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Study basic and advance algorithms , learn how to evaluate models and tune hyperparameters effectively using real world projects eg: scikit learn, predictive models, tensorflow, pytorch, make new integrations, read others code and compare it with yours, see which is more efficient, try and learn 1 new complex problems n so on..
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To enhance your data science skills, focus on these key areas:
1. **Learn and Practice**: Dive into online courses on platforms like Coursera or DataCamp. Choose topics from basic statistics to advanced machine learning.
2. **Apply Skills**: Work on real-world problems through Kaggle competitions or personal projects using public datasets. This helps bridge theory with practice.
3. **Use Essential Tools**: Become proficient in Python or R, and familiarize yourself with libraries like Pandas and Scikit-Learn for data manipulation and machine learning.
4. **Stay Updated and Network**: Join data science forums, follow industry news, and connect with professionals to stay informed and gain insights.
5. **Build Soft Skills**: Enhance your ability to solve problems and communicate your findings effectively, crucial for making data-driven decisions.
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