile/mac.bryla/viz/TellmeaboutWill/TellmeaboutWill

Zoom Out:

https://public.tableau.com/app/profile/peacockworks/viz/VancouverCyclists/VancouverCyclists

Contrast:

https://public.tableau.com/app/profile/robertrouse/viz/Pyramids_1/EgyptianPyramids

Maps

https://public.tableau.com/s/sites/default/files/media/co2_emissions_by_london_borough.zip

USGS_Quake.xlsx

https://community.tableau.com/s/question/0D54T00000C6TDLSA3/singapore-map-not-displayed

https://data.gov.sg/search?res_format=SHP

Singapore Map.twbx

Wrangling

GlobalVehicleSales.xls

acrossthebay10k.xls

Weather.xls

ProductsCustomersOrders.xls

12 Rows of Customer Sales.xls

Others

https://www.data-to-viz.com/

https://www.dataviz-inspiration.com/

https://coolors.co/

https://colorbrewer2.org/

https://www.figma.com/

https://www.uxpin.com/

idashboards.com/dashboard-examples/

github.com/d3/d3/wiki/Gallery

https://informationisbeautiful.net/

Tableau Introduction by Princeton University.pdf

https://tableaupublic.princeton.edu/#/signin

https://www.thetableaustudentguide.com/

https://www.straitstimes.com/singapore/skillsfuture-participation-drops-in-2023-despite-increased-employer-engagement

https://vizzendata.com/

https://www.storytellingwithdata.com/

https://makeovermonday.co.uk/

Tableau Official Help

https://www.tableau.com/about/blog/LOD-expressions

https://public.tableau.com/en-us/s/resources

https://tableaupracticetest.com/#get-our-most-popular-downloads

Tableau whitepaper - visual analysis guidebook.pdf

https://www.tableau.com/products/public/download

https://www.pexels.com/

https://www.freepik.com/

https://unsplash.com/

Superstore

Sample - Superstore (USA).xls

global_superstore_2016.xls

Dengue Cluster Story

World_Bank_CO2.xls

surface-air-temperature-monthly-mean.csv

dengue-clusters-kml.kml

dengue-outbreak-statistics.csv

Product Sales Story

Sales 2016.xls

Products 2016.csv

Insurance Story

insurance.xls

https://www.kaggle.com/simranjain17/insurance

Ameen’s Capstone Project.twbx

Doing Business in Singapore Story

https://www.kaggle.com/datasets/fkosmowski/cdp-ease-of-doing-business

https://public.tableau.com/app/profile/vincenttzc

Doing Business in Singapore.twbx

WB_DoingBusiness_2018-20.xls

Australia’s Bushfires

https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files

https://en.wikipedia.org/wiki/2019-20_Australian_bushfire_season

Singapore Crime

https://public.tableau.com/app/profile/elias8766/viz/ApictureofcrimeinSingapore/Map-rank

Singapore Crime Statistics - Neighborhood Police Centre (2010 to 2014)

Singapore Death Statistics

https://public.tableau.com/app/profile/dr.alvin.ang/viz/SingaporeDeathsStatistics2006-2021/

Top 10 Causes of Death in Singapore (2006 - 2021).xlsx

Singapore’s Master Plan Zones

Planning Area (2017).zip

Subzones (2017).zip

HDB Resale Price

HDB Resale Price (2017 to 2022).csv

Hail Storm

Hail Storm Damage.xls

Tableau Official Cert Practice Exams

Tableau Certified Data Analyst Exam Guide.pdf

Tableau Desktop Specialist Exam Guide.pdf

Tableau Certification Question and Answers.pdf

No. of Females in Singapore

https://dataportal.asia/dataset/192521611_singapore-residents-by-planning-area-age-group-and-sex-june-2016-female

PLAN_BDY_AGE_FEMALE_2016.dbf

PLAN_BDY_AGE_FEMALE_2016.prj

PLAN_BDY_AGE_FEMALE_2016.sbn

PLAN_BDY_AGE_FEMALE_2016.sbx

PLAN_BDY_AGE_FEMALE_2016.shp

PLAN_BDY_AGE_FEMALE_2016.shp (XML)

