The quantum of time it takes to learn SQL and Python will vary depending on your individual literacy style and how important time you're suitable to devote to studying.

Still, if you formerly know PowerBI, you should have a good foundation in data analysis generalities, making it easier to learn SQL and Python.

SQL is a fairly straightforward language to learn, and you can get the basics down in a few weeks or indeed less. Python is a more complex language but also more protean and powerful. However, I would recommend learning Python, If you're serious about a career in data wisdom.

 Check out these sites you can use to learn SQL and Python

•  SQL Tutorial https//www.w3schools.com/sql/
•  Python Tutorial https//www.w3schools.com/python/
•  DataCamp https//www.datacamp.com/
•  Codecademy https//www.codecademy.com/learn/learn-sql
•  Udemy https//www.udemy.com/topic/sql/

Once you have an introductory understanding of SQL and Python, you can start exercising by working on systems. There are numerous datasets available online that you can use to exercise your chops. You can also find data analysis challenges and competitions online that you can share in.

 The further you exercise, the better you'll use SQL and Python for data analysis. With a little trouble, you should be suitable to learn these languages in months or lower.

A period of 1 month is quite sufficient to learn both SQL and Python. Even if you do not focus on Python at first, SQL is a must to learn. 1 month is enough to learn SQL to an intermediate level. You should be aware about writing queries and using joins at least. High level concepts can be learnt later then.
SQL is a mandatory skill, once confident on that, you may go on and learn Python as well.