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Catherine Lundoff<p>Speaking of getting <a href="https://wandering.shop/tags/Fedihired" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Fedihired</span></a>, I’m still looking! For IT purposes, I’ve worked as a <a href="https://wandering.shop/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalyst</span></a>, data analyst and qa. I’ve been a team lead, done lots of presentations and reporting, requirements gathering, trainings, documentation, etc. I’m quite familiar with the various versions of SQL, have worked with JIRA, SAS, Tableau, etc. and am currently working on a data analytics certification. Only looking at <a href="https://wandering.shop/tags/remote" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>remote</span></a> positions due to personal issues.</p>
Statistics Globe<p>Comparing groups is often one of the main goals in data visualizations. The ggplot2 package in R, along with its powerful extensions, makes it easy to create visualizations that highlight differences, trends, and relationships between groups.</p><p>Click this link for detailed information: <a href="https://statisticsglobe.com/online-course-data-visualization-ggplot2-r" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/online-cou</span><span class="invisible">rse-data-visualization-ggplot2-r</span></a></p><p><a href="https://mastodon.social/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalyst</span></a> <a href="https://mastodon.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datavisualization</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/package" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>package</span></a> <a href="https://mastodon.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a></p>
Leanpub<p>New 📚 Release! Day by day as an IT BA: A Business Analyst Journey for Everyone by Mikhail Bakhrakh <a href="https://mastodon.social/tags/books" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>books</span></a> <a href="https://mastodon.social/tags/ebooks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ebooks</span></a> <a href="https://mastodon.social/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalyst</span></a> <a href="https://mastodon.social/tags/career" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>career</span></a> <a href="https://mastodon.social/tags/management" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>management</span></a></p><p>Find it on Leanpub!</p><p>Link: <a href="https://leanpub.com/babook1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com/babook1</span><span class="invisible"></span></a></p>
Statistics Globe<p>When performing multiple imputation of missing data, it is essential to evaluate how the imputed values compare to the observed data.</p><p>The attached image, created with the bwplot() function, showcases how the distributions of observed and imputed values vary across different imputations for multiple variables.</p><p>Detailed information: <a href="http://eepurl.com/gH6myT" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="">eepurl.com/gH6myT</span><span class="invisible"></span></a></p><p><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/bigdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bigdata</span></a> <a href="https://mastodon.social/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalyst</span></a> <a href="https://mastodon.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datavisualization</span></a></p>
Statistics Globe<p>Listwise deletion, also known as complete case analysis, is one of the simplest methods for handling missing data.</p><p>The attached image illustrates the challenges of listwise deletion when the missing data is not random.</p><p>Tutorial: <a href="https://statisticsglobe.com/listwise-deletion-missing-data/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/listwise-d</span><span class="invisible">eletion-missing-data/</span></a></p><p>More: <a href="http://eepurl.com/gH6myT" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="">eepurl.com/gH6myT</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalyst</span></a> <a href="https://mastodon.social/tags/database" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>database</span></a> <a href="https://mastodon.social/tags/rprogramminglanguage" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rprogramminglanguage</span></a> <a href="https://mastodon.social/tags/dataanalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalytics</span></a></p>
Statistics Globe<p>Mean imputation is a straightforward method for handling missing values in numerical data, but it can significantly distort the relationships between variables.</p><p>For a detailed explanation of mean imputation, its drawbacks, and better alternatives, check out my full tutorial here: <a href="https://statisticsglobe.com/mean-imputation-for-missing-data/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/mean-imput</span><span class="invisible">ation-for-missing-data/</span></a></p><p>More details are available at this link: <a href="http://eepurl.com/gH6myT" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="">eepurl.com/gH6myT</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://mastodon.social/tags/datastructure" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datastructure</span></a> <a href="https://mastodon.social/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalyst</span></a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a></p>
Statistics Globe<p>Statistical inference is a powerful tool in data analysis that helps us make conclusions about a population based on a sample.</p><p>The visualization of this post shows the distribution of sample data, highlighting the sample mean with a red dashed line and illustrating the 95% confidence interval with a blue error bar. </p><p>Click this link for detailed information: <a href="https://statisticsglobe.com/online-course-statistical-methods-r" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/online-cou</span><span class="invisible">rse-statistical-methods-r</span></a></p><p><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/database" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>database</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/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://mastodon.social/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalyst</span></a></p>
