Project Tips EVERY Data Analyst Must Know

Hey friends,

So you’re thinking about a career in data and everywhere you look you see the words “project” and “portfolio” but what exactly is a project and portfolio?? I answer this question and share my MUST KNOW project tips here where I outline a project in 3 steps:

1) Identify the dataset and an objective (problem statement) that you will solve using the data

2) Perform your data analysis such as exploratory data analysis, descriptive analysis, or model building

3) Present your findings through documentation and a narrative that outlines your objective, findings, data analysis steps, along with any recommendation or lessons learned.

Once you have your project complete, the best way to share your project will be through Linkedin and your resume. Remember the whole point of your project is to add to your data analyst experience and use as talking points for your interviews. Projects are not required but are a great way to make yourself standout and get hired as many data analysts have found jobs by using their project work as experience. If you need inspiration of how to think through a project, I have this video as well.

Talk soon,

Agatha

🎬 My New Video

How to self-study technical things fast as a business intelligence engineer at Amazon, I am constantly learning new technical skills including cloud technology, data analysis, and AI. I talk about how I learn technical things fast and the tips that have worked for me to land my job in tech.

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Want to learn more from me? Check out 👇

• 📚 Resources → Data roadmap and helpful links

• 📄 Data Analyst Resume → Free ATS friendly resume template (make a copy in google docs to edit)