PLAN_BDY_AGE_FEMALE_2016.shx

Google BigQuery Book.pdf

https://www.sqltranslate.app/

https://formula.dog/

https://sequal.dev/

SQL CHEAT SHEET.pdf

SQL in 14 Days.pdf

Company Database.db

album.db

test.db

world.db

Steel Data SQL Challenge.pdf

https://www.heidisql.com/

https://www.freesqldatabase.com/

https://www.prisma.io/dataguide

https://ladvien.com/business-intelligence-mysql/

https://medium.com/@i-sql-you-to-join-me

https://www.cloudways.com/en/pricing.php

https://www.dbta.com/Columns/SQL-Server-Drill-Down/

https://chrome.google.com/webstore/detail/sqlite-manager/njognipnngillknkhikjecpnbkefclfe

https://medium.com/geekculture/using-freesqldatabase-for-testing-mysql-cd15fed3a210

https://learn.microsoft.com/en-us/azure/azure-sql/database/free-offer?view=azuresql

https://mockaroo.com/

https://blog.devops.dev/sql-analysis-of-netflix-dataset-808e870e5bd6

HR Dashboard Data.xlsx

Call Center Dashboard Data.xlsx

Awesome Chocolates MAIN Sales Data.xlsx

Awesome Chocolates EXTRA DATA.xlsx

AdventureWorks.xlsx

AdventureWorks2012 (LARGE).xlsx

Pubs-Cardinality.xlsx

Population of Countries.xls

EmployeeSales.xlsx

For Power BI Charting.xlsx

Power BI Step by Step.pdf

Essential Chart Types by Data Ranch.pdf

Power BI Training Guide.pdf

SalesData_MultiTabs.xlsx

End to End Power BI.pdf

https://www.datawrapper.de/

https://www.revealbi.io/

https://superset.apache.org/

https://lightningchart.com/

https://www.visualcapitalist.com/

https://www.gapminder.org/tools/?from=world#$chart-type=bubbles&url=v1

https://handsondataviz.org/

https://workout-wednesday.com/power-bi-challenges/

https://curbal.com/

https://training.foresightbi.com.ng/courses/power-bi-developer-internship

Stats with Excel (Course Activity)

Course Activity for Stats with Excel.xls

Business Analytics by James Evans.pdf

Statistics Cheatsheet.pdf

Statistics Quick Reference Guide.pdf

https://stats.mom.gov.sg/SL/Pages/Labour-Force-Introduction.aspx

https://www.straitstimes.com/business/median-monthly-household-incomes-in-s-pore-above-10000-in-2023-for-second-consecutive-year

