1. what is responsibility of data ayalyst. 2. About project. 3. how to deal multi- source problem. 4. what are key skill required for data analyst. 5. some statistical method that are useful for data anylyst.

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Accepted Answer

1)Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.

2) Exploratory Data Analysis, Sentiment Analysis, Movie Recommendation Reviews

3)Decide Which Sources to Use. The first step is to identify which data you want to extract. or Choose the Extraction Method

4) Statistics, Data Visualization tools like Tableau, PowerBI, etc..., a little bit of Machine Learning or any Programming Language

5)Basic knowledge of Statistics, Regression Analysis, Hypothesis testing, etc...

1. what is responsibility of data ayalyst. 2. About project. 3. how to deal multi- source problem. 4. what are key skill required for data analyst. 5. some statistical method that are useful for data anylyst.

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