solution using query and notna()
Code
# Code
```pythondata []
import pandas as pd

def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
    df = pd.DataFrame(students)
    df_cleaned = df.query('name.notna()')
    return df_cleaned
```
['Pandas']