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    <title>Forem: Mohd Yusuf</title>
    <description>The latest articles on Forem by Mohd Yusuf (@mohd03yusuf).</description>
    <link>https://forem.com/mohd03yusuf</link>
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      <title>Forem: Mohd Yusuf</title>
      <link>https://forem.com/mohd03yusuf</link>
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      <title>🚀 Starting My Data Analyst Learning in Public Journey . 12-Week Data Analyst + BI Learning Roadmap</title>
      <dc:creator>Mohd Yusuf</dc:creator>
      <pubDate>Tue, 10 Feb 2026 15:05:34 +0000</pubDate>
      <link>https://forem.com/mohd03yusuf/starting-my-data-analyst-learning-in-public-journey-3je1</link>
      <guid>https://forem.com/mohd03yusuf/starting-my-data-analyst-learning-in-public-journey-3je1</guid>
      <description>&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Foi0s7s4x8m4wek17u9h2.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Foi0s7s4x8m4wek17u9h2.png" alt=" " width="800" height="1200"&gt;&lt;/a&gt;&lt;br&gt;
&lt;a href="https://iyusuf.hashnode.dev/12-week-data-analyst-bi-learning-roadmap" rel="noopener noreferrer"&gt;&lt;/a&gt;&lt;br&gt;
Today, I’m officially starting my #LearningInPublic journey as a Data Analyst 📊&lt;/p&gt;

&lt;p&gt;I’ve decided to document everything I learn —&lt;br&gt;
from Python and SQL to Power BI, statistics, and real-world projects.&lt;/p&gt;

&lt;p&gt;Why learning in public?&lt;/p&gt;

&lt;p&gt;Because:&lt;br&gt;
✅ It keeps me consistent&lt;br&gt;
✅ It helps me understand better&lt;br&gt;
✅ It builds my confidence&lt;br&gt;
✅ It connects me with the data community&lt;/p&gt;

&lt;p&gt;I’ll be sharing:&lt;br&gt;
📌 weekly learnings&lt;br&gt;
📌 Practice projects&lt;br&gt;
📌 Dashboards &amp;amp; case studies&lt;br&gt;
📌 Mistakes and lessons&lt;/p&gt;

&lt;p&gt;No shortcuts. No fake expertise.&lt;br&gt;
Just honest learning, step by step.&lt;/p&gt;

&lt;p&gt;If you’re on a similar path or already in this field, I’d love to connect and learn from you 🤝&lt;/p&gt;

&lt;p&gt;Let the journey begin 🚀📈&lt;/p&gt;

&lt;h1&gt;
  
  
  LearningInPublic #DataAnalytics #DataAnalyst #Python #SQL #PowerBI #CareerGrowth #Freshers #TechJourney
&lt;/h1&gt;

&lt;p&gt;(2–3 hrs/day | Working Professional/Fresher Friendly)&lt;/p&gt;

&lt;p&gt;✅ Week 1: Python Foundations&lt;br&gt;
📘 Sections: 1–3&lt;/p&gt;

&lt;p&gt;Python basics&lt;/p&gt;

&lt;p&gt;Variables, loops, functions&lt;/p&gt;

&lt;p&gt;Important libraries (NumPy, Pandas basics)&lt;/p&gt;

&lt;p&gt;🎯 Goal: Be comfortable writing simple Python scripts&lt;/p&gt;

&lt;p&gt;✅ Week 2: Data Analysis with Python&lt;br&gt;
📘 Sections: 4–6&lt;/p&gt;

&lt;p&gt;Pandas for data analysis&lt;/p&gt;

&lt;p&gt;Descriptive statistics&lt;/p&gt;

&lt;p&gt;Data cleaning&lt;/p&gt;

&lt;p&gt;🎯 Goal: Analyze small datasets in Python&lt;/p&gt;

&lt;p&gt;✅ Week 3: Statistics &amp;amp; Probability&lt;br&gt;
📘 Sections: 7–8&lt;/p&gt;

&lt;p&gt;Probability&lt;/p&gt;

&lt;p&gt;Distributions&lt;/p&gt;

&lt;p&gt;Hypothesis testing&lt;/p&gt;

&lt;p&gt;🎯 Goal: Understand data behavior &amp;amp; trends&lt;/p&gt;

&lt;p&gt;✅ Week 4: Feature Engineering &amp;amp; EDA&lt;br&gt;
📘 Sections: 9–10&lt;/p&gt;

&lt;p&gt;Feature creation&lt;/p&gt;

&lt;p&gt;Exploratory Data Analysis&lt;/p&gt;

&lt;p&gt;🎯 Goal: Prepare datasets for analysis&lt;/p&gt;

&lt;p&gt;✅ Week 5: SQL Basics&lt;br&gt;
📘 Sections: 11–13&lt;/p&gt;

&lt;p&gt;SQL intro&lt;/p&gt;

