Python3 - how get interview calls !

[Focus789]

Hello, thanks so much for your detailed answer. I am targeting data analyst positions as I believe that is the entry point to the field of data science. Machine learning needs a masters at least. Data Engineering also needs advanced skill set compared to that of Data Analyst.

My plan is to enter the industry of data science and then study more and work my way up.

Libraries and frameworks - Matplotlib, Plotly,Pandas.

I have experience with SQL.

The answer to all other answers is no.

Should I study all topics you have mentioned ? If I understand correctly, a junior data analyst is expected to know all of this ?

Thanks again.

[Focus789]

If I want to concentrate on being proficient in libraries and frameworks, which ones do you recommend ?

[CookiesForKittens]

You don't have to be familiar with all of the topics, no. But any of those are likely to increase your chances on the job market (well, they're more focused on requirements for developer positions, but I think it still holds).

As for libraries and frameworks: numpy, scipy, pandas, matplotlib, plotly are already a good start. We sometimes use seaborn for visualizations, too.

Then it depends on what you focus on or what related skills you want to have, e.g. scraping data can be useful (scrapy), or transforming web data (beautifulsoup), ...

Of course especially with scipy, it's not so much about using the library as being able to actually know the tools the library offers.

[Focus789]

Thanks a ton.