Useful Resources

Part 1 | Part 2

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A two-part series video tutorial that covers implementing linear regression and machine learning in Python

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A 3hr tutorial on using OpenCV library in Python to customize your e-resume

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Covers the steps to download a CSV file from a URL using a GET request.

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Covers supported hash algorithms used in Python, as well as useful properties, constants, and functions.

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TODO

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Covers the basic steps of how to import data in Python in formats such as:

  • CSV
  • TXT
  • XLS/XLSX
  • sas7bdat (SAS)
  • Stata
  • Rdata (R)
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Covers why Python is so widely used in Data Science, as well as commonly used Python libraries used in Python in data science such as:

  • Numpy
  • Pandas
  • Matplotlib
  • Sklearn
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A video tutorial on using D3.js to create data-driven visualizations.

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Another tutorial on using D3.js libraries.

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An open source data visualization tool used to providing a missing link between spreadsheet applications and vector graphics editors.

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Another tutorial video on using D3.js libraries.

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This article introduces Apache Kafka and then illustrates how to use MongoDB as a source and a destination for streamed data.

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A open-source data repository for Stats Can which visitors can view and download data.

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A open-source data repository for Stats Can which visitors can view and download data pertaining to the Canadian 2016 census.

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A open-source data repository for Stats Can which visitors can view and download data pertaining to the Canadian 2016 census.

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A video from PyConSG 2016 about a woman who utilized Folium, Python, and open-source data to find the ideal home location in Singapore.

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A Python project where the developer covers the implementation of an interactive Covid-19 dashboard (made with d3.js) which covers the international spread of the virus.

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A website that displays interactive visualizations of data on Rt, testing rates, spread analysis, and risk levels of Covid-19 on an international scale.

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Covers the differences between qualitative and quantitative data, and covers the 7 most useful data analysis techniques, including:

  • Regression analysis
  • Monte Carlo simulation
  • Factor analysis
  • Cohort analysis
  • Cluster analysis
  • Time series analysis
  • Sentiment analysis
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An open source data-analysis tool

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An automated client marketing tool which sports features such as an interactive dashboard and report generation support.

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TODO

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A video tutorial on programming wth R language with an emphasis on statistical computing.

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An open source data visualization tool used to providing a missing link between spreadsheet applications and vector graphics editors.

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A powerpoint slide covering commonly used Statistical methods in data science