https://probability4datascience.com/index.html

Preliminaries

Split Text.xlsx

SORT

data-set.xlsx

custom-sort-order.xlsx

sort-by-color.xlsx

Filter

data-set.xlsx

number-text-filters.xlsx

date-filters.xlsx

advanced-filter.xlsx

data-form.xlsx

remove-duplicates.xlsx

outlining-data.xlsx

Conditional Formatting

conditional-formatting.xlsx

data bars.xlsx

color scales.xlsx

icon sets.xlsx

find duplicates.xlsx

shade-alternate-rows.xlsx

heat-map.xlsx

Hiding Rows and Columns

Hiding Rows and Columns.xlsx

Offset / Index

Offset.xlsx

VLookup / Xlookup

Lookup and References.xlsx

vlookup.xlsx

xlookup.xlsx

Data Validation

data-validation.xlsx

reject-invalid-dates.xlsx

budget-limit.xlsx

prevent-duplicate-entries.xlsx

product-codes.xlsx

dependent-drop-down-list.xlsx

Charts

charts.xlsx

bar-chart.xlsx

scatter-plot.xlsx

sparklines.xlsx

combination-chart.xlsx

thermometer-chart.xlsx

gantt-chart.xlsx

pareto-chart.xlsx

waterfall chart.xlsx

treemap.xlsx

histogram.xlsx

IF / AND / OR / Ifs / SUMIF /COUNTIF /AVGIF

IF.xlsx

IFS.xlsx

COUNTIF.xlsx

SUMIF.xlsx

AVGIF.xlsx

Pivot Table

manage.xlsx

ExternalData.xlsx

Red30 Tech Sales.xlsx

pivot table.xlsx

Filter.xlsx

CreatePivot.xlsx

Tables

tables.xlsx

Fuzzy Lookup

Fuzzy Lookup.csv

excel data analysis.pdf

10 Excel functions every Financial Analyst should know.pdf

https://imagetoexcel.com/

https://www.excel-bot.com/

https://formulabot.com/

https://aiexcelbot.com/

https://formula.dog/

Power Query

m01.xlsx

Bunch of Files

project - new.xlsx

project-alpha.xlsx

project-beta.xlsx

project-something.xlsx

project-something-else.xlsx

Students & Courses.xlsx

Scenario Manager, Data tables, Goal Seek & Forecast Sheet

What If.xlsx

Goal Seek.xlsx

Forecast Sheet.xls

Network Modeling

shortest-path-problem.xlsx

maximum-flow-problem.xlsx

Data Analytics with Excel Course Activities

Excel Activities.xlsx

Data Analytics with Excel Course

PP Q1.xls

PP Q2.xls

PP Q3.xls

Preparation.doc

Dashboarding

Dashboard Preview.GIF

Dashboard Dataset.xlsx

PP.xlsx

Animating Changes Over Time.xlsx

Olympic Medals.xlsx

Excel Dashboard Template

https://exceldashboardtemplate.com/

Excel Dashboard Template.xls

Sample_Card_Layout_For_Excel_Crew.xlsx

Foraging_Guide.xlsx

Futuristic_Dashboard.xlsx

Color_Guide.xlsx

Light_Blue_Theme_for_Newsletter.xlsx

sample_dash_filters_pc.xlsx

Newsletter_Sample_Template.xlsx

Geo Dash.xlsx

GeoVisual.xlsx

Ecommerce Dash.xlsx

Others

Geographical Heatmap of Singapore.xls

Sunburst Chart Showing Work Activities.xls

https://excelformulabot.com/

Intelligent Real-time Medicine Inventory Management Solution
​How might we develop an centralized inventory solution that provides real-time intelligence to optimize the demand and supply for medicinal drugs and reduce the wastage and cost inefficiencies for dispensaries?​
Award: SGD30,000

Understanding Customer Order Behaviour for More Efficient Supply Chain
How can we better understand our customers’ orders to fulfil their requests in a timely manner to
improve the customer experience, while ensuring efficiency in supply chain planning and inventory
management?​
​Award: SGD 25,000

Tracking Solution for Liquid-based Stock
​How can we help our customers track and manage their liquid-based stock on a real-time basis?
Award: SGD 10,000

Dynamic Digital Floor Plans, Time Schedules and Route Optimization for Exhibition Spaces
How might we better plan and execute the movement of exhibits into and out of diverse and dynamic event sites with greater efficiency?
Award: SGD 35,000

Data Analytics To Identify Opportunities For Developing Better Financial And Non-Financial Offerings
How might we better understand our customer’s needs, so we develop financial and nonfinancial offerings (e.g. products, insights, education materials, etc.) that better meets their current and emerging needs to better engage the investors in the customer buying journey?​
Award: SGD 50,000

Real-Time Data Visualization and Predictive Analytics
How might we create a platform, drawing on our database of real-time receipts data, to not only visualise shopper past behaviour but also to provide predictive shopper actionable insights that will enable brand owners to timely, effectively reach and engage targeted
shoppers?
Award: SGD 20,000

Elevated Customer Experience Through Integrated Insights From Digital Solutions
How can we elevate our customers’ digital experience in a seamless and personalised manner by providing valuable integrated insights across Carrier’s suite of digital solutions?
Award: SGD 25,000

Collaborative Platform For Mall Tenants To Provide Complementary Services That Delight Mall Goers
​How might we create a digital collaboration tool, powered by collective data insights, for shopping mall tenants to collaborate among themselves, so as to provide complementary products and services for the mall-goers?
Award: SGD 30,000

Predictive Recommendation Engine To Match Business Event Attendees With The Right People And The Right Content
​How might we create a predictive engine for more accurate match rate for professional event attendees to networks and content during and after the event?
Award: SGD 35,000

Visualization Tool that Provides Data Driven Insights For Better Event Evaluation
​How might we create a visualisation tool to process visitors and other related-event data so as to empower event organisers and owners to better evaluate event success and ROIs?​
Award: SGD 35,000

Smart Customer Relationship Management System
​How might we automate the ordering process to be more efficient and effective, and achieve a better customer experience?
Award: SGD 35,000

Understanding Customer Order Behaviour For Better Customer Experience
​How might we gain insights of the customer’s ordering behavior to facilitate an improved order management with better customer experience?
Award: SGD 25,000

