5 Data Projects That Can Actually Get You Hired

5 Data Projects That Can Actually Get You Hired:-

Looking to boost your data skills? Here are 5 easy, free YouTube projects to get you hired! 🚀

1. Economics Data Analysis by Rob Mulla:– Learn to analyze economic trends with real-world data and visualizations. Perfect for beginners!

Link – https://youtu.be/R67XuYc9NQ4?si=Bd0wvelPnxnJsGUd

2. Bank Loan Report by Data Tutorials:– Build a complete loan analysis report, from data cleaning to insights.

Link- https://youtu.be/3I8wd1AShXs?si=8SUkbtq4X0X0GVyw

3. Amazon Web Scraping by Alex the Analyst:- Master web scraping to extract valuable data from Amazon.

Link- https://youtu.be/HiOtQMcI5wg?si=-SExWqMNOxwzUu4Q

4. Electric Vehicle Analysis by Data Tutorials:– Analyze the electric vehicle market with hands-on data analysis techniques.

Link- https://youtu.be/qjjt87YoOMg?si=NVG8D9FeYKEkn42u

5. HR Data Analysis by codebasics:- Dive into HR analytics and learn how to assess employee data like a pro.

Link- https://youtube.com/playlist?list=PLeo1K3hjS3uuVQccZa7yFwK3ltoGQOWbM&si=nHQd7qhKapXT0kL3

all available on YouTube! From economics analysis to Amazon web scraping, these hands-on projects will boost your portfolio.

Learn from top creators like Rob Mulla and Alex the Analyst.

Watch the reel to explore more!

Part 2 :-

Data Science Project that will actually get you hired

1. Predictive Maintenance –Analyze equipment data to predict failures, allowing for proactive maintenance and reduced downtime.

Link :- https://medium.com/@Medini_2020/predictive-maintenance-using-machine-learning-3d8b62d5df8e

2.Customer Segmentation with KMeans – Cluster customers based on behavior to help businesses personalize marketing and improve customer engagement.

https://www.linkedin.com/pulse/customer-segmentation-using-kmeans-step-by-step-guide-leonardo–j2vgf/

3.Retail Demand Forecasting – Use time series models to predict product demand, aiding inventory management and reducing waste.

https://towardsdatascience.com/machine-learning-for-store-demand-forecasting-and-inventory-optimization-part-1-xgboost-vs-9952d8303b48

4.Credit Card Fraud Detection with Autoencoders – Build an anomaly detection model to identify fraudulent transactions and enhance financial security.

https://curiousily.com/posts/credit-card-fraud-detection-using-autoencoders-in-keras/

5.HARVESTIFY – A simple ML and DL based website which recommends the best crop to grow, fertilizers to use and the diseases caught by your crops.

https://github.com/Gladiator07/Harvestify

Other Projects