Excel vs SQL vs Python Which One Should You Master for Data Science? Still relying only on Excel for your data work? While Excel is a great tool for quick analysis, scaling your career in data science requires you to move beyond rows and columns and master tools like SQL and Python. This infographic breaks down common data tasks—from filtering rows to joining tables—and shows how Excel, SQL, and Python (Pandas) handle them. Want to switch from Excel to Data Science? Here’s your roadmap: 1/ Start with SQL – Learn how to query databases, use joins, and aggregate data. 2/ Pick up Python – Especially the pandas library for data wrangling. 3/ Practice Projects – Analyze real-world datasets and visualize insights. 4/ Build Intuition – Understand not just the "how" but the "why" behind data manipulation steps. If you’re serious about a high-paying Data Science role, don’t leave your prep to chance. Remember, you need structured learning with the right mentorship to crack such roles. So, I highly recommend checking out this. Check them here: https://bit.ly/43pl7Sa