1.掌握data cleaning, processing, filtering, present的具体过程。

2.阅读一些case来了解，如果deal with ambiguity和如何prioritize needs.

3. 怎么来确定baseline,还有识别谁为因，谁为果，determine cause and effect relations

4. 学习NLP+clustering

5.学习feature extraction和model evaluation

6.怎么做cross-validation

7.怎么解决over-fitting

8.阅读书籍关于大数据如何research 和boost user engagement,用户参与和用户体验是王道

9.学习recommendation system