105 Photos and videos
30 Oct 2025
Many #datascience techniques depend on the assumption that #data are normally distributed. How can you tell whether that's the case, and what do you do if it isn't? This tutorial explains. #statistics geeksforgeeks.org/normal-vs-…
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2 Oct 2025
Here's a cool tutorial on how to use @clcoding to map @PowerBI measure dependencies! youtu.be/Ap_nPFBCknE?si=SfRN…
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29 Sep 2025
This study concludes that while 97.2% of companies invest in big data solutions, most of these companies only use 37%-40% of their #data in their #analytics. edgedelta.com/company/blog/w…
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26 Sep 2025
What do you do when LLMs get too large to run on available hardware? One option is to use quantization. This blog post introduces the concept of quantization and how to employ it. #AI #MachineLearning #DataScience newsletter.maartengrootendor…
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2 Sep 2025
A new era of business intelligence is here! As companies race to implement #AI, @tableau is introducing Tableau Next - an AI-powered platform within @salesforce. At its core is Agentforce, Salesforce’s AI layer, bringing agentic AI directly into #analytics tableau.com/blog/agentic-ana…
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29 Aug 2025
Bayesian Structural Time Series (BSTS) is a great way to build a probabilistic component into your time series forecasting models. Here's a guide to BSTS with sample code in R. #statistics #DataScience #data rstudio-pubs-static.s3.amazo…
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27 Aug 2025
The tips shared in this article can help you avoid "death by ROI" in your organization's data-oriented processes. #data #analytics ciodive.com/news/gartner-dat…
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14 Aug 2025
When training an LLM, the transparency of the dataset it's built on is paramount. This article explains a tool that researchers have created to ensure the transparency of a training set. @MIT #AI #DataScience #MachineLearning news.mit.edu/2024/study-larg…
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8 Aug 2025
Streamgraphs are a type of stacked area chart that shows components of a total, typically over time. This article introduces streamgraphs and also provides graph galleries in #R, #Python, #React, and D3. ##data #analytics #DataViz data-to-viz.com/graph/stream…
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6 Aug 2025
This video covers 10 different pitfalls to avoid when coding in @MySQL. #data #analytics #dbms #SQL youtube.com/watch?v=cfEhtYEH…
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4 Aug 2025
Just how fast can you possibly get #Python to process CSV #data? This blog post explains with a few examples. #analytics datapythonista.me/blog/how-f…
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1 Aug 2025
This article explains the purposes and usages of the Walrus operator within #Python, one of the most underutilized of all Python's capabilities. #data #analytics geeksforgeeks.org/walrus-ope…
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22 Jul 2025
Are you familiar with waffle charts? An interesting alternative to pie charts and segmented bar charts, waffle charts show proportional #data or percentage completion towards a goal. #analytics #DataViz quanthub.com/what-is-a-waffl…
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15 Jul 2025
If you're using @Snowflake and you want to perform a "fuzzy match" on records that don't exactly match, you should check out the JAROWINKLER_SIMILARITY function. #SQL #dbms #data #Snowflake docs.snowflake.com/en/sql-re…
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10 Jul 2025
Spreadsheets that have been formatted to look visually appealing to humans can present challenges when you have to use the #data programmatically. This blog post shares some ideas on how to best accommodate formatted datasets in #R. #analytics luisdva.github.io/rstats/pro…
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7 Jul 2025
This article explains how one leader in the healthcare space is optimizing #data literacy within their teams. #analytics cio.com/article/2100446/how-…
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27 Jun 2025
Missing data is a problem that every data scientist and data analyst has to deal with at some point. This video explains some of the things to avoid when dealing with missing #data. #analytics youtube.com/watch?v=on2df1uM…
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24 Jun 2025
This article explores the meteoric rise of the market for #data and #analytics tools over the past several years. #DataScience @VentureBeat venturebeat.com/enterprise-a…
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18 Jun 2025
Survey #data can be immensely valuable to organizations that collect it, but its usage also has some risks. This article presents some of the pros and cons of survey data. @Genroe #analytics genroe.com/blog/pros-and-con…
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16 Jun 2025
If you're learning or upskilling in #R, the dplyr package is one of the most important topics to cover. This blog post shows visually how some of the key methods within dplyr work. #data #analytics andrewheiss.com/blog/2024/04…
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