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    <title>DEV Community: Preetham Guntupalli</title>
    <description>The latest articles on DEV Community by Preetham Guntupalli (@preetham_guntupalli_a320f).</description>
    <link>https://dev.to/preetham_guntupalli_a320f</link>
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      <title>DEV Community: Preetham Guntupalli</title>
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      <title>From Complete Beginner to Data Scientist</title>
      <dc:creator>Preetham Guntupalli</dc:creator>
      <pubDate>Sat, 24 Oct 2026 15:10:36 +0000</pubDate>
      <link>https://dev.to/preetham_guntupalli_a320f/from-complete-beginner-to-data-scientist-195c</link>
      <guid>https://dev.to/preetham_guntupalli_a320f/from-complete-beginner-to-data-scientist-195c</guid>
      <description>&lt;p&gt;From Complete Beginner to Data Scientist:&lt;br&gt;
My Roadmap, Struggles, and Where I Need Your Help!&lt;/p&gt;

&lt;p&gt;Hello DEV Community! 👋&lt;/p&gt;

&lt;p&gt;I am officially embarking on the journey from a complete beginner in Data Analysis to an advanced Data Scientist. Like many starting out, I am staring down a massive mountain of tools, languages, frameworks, and theories—and honestly, it's a bit overwhelming.&lt;/p&gt;

&lt;p&gt;I wanted to share my current plan, outline where I'm stumbling, and ask those of you already in the trenches for your advice and guidance.&lt;/p&gt;

&lt;p&gt;My Current Learning Roadmap&lt;br&gt;
Right now, I am focusing on building a solid foundation before diving into machine learning and advanced modeling. Here is what my current learning stack looks like:&lt;/p&gt;

&lt;p&gt;Foundations: Python, SQL, and Excel for data wrangling.&lt;br&gt;
Analysis &amp;amp; Visualization: Pandas, NumPy, Matplotlib, and Seaborn (along with learning Tableau/PowerBI).&lt;br&gt;
The Next Frontier (Where I need advice): Statistics, Machine Learning algorithms, and MLOps.&lt;br&gt;
Where I'm Stumbling (And Need Your Help)&lt;br&gt;
The hardest part so far isn't learning the syntax of Python or writing a complex SQL JOIN—it's knowing what matters.&lt;/p&gt;

&lt;p&gt;Tutorial Purgatory: I find myself completing tutorials easily, but when I open a blank Jupyter notebook with a raw dataset, I freeze. How did you break the habit of relying on step-by-step tutorials?&lt;br&gt;
Math Anxiety: How deep do I really need to go into linear algebra and calculus before building machine learning models?&lt;br&gt;
Portfolio Projects: Everyone says "build a portfolio," but what separates a generic "Titanic dataset" portfolio project from one that actually catches an employer's eye?&lt;br&gt;
Let's Connect and Learn Together&lt;br&gt;
If you are a seasoned Data Scientist or Data Analyst, or if you've recently made this exact transition, I would love to pick your brain.&lt;/p&gt;

&lt;p&gt;What resource or concept was the "lightbulb moment" that made everything click for you?&lt;br&gt;
If you could restart your data journey today, what would you skip, and what would you focus on harder?&lt;br&gt;
Let me know in the comments below! 👇&lt;/p&gt;

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      <category>ai</category>
      <category>programming</category>
      <category>datascience</category>
      <category>mysql</category>
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