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which projects can we add to our resume as a data scientist for a fresher?
beginner data scientist
6 ответов
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I believe you can add any project based on the business need. Which ever company you are applying for and based on their requirement, you can align your project.
Just to keep in mind, whichever project you add -> make sure you share your project insight on how your project helps the company.
It's kinda you working on the strategy of "What, Who, How & Why - that aligns with company."
The projects you are including employers may see from their angle. Like for eg., employers want to see what results you’ve got to shares with your skills so they can see how you might drive results for them.
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See if any of these give you ideas or help.
https://www.sololearn.com/discuss/1161104/?ref=app
https://www.sololearn.com/discuss/1571153/?ref=app
https://www.sololearn.com/discuss/1743900/?ref=app
https://www.sololearn.com/discuss/868874/?ref=app
https://www.sololearn.com/discuss/1636735/?ref=app
https://www.sololearn.com/discuss/1815772/?ref=app
https://www.sololearn.com/discuss/1659784/?ref=app
https://www.sololearn.com/discuss/2740187/?ref=app
https://www.sololearn.com/discuss/1816206/?ref=app
https://www.sololearn.com/discuss/2417490/?ref=app
https://www.sololearn.com/discuss/2748062/?ref=app
https://www.sololearn.com/discuss/2435517/?ref=app
https://www.sololearn.com/discuss/2392346/?ref=app
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As a beginner data scientist, there are a few projects you can consider:
Exploratory data analysis (EDA) project: Choose a dataset and perform EDA to understand the data's characteristics, identify trends, and outliers. This project will demonstrate your ability to work with data and extract insights.
Predictive modeling project: Choose a dataset and build a predictive model to forecast a variable of interest. This project will demonstrate your ability to build a machine learning model and make predictions based on data.
Data visualization project: Choose a dataset and create visualizations that help communicate insights effectively. This project will demonstrate your ability to present complex data in an easily understandable manner.
Kaggle competition: Participate in a Kaggle competition and submit your solution. This project will demonstrate your ability to work on a real-world data science problem and collaborate with others.
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Personal project: Work on a personal project that aligns with your interests and showcases your skills. This project will demonstrate your passion for data science and your ability to take initiative.
Remember to document your projects, highlight your contributions, and explain your thought process in your resume. Employers are looking for candidates who can apply their skills to real-world problems and communicate their work effectively.
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Ausgrindtube thnk u...