Best Data Science Portfolio Projects

Daryl A. Hirsch
2 min readNov 10, 2023

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“How can I showcase my data skills to the rest of the world?” you may wonder. Not to worry, the solution is to build a dazzling portfolio of data science projects!

A terrific portfolio is more than just a presentation of your skills; it’s your golden ticket to the data-driven paradise of Job where opportunities abound from every angle. You will be provided a treasure trove of the top data science portfolio projects, which will make you say, “Whoa, I can do that too!”

All of the projects listed in this article will be your resume or portfolio projects, ranging from beginner to intermediate level. Along with this, three dataset sources will be provided, as well as a strategy for completing the project and adding it to your portfolio.

So, whether you are a beginner or a seasoned data scientist, these tasks can help you advance from a good data scientist to a seasoned one. Let’s get started right now.

From beginner to advanced, here is a list of data science portfolio projects:

Data Scientist Portfolio Projects for Beginners

EDA (Exploratory Data Analysis):

Methodology: Analyze and discover key insights using a publicly available dataset of your choosing. You are free to use whatever programming language you like, but Python is preferred, as well as any data visualization tool you want. For example, you could use Airbnb data to identify the most popular cities and neighborhoods, as well as the most profitable rental properties.

Market basket analysis methodology: Analyze a collection of client transactions to identify trends in consumer behavior. This might be used to provide product recommendations, alter store layouts, or start other marketing initiatives. For instance, you could examine a grocery shop dataset to determine which items are frequently purchased together.

Predictive Linear Regression Modeling:

Methodology: Choose a dataset that includes an objective variable, such as property prices or car MPG. Create a basic linear regression model with programs like Scikit-Learn. Record and visualize the results of your model’s performance.

Housing Resources in the United States

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