Agada Sunday August

📊 If you think Excel is outdated, think again.

Many people overlook Excel, but it remains one of the most powerful and versatile tools for analysis. Beyond simple formulas, Excel supports pivot tables, Power Query, and advanced data visualization—features that still make it essential in modern analytics workflows.

I often use Excel to clean data quickly, spot patterns, and test logic before moving to Python or Power BI. It helps me focus on understanding the data rather than just writing code.

For beginners, mastering Excel builds the foundation for deeper tools and helps develop a structured analytical mindset.

👉 What’s one Excel feature you wish more people used?

One common myth I often hear is that Data Science is only about coding.

While programming is important, it is only one part of the bigger picture. Data Science involves asking the right questions, preparing and cleaning data, analyzing trends, and finally telling a story that decision-makers can understand. Coding is a tool, but critical thinking and communication skills are equally vital.

As I build my career, I am focusing not just on technical skills like Python and SQL, but also on the art of explaining insights in simple, actionable ways.

What other myths about Data Science have you come across?

1. Opne Chatgpt
2. Upload Your Image
3. Prompt

"A cinematic portrait of a young man wearing a black hoodie and classic round eyeglasses. He sits against a completely dark background, hands clasped in front, with sharp face detailing and intense expression. Dramatic lighting enhances the mysterious and powerful atmosphere."

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How to create this in 30s 👇🏻