Karim Hazimeh, MSBA’s Post

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Data Scientist | Data Analyst | Master's in Business Analytics

In the vast world of analytics, it’s easy to fall into the trap of wanting to master every tool available – Python, SQL, R, Tableau, Power BI, BigQuery, AWS, and the list goes on. Our subconscious mind often pushes us toward perfection, leading to anxiety as we compare ourselves to others and try to learn new tools while perfecting the ones we already know. However, the essence of being a good data analyst or data scientist is not about acing every tool but about being an effective problem solver with a creative mindset. Here’s a perspective to keep in mind: 1. 𝐏𝐮𝐫𝐩𝐨𝐬𝐞 𝐎𝐯𝐞𝐫 𝐏𝐞𝐫𝐟𝐞𝐜𝐭𝐢𝐨𝐧: Understand the purpose of learning a new tool. Are you learning it because it adds value to your current work, or is it just to add another skill to your resume? Focus on tools that enhance your problem-solving capabilities. 2. 𝐁𝐫𝐞𝐚𝐝𝐭𝐡 𝐎𝐯𝐞𝐫 𝐃𝐞𝐩𝐭𝐡: It's okay not to know all the SQL codes, R scripts, or Tableau calculations. Start by understanding how each tool works and what it can do for you. You don't need to dive deep into a tool you’ll rarely use. Prioritize your energy and time on tools that align with your work. 3.𝐒𝐢𝐦𝐩𝐥𝐢𝐜𝐢𝐭𝐲 𝐢𝐧 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: There is no perfect tool for creating reports. I’ve seen many dashboards filled with complexities but lacking actionable insights. The goal should be to create visuals that add value and are easy to interpret. 4.𝐏𝐫𝐨𝐛𝐥𝐞𝐦-𝐒𝐨𝐥𝐯𝐞𝐫 𝐌𝐢𝐧𝐝𝐬𝐞𝐭: Instead of merely thinking outside the box, try to better describe the box. This approach can spark new ideas and solutions, evolving your problem-solving mindset.

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