Statistics Globe<p>Local regression is a non-parametric method for fitting smooth curves to data by applying multiple localized regressions. It is useful for uncovering non-linear relationships when the data’s exact form is unknown. Proper use of local regression can reveal trends in noisy data, but poor implementation might lead to misleading results.</p><p>Image: <a href="https://en.wikipedia.org/wiki/Local_regression#/media/File:Loess_curve.svg" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Local_re</span><span class="invisible">gression#/media/File:Loess_curve.svg</span></a></p><p>More details: <a href="http://eepurl.com/gH6myT" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="">eepurl.com/gH6myT</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/database" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>database</span></a> <a href="https://mastodon.social/tags/package" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>package</span></a> <a href="https://mastodon.social/tags/bigdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bigdata</span></a> <a href="https://mastodon.social/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalyst</span></a> <a href="https://mastodon.social/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a> <a href="https://mastodon.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datavisualization</span></a> <a href="https://mastodon.social/tags/rprogramming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rprogramming</span></a></p>
Matasoft<p>📱 Marketing teams: Analyze social media sentiment, categorize leads, and optimize campaigns with AI formulas that understand context and nuance. Data-driven decisions made simple! 📊 <a href="https://mastodon.world/tags/MarketingAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MarketingAnalytics</span></a> <a href="https://mastodon.world/tags/SocialMediaInsights" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SocialMediaInsights</span></a> <a href="https://mastodon.world/tags/DigitalMarketing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalMarketing</span></a> <a href="https://mastodon.world/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.world/tags/AITools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AITools</span></a> <a href="https://mastodon.world/tags/DataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalytics</span></a> <a href="https://mastodon.world/tags/BI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BI</span></a> <a href="https://mastodon.world/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.world/tags/spreadsheets" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spreadsheets</span></a> <a href="https://mastodon.world/tags/spreadsheetformula" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spreadsheetformula</span></a> <a href="https://mastodon.world/tags/AISpreadsheetFormula" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AISpreadsheetFormula</span></a> <a href="https://mastodon.world/tags/SpreadsheetAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpreadsheetAI</span></a> <a href="https://mastodon.world/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a>-driven <a href="https://mastodon.world/tags/BusinessIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BusinessIntelligence</span></a> <a href="https://mastodon.world/tags/BusinessAnalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BusinessAnalyst</span></a> <a href="https://mastodon.world/tags/spreadsheets" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spreadsheets</span></a> <a href="https://mastodon.world/tags/AIinBusiness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIinBusiness</span></a> <a href="https://mastodon.world/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a><br><a href="https://matasoft.hr/qtrendcontrol/index.php/un-perplexed-spready/un-perplexed-spready-various-articles/135-un-perplexed-spready-when-spreadsheets-finally-learn-to-think" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">matasoft.hr/qtrendcontrol/inde</span><span class="invisible">x.php/un-perplexed-spready/un-perplexed-spready-various-articles/135-un-perplexed-spready-when-spreadsheets-finally-learn-to-think</span></a></p>
Arcadiagt5<p><span class="h-card" translate="no"><a href="https://hachyderm.io/@evacide" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>evacide</span></a></span> <span class="h-card" translate="no"><a href="https://dice.camp/@artemis" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>artemis</span></a></span> Even WITH good test teams, like the ones I’m usually privileged to work with as a <a href="https://mstdn.social/tags/BusinessAnalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BusinessAnalyst</span></a>, it’s still possible to have days in IT where everything not broken is on fire. </p><p>WITHOUT testing, that moves from “possible” to <a href="https://mstdn.social/tags/AsInevitableAsRadioactiveDecay" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AsInevitableAsRadioactiveDecay</span></a></p><p>From the (relatively) safe distance of <a href="https://mstdn.social/tags/Canberra" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Canberra</span></a>… 🍿 seems appropriate when it happens…</p>
Arcadiagt5<p><span class="h-card" translate="no"><a href="https://tech.lgbt/@nina_kali_nina" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>nina_kali_nina</span></a></span> This is why I’m a <a href="https://mstdn.social/tags/BusinessAnalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BusinessAnalyst</span></a> and occasional <a href="https://mstdn.social/tags/Tester" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tester</span></a>, not a coder. 😂🤣😂🤣</p>
