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    <title>topic Learning Series | Build Three Portfolio-Ready Analytics Projects with Databricks Free Edition in Announcements</title>
    <link>https://community.databricks.com/t5/announcements/learning-series-build-three-portfolio-ready-analytics-projects/m-p/148806#M612</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Looking for real analytics projects that you can share publicly, talk about in interviews, or add to your resume or portfolio, all &lt;/SPAN&gt;&lt;STRONG&gt;completely free&lt;/STRONG&gt;&lt;SPAN&gt;, with no credit card required?&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;If you’ve been meaning to “actually build something” with Databricks, this tutorial gives you three concrete projects you can finish in a single afternoon using Databricks Free Edition. You’ll work with real datasets, AI/BI dashboards, SQL, Python, and AI functions to create artifacts you can screenshot, share, and confidently walk through in an interview or performance review.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;What you’ll do&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Turn a simulated cookie bakery into a full analytics story:&lt;/STRONG&gt;&lt;SPAN&gt; Explore the built-in Bakehouse sample data, build an AI/BI dashboard, and use AI_Query() to classify customer reviews and even generate auto-replies.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Forecast rent using public housing data:&lt;/STRONG&gt;&lt;SPAN&gt; Import open government rental datasets, visualize trends over time, and apply AI_Forecast() to generate time-series predictions directly from your dashboard.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Hunt for movie shoots with NYC film permits:&lt;/STRONG&gt;&lt;SPAN&gt; Ingest an open CSV (or pull it programmatically via a notebook), model the data, and build maps and trends to find filming hotspots across New York City.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;SPAN&gt;Along the way, Databricks Assistant is there to help debug code, write SQL, and explain concepts so you can keep moving even if you’re new to the platform.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Why this is perfect for learners&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;100% free:&lt;/STRONG&gt;&lt;SPAN&gt; Databricks Free Edition requires no credit card or phone number and is purpose-built for personal learning and experimentation (not production).&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Concrete outputs:&lt;/STRONG&gt;&lt;SPAN&gt; Each project ends with a real dashboard and queries you can reuse, iterate on, or adapt to your own datasets.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Next steps included:&lt;/STRONG&gt;&lt;SPAN&gt; The blog links to free self-paced AI/BI training, deeper author courses, and additional demos if you want to continue building.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;Ready to start?&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Sign up your &lt;/SPAN&gt;&lt;A href="https://www.databricks.com/learn/free-edition" target="_blank"&gt;&lt;SPAN&gt;Databricks Free Edition&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt; or open the “&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/blog/tutorial-3-free-databricks-analytics-projects-you-can-do-afternoon?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank"&gt;&lt;SPAN&gt;3 Free Databricks Analytics Projects You Can Do In An Afternoon&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;”, and start turning sample data into dashboards and insights you can proudly add to your portfolio.&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 19 Feb 2026 13:42:22 GMT</pubDate>
    <dc:creator>Om_Jha</dc:creator>
    <dc:date>2026-02-19T13:42:22Z</dc:date>
    <item>
      <title>Learning Series | Build Three Portfolio-Ready Analytics Projects with Databricks Free Edition</title>
      <link>https://community.databricks.com/t5/announcements/learning-series-build-three-portfolio-ready-analytics-projects/m-p/148806#M612</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Looking for real analytics projects that you can share publicly, talk about in interviews, or add to your resume or portfolio, all &lt;/SPAN&gt;&lt;STRONG&gt;completely free&lt;/STRONG&gt;&lt;SPAN&gt;, with no credit card required?&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;If you’ve been meaning to “actually build something” with Databricks, this tutorial gives you three concrete projects you can finish in a single afternoon using Databricks Free Edition. You’ll work with real datasets, AI/BI dashboards, SQL, Python, and AI functions to create artifacts you can screenshot, share, and confidently walk through in an interview or performance review.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;What you’ll do&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Turn a simulated cookie bakery into a full analytics story:&lt;/STRONG&gt;&lt;SPAN&gt; Explore the built-in Bakehouse sample data, build an AI/BI dashboard, and use AI_Query() to classify customer reviews and even generate auto-replies.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Forecast rent using public housing data:&lt;/STRONG&gt;&lt;SPAN&gt; Import open government rental datasets, visualize trends over time, and apply AI_Forecast() to generate time-series predictions directly from your dashboard.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Hunt for movie shoots with NYC film permits:&lt;/STRONG&gt;&lt;SPAN&gt; Ingest an open CSV (or pull it programmatically via a notebook), model the data, and build maps and trends to find filming hotspots across New York City.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;SPAN&gt;Along the way, Databricks Assistant is there to help debug code, write SQL, and explain concepts so you can keep moving even if you’re new to the platform.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Why this is perfect for learners&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;100% free:&lt;/STRONG&gt;&lt;SPAN&gt; Databricks Free Edition requires no credit card or phone number and is purpose-built for personal learning and experimentation (not production).&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Concrete outputs:&lt;/STRONG&gt;&lt;SPAN&gt; Each project ends with a real dashboard and queries you can reuse, iterate on, or adapt to your own datasets.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Next steps included:&lt;/STRONG&gt;&lt;SPAN&gt; The blog links to free self-paced AI/BI training, deeper author courses, and additional demos if you want to continue building.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;Ready to start?&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Sign up your &lt;/SPAN&gt;&lt;A href="https://www.databricks.com/learn/free-edition" target="_blank"&gt;&lt;SPAN&gt;Databricks Free Edition&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt; or open the “&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/blog/tutorial-3-free-databricks-analytics-projects-you-can-do-afternoon?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank"&gt;&lt;SPAN&gt;3 Free Databricks Analytics Projects You Can Do In An Afternoon&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;”, and start turning sample data into dashboards and insights you can proudly add to your portfolio.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 19 Feb 2026 13:42:22 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/learning-series-build-three-portfolio-ready-analytics-projects/m-p/148806#M612</guid>
      <dc:creator>Om_Jha</dc:creator>
      <dc:date>2026-02-19T13:42:22Z</dc:date>
    </item>
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