A Data Analytic Collaborative Platform for Insurance Ecosystem Partners and Clients
​How might we create a shared data platform with our ecosystem of partners and clients that can support innovative health and life insurance services?
Award: SGD 20,000

Understanding Users' Behaviour Through Data Analytics And Transaction Tracking Methods Within Mobile App
​How might we provide an integrated mobile platform that can enable, track and manage communications and transactions between app users (home residents) and ResidentServices™ Providers (RSPs) and effectively connecting and engaging them, so that we can turn these data into valuable insights, predictions and decisions?
Award: SGD 20,000

Healthcare Oncology Patient Experience Portal
​​How might we create a digital platform to empower cancer patients and their families along their treatment and recovery journey with external parties and treatment information, so as to make better and sound decisions and stay connected with key communities?
Award: SGD 25,000

Analytics and Insights to Improve Efficiency of Internal Business & Operational Processes
How might we improve our internal processes to derive relevant insights, particularly through utilising our data, in order to operate more effectively and efficiently?​
Award: SGD 20,000

Enhance Maintainability of Pre-Fabrication Facility
​​How might we intelligently manage and perform preventive maintenance of equipment and machinery in our construction and pre-fabrication facility?
Award: SGD 30,000

Automation Of Data Extraction And Verification For Contact List Building
​How might we automate the collection and verification of potential customer contact lists, to increase accuracy and save time for higher value work?
Award: SGD 20,000

Asset Management & Investment Recommendation Solution for Portfolio Managers and Analysts
​How might we create solution that provides robust investment models, that takes into account the huge amounts of data that are available for analysis, in order to come up with well-timed actionable investment recommendations that results in market outperformance, after all possible slippage costs are considered?
Award: SGD 20,000

Intelligent Dynamic Scheduling & Placement System to Facilitate Grave Exhumation & Reinterment
​How might we create a dynamic yet able to meet time specific needs with automated exhumation scheduling and reinterment placement process of graves?
Award: SGD 35,000

Integrated Procurement Chain System for Optimisation of F&B Ecosystem
​​How might we provide an integrated procurement chain system that can connect F&B operators’ front-of-house to its suppliers’ warehousing and logistics needs seamlessly, to enable smarter purchasing decisions?
Award: SGD 25,000

1. https://www.openinnovation.sg

2. https://epic.ace.org.sg/

3. https://thebridge.ace.org.sg/#1

Cloud Computing Tutorial.pdf

API Notes.pdf

Google Cloud Cookbook.pdf

https://dataproducts.substack.com/p/data-is-not-a-microservice

https://www.montecarlodata.com/blog-who-is-responsible-for-data-quality/

1. Databricks 3 Critical Criteria for AI Success.pdf

2. Databricks State of Data Report.pdf

3. Capture AI Value With These 5 Benefit - Gartner.pdf

4. MIT CIO Generative AI Report.pdf

5. Access the 2023 State of AI Infrastructure Report

6. The DataOps Cookbook

7. slides from unicsoft

8. L-Energy Capital introduction

9. Singapore-Fintech-Report-2021-Alibaba-Cloud-Fintech-News-SG

10. Introduction to Groundup.AI

11. IMDA - ICT Navigation Tool 2020

13. Fengshui Prosper Guide 2021_E

14. ey-global-becoming-an-analytics-driven-organization

15. Domino_Data Science Innovators Playbook-compressed

16. asean-sme-transformation-study-2022

17. STRIPE - The_DNA_of_an_Adaptive_Enterprise

18. STRIPE - Stripe_2023_Insights_Report

19. tdwi-managing-big-data-106702

20. SIT-Industry-Partner-Research-Paper

21. SMU LARC Analytics Newsletter

22. MCKINSEY GLOBAL INSTITUTE— The Turning Point_ Reinvention And Opportunity In The Economy Of The Future__ 12 Highlights From The MGI 2021 Research (10Dec2021)

