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- Data Scientist
- Job description: Your job will be to clean and explore datasets, and make predictions
- that deliver business value. Your day-to-day will involve training and optimizing
- models, and often deploying them to production.
- Why it's important: When you have a pile of data that's too big for a human to prase,
- and too valuable to be ignored, you need some way of pulling digestible insights from
- it. That's the basic job of a data scientist: to convert datasets into digestible
- conclusions.
- Requirements: The technologies you'll be working with include Python, scikit-learn,
- Pandas, SQL, and possibly Flask, Spark and/or TensorFlow/PyTorch. Some data science
- positions are purely technical, but the majority will require you to have some business
- sense, so that you don't end up solving problems that no one has.
- data36- https://data36.com/python-syntex-essentials-and-best-practices/
- kaagle.com
- 10 Best Data Science Education Platforms:
- 01. Best Data Science Education Platform For Beginners: Mode
- 02. Best Data Science Education Platform For Experienced Users: StrataScratch
- 03. Best Data Science Education Platform For a Specific Language: Udemy
- 04. Best Data Science Education Platform For a Specific Job: HackerRank
- 05. Best Free Data Science Education Platform: Exercism
- 06. Best Data Science Education Platform For Hands-on Learners: LeetCode
- 07. Best Data Science Education Platform For the Fundamentals: Qvault
- 08. Best Data Science Education Platform For Certification: Coursera
- 09. Best Self-Driven Data Science Education Platform: DataBricks Book
- 10. Best Lecture-Based Data Science Education Platform: Exponent
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