Gottfried Szing<p>I love <a href="https://hachyderm.io/tags/physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>physics</span></a>, I love <a href="https://hachyderm.io/tags/businessanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalysis</span></a> - two on the surface completely different disciplines, but in the heart they are very similar. </p><p>Physics is a science which is "...s a systematic discipline that builds and organises knowledge in the form of testable hypotheses and predictions about the universe" (Wikipedia). </p><p>And what is so different to business analysis (maybe execept the part about the universe)?</p><p> <a href="https://hachyderm.io/tags/iiba" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>iiba</span></a> <a href="https://hachyderm.io/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalyst</span></a> <a href="https://hachyderm.io/tags/requirements" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>requirements</span></a></p>
Gottfried Szing<p>How could it look like when a <a href="https://hachyderm.io/tags/BusinessAnalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BusinessAnalyst</span></a> 🧑‍💻 meets <a href="https://hachyderm.io/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> 🤖? Definitely not like this. 😆 But you can find out at our next event in January 👉 <a href="https://www.linkedin.com/events/7264524020941746177/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/events/7264524020</span><span class="invisible">941746177/</span></a>.</p><p>"AI for Better Requirements - A New Era for Business Analysts" - Three different short presentations on how <a href="https://hachyderm.io/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> has shaped their way of work in a fantastic location and wrapped up with discussions &amp; networking afterwards. </p><p>IIBA IREB <a href="https://hachyderm.io/tags/iiba" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>iiba</span></a> <a href="https://hachyderm.io/tags/requirementsengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>requirementsengineering</span></a> <a href="https://hachyderm.io/tags/software" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>software</span></a></p>
Gottfried Szing<p>Because it is <a href="https://hachyderm.io/tags/Friday13th" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Friday13th</span></a> I will use my black rubber duck for <a href="https://hachyderm.io/tags/rubberducking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rubberducking</span></a> 🦆</p><p>Even as a <a href="https://hachyderm.io/tags/BusinessAnalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BusinessAnalyst</span></a> it is a good approach to get out of the rabbit hole and think in different perspectives. Rubber ducking is such a valuable technique for business analysts, developers, and problem-solvers alike.</p>
DigitalCube Group<p>🌟 Hiring Alert 🌟</p><p>We're looking for a Business Analyst with 3+ years of IT solutions experience, preferably handling US/European clients.</p><p>📍 Mumbai (Santacruz East)</p><p>Write to hr@digitalcube-cs.com or apply via <a href="https://buff.ly/3ZGjaQH" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">buff.ly/3ZGjaQH</span><span class="invisible"></span></a></p><p><a href="https://mstdn.business/tags/BusinessAnalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BusinessAnalyst</span></a> <a href="https://mstdn.business/tags/Hiring" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Hiring</span></a></p>
Statistics Globe<p>When building regression models, watch out for significant predictors! 🚨 Sometimes, variables that seem important might lose their significance when the model gets better.</p><p>See this link for additional information: <a href="https://statisticsglobe.com/webinar-data-analysis-visualization-r" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/webinar-da</span><span class="invisible">ta-analysis-visualization-r</span></a></p><p><a href="https://mastodon.social/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalyst</span></a> <a href="https://mastodon.social/tags/dataanalytic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalytic</span></a> <a href="https://mastodon.social/tags/visualanalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>visualanalytics</span></a> <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://mastodon.social/tags/bigdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bigdata</span></a></p>
Arcadiagt5<p><span class="h-card" translate="no"><a href="https://wandering.shop/@cstross" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>cstross</span></a></span> As a <a href="https://mstdn.social/tags/BusinessAnalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BusinessAnalyst</span></a> I technically write SF. After all, requirements describe a system that hasn’t been built yet…</p>
Gottfried Szing<p>Another day as <a href="https://hachyderm.io/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>businessanalyst</span></a> 😅</p>
Gottfried Szing<p>I am proud to be one of the authors of the current BA Digest.</p><p>In my article I try to explain what <a href="https://hachyderm.io/tags/quantumcomputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>quantumcomputing</span></a> is and what the impact for the work of a <br><a href="https://hachyderm.io/tags/BusinessAnalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BusinessAnalyst</span></a> could be. </p><p><a href="https://www.blackmetric.com/ba-digest-q3-2024/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">blackmetric.com/ba-digest-q3-2</span><span class="invisible">024/</span></a></p><p><a href="https://hachyderm.io/tags/BusinessAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BusinessAnalysis</span></a></p>
Gottfried Szing<p><a href="https://hachyderm.io/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> makes <a href="https://hachyderm.io/tags/BusinessAnalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BusinessAnalyst</span></a> a part of history. </p><p>Or is AI making us BAs better? </p><p>I don't know, but for sure a topic that could be discussed at our meetup in Vienna. 🎡</p><p><a href="https://www.meetup.com/business-analysten-wien/events/301079691/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">meetup.com/business-analysten-</span><span class="invisible">wien/events/301079691/</span></a></p>