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Data Science > How do I improve data science skills?
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How do I improve data science skills?

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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

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...
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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. read less
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I am online Quran teacher 7 years

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...
read more
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. read less
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Data Analyst || Developer || Software Engg. || Certified Trainer || MBA-IT

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...
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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.. read less
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