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Key skills covered:
1. Data Cleaning:
– Importance: Start cleaning data. It is crucial for accurate analysis.
2.SQL:
– Database queries: SQL skills are a must for efficiently querying databases.
3. Programming:
– Languages: Python and R are the go-to languages for data science.
4. Machine Learning:
– Techniques: Master machine learning techniques to build predictive models.
5. Communication:
– Presentation: Effective communication is key to presenting your findings clearly.
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Data management
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