23. MCKINSEY Covid Report

24. 2022-AI-Index-Report_Master

25. IntroductionToBlockchainTechnology-by PAtrick Oh

26. LOUSY - EQUINIX architecting_the_digital_infrastructure_for_singapore

27. BI_Maturity_Framework_eBook_1.23V1

29. design thinking - the importance of the problem space

30. Hype Cycle for Artificial Intelligence, 2020, Published 27 July 2020_ Gartner Reprint

31. Gartner MAGIC QUADRANT 2022 FOR BI TOOLS

32. stock calculation

33. oracle netsuite - 7-steps-to-recession-proof-your-business

34. State of AI in Financial Services 2023

35. The economic potential of Generative AI by McKinsey

36. Into the AI Frontier by DBS CIOVP AI

37. What is a Docker?

38. Scalable Efficient Big Data Pipeline Architecture – Machine Learning for Developers

39. Top 5 fastest growing AI skills APAC for Pan-Asia - 2023

40. Top 6 Data Science and Analytics Trends 2023-Snowflake

41. EDB Singapore Tech Ecosystem 2023

42. EDB Guide to Hiring Your Dream Tech Team in Singapore 2023

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

44. tech-predictions-report-2024

45. NUS Chief Data Officer Brochure

SG AI Verify

• Invitation to Pilot the SG aiverify

• SGModelAIGovFramework2

• SGAIGovUseCases

• SGai-gov-use-cases-2

• SG ai-guide-to-jobredesign

• SG AI Guide to Job Redesign (short version)

• SG aiverify-framework primer

• SG national-ai-strategy

• NUHS Group CTO talks about AI strategy _ Frontier Enterprise

• Singapore's AI Application in the Public Sector.pdf

Scamming

• let act against scams SG

• Raju and the 40 Thieves

Jobs

• https://tripleten.com/

• IBF JOBS 2024

• WEF_Future_of_Jobs_2020

• Tools, Trends, What Pays for Data Professionals

• BGC Group - A Realistic Salary Guide For Smart Contract Workers 2020 (Full)

• Singapore Salary Guide 2024.pdf

• SSG Singapore Skills Framework Demand for 2021

• NTUC REPORT - Emerging Jobs & Skills Report (2021)

• NTUC Industry Insights Coding 2022

• generation singapore

• SSG-Sfw_dataset-2022-03-30.xls

• jobs of the future

• https://talentpavilion.sg/home

• Skills Map_AI Applied Researcher (GSC Top 5)

• Skills Map_AI ML Engineer (GSC Top 5)

• Skills Map_BI Director (GSC Top 5)

• Skills Map_BI Manager (GSC Top 5)

• Skills Map_CDO CDAIO (GSC Top 5)

• Skills Map_Data AI Scientist (GSC Top 5)

• Skills Map_Data Analyst Associate Data Engineer (GSC Top 5)

• Skills Map_Data Architect (GSC Top 5)

• Skills Map_Data Engineer (GSC Top 5)

• Skills Map_Head of Data Science AI (GSC Top 5)

• Skills Map_Senior AI ML Engineer(GSC Top 5)

• Skills Map_Senior Data Engineer (GSC Top 5)

• IBM SGUP Data Science Trainer Job Scope.pdf

• Chief AI Trainer Job Scope.pdf

Learning

• Whether you're prepping for interviews or just want to level up, these are perfect for you.
  
   1. 𝗔𝗣𝗜 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀: https://lnkd.in/e8eMet_k
   2. 𝗔𝗣𝗜 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝗱: https://lnkd.in/er9JiGxw
   3. 𝗔𝗣𝗜 𝗠𝗲𝘁𝗵𝗼𝗱𝘀: https://lnkd.in/ey9v7-hU
   4. 𝗔𝗣𝗜 𝗧𝗲𝗿𝗺𝗶𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: https://lnkd.in/eRsPMzpd
   5. 𝗔𝗣𝗜 𝗔𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗶𝗼𝗻: https://lnkd.in/eNPfpAdE
   6. 𝗔𝗣𝗜 𝗦𝘁𝗮𝘁𝘂𝘀 𝗖𝗼𝗱𝗲𝘀: https://lnkd.in/egXizUrS
   7. 𝗥𝗘𝗦𝗧 𝗔𝗣𝗜 𝘃𝘀 𝗚𝗿𝗮𝗽𝗵𝗤𝗟: https://lnkd.in/eZHREdgC
   8. 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: https://lnkd.in/eDASPP5m
   9. 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗗𝗲𝘁𝗮𝗶𝗹: https://lnkd.in/eZwFVrH7
  10. 𝗔𝗣𝗜 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: https://lnkd.in/emgmWJqH
  11. 𝗔𝗣𝗜 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻: https://lnkd.in/eM23ah2y
  12. 𝗔𝗣𝗜 𝗦𝗰𝗮𝗹𝗶𝗻𝗴: https://lnkd.in/e3mZSvmn
  13. 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗥𝗼𝗯𝘂𝘀𝘁 𝗔𝗣𝗜𝘀: https://lnkd.in/eBXzbFyg
  14. 𝗔𝗣𝗜𝘀 𝘄𝗶𝘁𝗵 𝗣𝗼𝘀𝘁𝗺𝗮𝗻: https://lnkd.in/ezue3d4B
  15. 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗔𝗣𝗜𝘀 𝘄𝗶𝘁𝗵 𝗣𝗼𝘀𝘁𝗺𝗮𝗻: https://lnkd.in/eCPnGTGi
  16. 𝗔𝗣𝗜 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: https://lnkd.in/e79ZYfPa
  17. 𝗔𝗣𝗜𝘀 𝗳𝗼𝗿 𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲: https://lnkd.in/e4WGDffA

