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#datascience

44 posts35 participants3 posts today
Istvan Hajnal<p>1/<br>An optimist and a pessimist walk into a bar... and get roped into a 3-question quiz by a statistician. Closest guesses to the truth win. </p><p><a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/mrx" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mrx</span></a> <a href="https://mastodon.social/tags/stein" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stein</span></a> <a href="https://mastodon.social/tags/shrinkage" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>shrinkage</span></a></p>
DSLC Videos<p>From the <span class="h-card" translate="no"><a href="https://fosstodon.org/@DSLC" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>DSLC</span></a></span> :rstats:​chives:</p><p>:rstats: Advanced R: Functions <a href="https://youtu.be/BPd6-G9e32I" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/BPd6-G9e32I</span><span class="invisible"></span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a></p><p>:rstats: The Effect: An Introduction to Research Design and Causality: Drawing Causal Diagrams <a href="https://youtu.be/J_M-bgBYJKA" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/J_M-bgBYJKA</span><span class="invisible"></span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://fosstodon.org/tags/causal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causal</span></a> <a href="https://fosstodon.org/tags/causality" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causality</span></a></p><p>:rstats: FPP: Time series features <a href="https://youtu.be/oo2eX7MPJLo" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/oo2eX7MPJLo</span><span class="invisible"></span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a></p><p>Visit <a href="https://dslc.video" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">dslc.video</span><span class="invisible"></span></a> for hours of new <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> videos every week!</p>
Sarah Lea<p>Why normalize databases?<br>Yesterday, my tutoring student asked me why databases need to be normalized at all. She said: “Wouldn’t it be easier to just have one big table with all the information?”</p><p>It’s a common first question when learning about relational databases.<br>At first, one big table (e.g. customer name, order date, product name, price) seems easiest.</p><p>I told her:<br>:blobcoffee: Because that quickly leads to data redundancy, anomalies, and integrity issues when inserting, updating, or deleting records.<br>:blobcoffee: Normalization means structuring data into separate, related tables, so that each fact is stored only once. This reduces redundancy &amp; preserves consistency.</p><p><a href="https://techhub.social/tags/databases" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>databases</span></a> <a href="https://techhub.social/tags/dataengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataengineering</span></a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://techhub.social/tags/datascientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascientist</span></a> <a href="https://techhub.social/tags/dataanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalysis</span></a> <a href="https://techhub.social/tags/dataanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalyst</span></a> <a href="https://techhub.social/tags/sql" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sql</span></a> <a href="https://techhub.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a></p>
Mickaël CANOUIL<p>🚀 New Quarto Modal Extension!</p><p>Create stunning Bootstrap modals in your HTML documents with just a few lines of Markdown!<br>The `quarto-modal` extension makes it dead simple to add interactive pop-ups to your content.</p><p><a href="https://fosstodon.org/tags/Quarto" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Quarto</span></a> <a href="https://fosstodon.org/tags/QuartoPub" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QuartoPub</span></a> <a href="https://fosstodon.org/tags/Modal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Modal</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/BootStrap" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BootStrap</span></a></p><p><a href="https://github.com/mcanouil/quarto-modal" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/mcanouil/quarto-mod</span><span class="invisible">al</span></a></p>
Python Job Support<p>COMMON MISTAKES you do while Learning DATA SCIENCE <a href="https://mastodon.social/tags/codingninjas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>codingninjas</span></a> <a href="https://mastodon.social/tags/coding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>coding</span></a>&nbsp;<a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a></p><p>Is learning data science getting harder for you? Then, while studying data science, you must be making some mistakes. Check out ... source</p><p><a href="https://quadexcel.com/wp/common-mistakes-you-do-while-learning-data-science-codingninjas-coding-datascience/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">quadexcel.com/wp/common-mistak</span><span class="invisible">es-you-do-while-learning-data-science-codingninjas-coding-datascience/</span></a></p>
Rami Krispin :unverified:<p>My weekly newsletter is out!</p><p>This week's agenda:<br>🛠️ The ibis project<br>📝 New learning resources <br>📚Book of the week - LLMOps by Abi Aryan</p><p>📌 Join 29k subscribers and subscribe for weekly updates.</p><p><a href="https://ramikrispin.substack.com/p/the-ibis-project-llmops-introduction" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ramikrispin.substack.com/p/the</span><span class="invisible">-ibis-project-llmops-introduction</span></a></p><p><a href="https://mstdn.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mstdn.social/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://mstdn.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://mstdn.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mstdn.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a></p>
Watson Tech World<p>I recently started a GitHub repository to include useful pandas Python code. I hope to post to it nearly every day for a month, and eventually use some of the code to even make an entire video or course on pandas.<br>Below is an example file I've make:<br><a href="https://github.com/sinocelt/useful-pandas-code/blob/main/dataframes-and-series-basics/dataframes-and-series-basics.ipynb" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/sinocelt/useful-pan</span><span class="invisible">das-code/blob/main/dataframes-and-series-basics/dataframes-and-series-basics.ipynb</span></a><br><a href="https://mastodon.social/tags/pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pandas</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/coding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>coding</span></a> <a href="https://mastodon.social/tags/Jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Jupyter</span></a> <a href="https://mastodon.social/tags/JupyterNotebook" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JupyterNotebook</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a></p>
Randy Au 🙃<p>OK, this is it, the LAST WEEKEND before the call for speakers for DataBS Conf closes on July 31st! Now's the time to get that data horror story, the quiet mishaps, the 'hey, one time we..." stories out and submitted!</p><p><a href="https://recsys.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://recsys.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://recsys.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a></p><p>bit.ly/dataBSconf-cfs</p>

LEADING/DATALIS Project Update: Future Directions in Professional Education and the Innovation Funnel Methodology shares outcomes of the #DATALIS program, part of the LEADING (LIS Education and Data Science Integrated Network Group) project. The initiative reimagined professional education pathways in #DataScience and #librarianship, and recently envisioned potential future pathways for professional education. 📹 youtu.be/073uPWrpPug

New server, new #introduction:

👋 Hi! I'm Eric! I'm a scientific programmer & educator who writes mostly :rstats: code. I currently work part time at #UniversityOfArizona where I help researchers by making R packages, #Shiny apps, automated data workflows, and training them on #ReproducibleResearch practices. I also mentor data scientists for @Posit Academy. I am #OpenToWork as a contractor if any of those skills sound useful to you.

My background is in plant chemical ecology and population ecology and for my PhD I studied #tea and did field work in China. I love tea (although I've been drinking coffee more and more lately) and practice #GongFuCha when I can. I love #foraging and tasting new things.

I currently live in #Tucson but the #BayArea will always be my home.

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