&lt;p&gt;Queries&lt;/p&gt;

&lt;p&gt;Filtering, joins&lt;/p&gt;

&lt;p&gt;Practice questions&lt;/p&gt;

&lt;p&gt;🎯 Goal: Write basic SQL queries confidently&lt;/p&gt;

&lt;p&gt;✅ Week 6: Advanced SQL&lt;br&gt;
📘 Sections: 14–17&lt;/p&gt;

&lt;p&gt;Functions&lt;/p&gt;

&lt;p&gt;Subqueries&lt;/p&gt;

&lt;p&gt;Interview questions&lt;/p&gt;

&lt;p&gt;🎯 Goal: Handle real business queries&lt;/p&gt;

&lt;p&gt;✅ Week 7: Power BI Fundamentals&lt;br&gt;
📘 Sections: 18–21&lt;/p&gt;

&lt;p&gt;Power BI interface&lt;/p&gt;

&lt;p&gt;Data modeling&lt;/p&gt;

&lt;p&gt;Power Query&lt;/p&gt;

&lt;p&gt;🎯 Goal: Build simple dashboards&lt;/p&gt;

&lt;p&gt;✅ Week 8: DAX + Power BI Projects&lt;br&gt;
📘 Sections: 22–26&lt;/p&gt;

&lt;p&gt;DAX formulas&lt;/p&gt;

&lt;p&gt;Sales &amp;amp; Insurance projects&lt;/p&gt;

&lt;p&gt;UPI project&lt;/p&gt;

&lt;p&gt;🎯 Goal: Create professional dashboards&lt;/p&gt;

&lt;p&gt;✅ Week 9: Excel + Power Query&lt;br&gt;
📘 Sections: 27–31&lt;/p&gt;

&lt;p&gt;Excel basics&lt;/p&gt;

&lt;p&gt;Dashboards&lt;/p&gt;

&lt;p&gt;SQL + Excel integration&lt;/p&gt;

&lt;p&gt;🎯 Goal: Become Excel + BI ready&lt;/p&gt;

&lt;p&gt;✅ Week 10: Tableau&lt;br&gt;
📘 Sections: 32–36&lt;/p&gt;

&lt;p&gt;Tableau basics&lt;/p&gt;

&lt;p&gt;Dashboards&lt;/p&gt;

&lt;p&gt;Student project&lt;/p&gt;

&lt;p&gt;🎯 Goal: Master visualization skills&lt;/p&gt;

&lt;p&gt;✅ Week 11: Cloud &amp;amp; Data Warehousing&lt;br&gt;
📘 Sections: 37–40&lt;/p&gt;

&lt;p&gt;Snowflake&lt;/p&gt;

&lt;p&gt;AWS + BI integration&lt;/p&gt;

&lt;p&gt;Cloud projects&lt;/p&gt;

&lt;p&gt;🎯 Goal: Understand modern data pipelines&lt;/p&gt;

&lt;p&gt;✅ Week 12: End-to-End + AI + Portfolio&lt;br&gt;
📘 Sections: 41–48&lt;/p&gt;

&lt;p&gt;End-to-end projects&lt;/p&gt;

&lt;p&gt;AI tools&lt;/p&gt;

&lt;p&gt;GitHub uploads&lt;/p&gt;

&lt;p&gt;Prompt engineering&lt;/p&gt;

&lt;p&gt;🎯 Goal: Job-ready portfolio 🚀&lt;/p&gt;

&lt;p&gt;📅 Weekly Study Plan (Daily Routine)&lt;br&gt;
🗓️ Monday–Friday&lt;br&gt;
📺 1–1.5 hr videos&lt;/p&gt;

&lt;p&gt;📝 Notes&lt;/p&gt;

&lt;p&gt;💻 Practice&lt;/p&gt;

&lt;p&gt;🗓️ Saturday&lt;br&gt;
🔁 Revision&lt;/p&gt;

&lt;p&gt;🛠️ Mini Project&lt;/p&gt;

&lt;p&gt;🗓️ Sunday&lt;br&gt;
📊 Portfolio work&lt;/p&gt;

&lt;p&gt;📌 LinkedIn/Hashnode post&lt;/p&gt;

&lt;p&gt;🏆 Final Outcome After 12 Weeks&lt;br&gt;
If you follow this properly, you’ll have:&lt;/p&gt;

&lt;p&gt;✅ Python for Data&lt;br&gt;
✅ SQL (Advanced)&lt;br&gt;
✅ Power BI + Tableau&lt;br&gt;
✅ Excel&lt;br&gt;
✅ AWS + Snowflake&lt;br&gt;
✅ AI Tools&lt;br&gt;
✅ GitHub Portfolio&lt;br&gt;
✅ Job-Ready Profile&lt;/p&gt;

</description>
      <category>datascience</category>
      <category>dataengineering</category>
      <category>machinelearning</category>
      <category>ai</category>
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