EBooks

https://freecomputerbooks.com/

https://www.libgen.is/

https://pdfdrive.to/

https://www.pdfdrive.com/

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

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

Real Life Analysts / Scientists

• https://www.linkedin.com/in/mariel-chan-xiang-yun-678802190/

• https://www.linkedin.com/in/kohjiaxuan/

• https://www.linkedin.com/in/wilsonteows/

• https://www.linkedin.com/in/sean-lam-19a1833/

• https://www.linkedin.com/in/ivandecastro/

• https://www.linkedin.com/in/syoungk7/

• https://www.linkedin.com/in/dr-daniel-k-681785134/

• https://www.linkedin.com/in/mjyzc/

• https://www.linkedin.com/in/bharatnagaraju/

• https://www.shanelynn.ie/

• https://www.nicolelookfonganalyst.com/

• https://process-mining.tistory.com/

For LeWagon.ipynb

Others

1. https://playground.ai/

2. https://research.aimultiple.com/

3. Stats and R

4. Erik Marsja - Erik Marsja

5. https://www.dbta.com/

6. https://www.blackline.com/

7. https://copyleaks.com/

8. https://pivottable.js.org/

9. https://thenewstack.io/why-are-so-many-developers-hating-on-object-oriented-programming/

10. https://medium.com/machine-words/the-rise-and-fall-of-object-oriented-programming-d67078f970e2

11. https://h2oai.github.io/db-benchmark/

12. https://dataprep.ai/

13. https://github.com/ResidentMario/missingno

14. https://iianalytics.com/community/blog/data-mesh-the-balancing-act-of-centralization-and-decentralization

15. https://iianalytics.com/community/blog/the-age-of-agile-must-end

16. https://statguyuser.github.io/feature-engg-selection-for-explainable-models.github.io/

17. https://medium.com/mlearning-ai/this-study-shows-how-ai-can-change-your-job-f55d88256e1

18. https://medium.com/mlearning-ai

19. https://ryxcommar.com/2022/11/27/goodbye-data-science/

20. https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html

21. https://www.ml4devs.com/

22. https://tabula.technology/

23. https://beebom.com/how-draw-graphs-charts-diagrams-chatgpt/

24. https://unicsoft.com/blog/building-an-ai-proof-of-concept-benefits-and-steps/

25. https://github.com/bigscience-workshop/petals

26. https://www.disconnect.blog/

27. https://cloud.google.com/blog/products/gcp/5-google-cloud-product-cheat-sheets-2021

28. https://www.indsights.sg/

29. https://www.palantir.com/

30. https://www.codewars.com/

31. https://substack.com/

32. https://hackernoon.com/

33. https://machinehack.com/

34. https://artificialintelligencemadesimple.substack.com/

35. https://imperialharvest.com/

36. https://ai100.stanford.edu/

37. https://mjm.convertri.com/profitcode-regular-ds

38. https://fairyid.com/

39. https://www.datacenters.com/locations

40. https://www.datacentreworldasia.com/

41. https://oa.mg/journals/open-access-computer-science-journals

42. https://humanaigc.github.io/emote-portrait-alive/

43. https://sausheong.com/how-chatgpt-works-af2064fc1ec4

AI for MUSIC

1. https://boomy.com/

2. https://getaisinger.live/