BUG: `dict_keys` cannot be used as `pd.read_csv`'s `names` parameter
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [x] (optional) I have confirmed this bug exists on the master branch of pandas.

---

#### Code Sample, a copy-pastable example
`test.csv`:
```csv
a,b
1,2
```

```python
import pandas as pd
data = {'a': 10, 'b': 20}
pd.read_csv('test.csv', names=data.keys())
```

Error:
```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.8/dist-packages/pandas/io/parsers.py", line 691, in read_csv
    return _read(filepath_or_buffer, kwds)
  File "/usr/local/lib/python3.8/dist-packages/pandas/io/parsers.py", line 451, in _read
    _validate_names(kwds.get("names", None))
  File "/usr/local/lib/python3.8/dist-packages/pandas/io/parsers.py", line 424, in _validate_names
    raise ValueError("Names should be an ordered collection.")
ValueError: Names should be an ordered collection.
```

#### Problem description

When a `dict_keys` object is passed, the keys aren't used as names. This is because `dict_keys` isn't list_like (https://github.com/pandas-dev/pandas/blob/4e553464f97a83dd2d827d559b74e17603695ca7/pandas/io/parsers.py#L423) or indexable, so the issue is understandable, but it would be nice to be able to pass `dict_keys` without issue.

#### Expected Output

Passing the dict keys to names shouldn't fail.

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : 4e553464f97a83dd2d827d559b74e17603695ca7
python           : 3.8.3.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.15.0-118-generic
Version          : #119-Ubuntu SMP Tue Sep 8 12:30:01 UTC 2020
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : en_US.UTF-8

pandas           : 1.2.0.dev0+632.g4e553464f
numpy            : 1.18.2
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 20.1.1
setuptools       : 46.1.3
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : 1.6.7
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : 0.999999999
pymysql          : None
psycopg2         : None
jinja2           : 2.10
IPython          : None
pandas_datareader: None
bs4              : 4.6.0
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.2.1
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pyxlsb           : None
s3fs             : None
scipy            : 1.4.1
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
