Oracle Data Analyst Interview Question | How to Handle Missing Values in a Dataset using Python

[@ShubhamSoni-x4x]

It will be very helpful if you come up with an SQL project that can be showcased in resume for a data analyst

[@ayomideoyedele4851]

Thank you for this. Can you also talk on case studies for data analyst/scientist interview

[@corp_gamer]

Could you please make a video on SQL case study (Project) - like Data Cleaning and transformation, finding insight.

[@hairavyadav6579]

Mam Please bring project on how sql used by data analyst in organization please mam.

[@datasciencewithnish]

I'll be posting some good SQL and Python-based projects post december.

[@hairavyadav6579]

@datasciencewithnish Thank you 🙏

[@DeekshithAE]

1st view

[@hairavyadav6579]

data={"ID":[101,102,np.nan,104,105,106], "Age":[25,np.nan,35,42,np.nan,28], "Income":[55000,63000,np.nan,72000,48000,np.nan], "City":["New York","Los Angeles","Chicago",np.nan,"San Francisco","Houston"], "Score":[88,np.nan,92,85,np.nan,91]} df=pd.DataFrame(data) For practice go here