✍️ Table of Contents

🤗 Welcome

If you’re an aspiring Data Analyst, this is for you! There’s never been a better time to be a Data Analyst. In the current era of explosive data availability and every company realizing the value of becoming “data-driven,” it’s no surprise that there’s been a surge in demand for the Data Analyst role. This role turns data into business value and actionable insights, paying a critical part in steering the company in the right direction. Now that’s impact!

With a treasure trove of resources out there, we thought we’d consolidate them into a comprehensive document. We believe that you don’t need to spend thousands of dollars and get fancy certificates to be an excellent Data Analyst. Just take our lead:


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📌 Tip #1: The order in which you learn your skills is important! Learn your tech stack in this order and don’t waste time:

  1. Excel
  2. SQL
  3. BI Tool
  4. Python or R (Optional)

💹 Learning Excel

You might be thinking, “Excel, really?” While modern BI platforms have made it so that using Excel for analytics and reporting is seen as “overly basic” in the perspective of data professionals, it is powerful and encompasses a lot of functionalities that take you through the analysis process. Plus, it’s still the most widely used analytics software for business users.

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Regardless of the BI tool you use down the line, it would benefit you to become an Excel power user. Here are some courses to learn from: