How does Coursera's grading system work for data science courses?
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- How can I effectively contribute to the advancement of the field of data science by sharing my knowledge, code, and insights through blog posts, tutorials, and open-source projects based on my learning from Coursera?
- What are some resources for building a strong online portfolio and personal website to showcase my data science projects, skills, and achievements gained from Coursera and other learning endeavors?
- Can I use Coursera's data science courses to learn about different distributed computing frameworks like Spark and Hadoop for processing large datasets?
- What are some advanced concepts in unsupervised learning relevant to data science and machine learning that are covered in Coursera's more specialized programs, such as clustering and dimensionality reduction techniques?
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- Are there data science courses on Coursera that focus on specific machine learning algorithms?
- What types of assessments are used in Coursera's data science courses?
- Can I get personalized feedback on my assignments in Coursera's data science courses?
- What are some advanced topics in reinforcement learning relevant to data science that are covered in Coursera's more specialized programs, including deep reinforcement learning and multi-agent systems?
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