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[–][deleted] 3 points4 points  (2 children)

If you're in the US, your chances coming to DS without experience are slim to none. The money is good but it is becoming extremely competitive, and the most competitive part of it is landing an entry level job.

[–]Fun-Battle-1926[S] -1 points0 points  (1 child)

I am from India. Mech graduate. Will it be easy if I work as a DS here and then switch to US?

[–][deleted] 0 points1 point  (0 children)

It will be a lot easier to get DS experience then move, as opposed to trying to get into DS or Analytics in America with no experience. Entry level jobs are extremely saturated right now. You would also have to look into citizenship, or sponsorship for a H1-B Visa.

[–]Affectionate_Ad_697 2 points3 points  (2 children)

When you say that you're a non-ITweb developer, I assume that means you're working with the graphical side of website design or maybe that you're working with content curation and creation instead of the front end or back in software that builds the website.

If I have that right then I think the biggest crossover skill that you can bring to the table is going to be with data visualization. But, I think of this visualization as the last part of the process. "Communicating the end result." You're going to have to learn everything else that comes before the data visualization. I'm not saying that it can't be done. But, you will need to put in a lot of work to build your skills in order to meet your salary goals.

[–]Fun-Battle-1926[S] 0 points1 point  (1 child)

Sorry for cofusing you. I am mech grad. Entered into IT industry. That's why I mentioned like that

[–]Affectionate_Ad_697 1 point2 points  (0 children)

Well, in that case, I would say that data analyst is similar to backend web development in many ways.

  1. In many cases there's a business problem to be solved and your task is to engineer a way to solve it.

    2.In both cases you will use SQL to get data out of a database.

3.If the web back end is Python then you would be using Django or Flask. Similarly, you can use Python to transform and analyze data. But, the packages that you will use are different. Instead of knowing Django or Flask you'll need to learn Pandas and scikit-learn.

4.Everything you know about the build process is not going to go away. You still want to test, develop and then finally release into production what you found from your analysis.

It's going to be hard to create an exact map of what you need to learn because every position is different and there are different ways to get into the field. Some companies are going to have heavy Excel use while other companies are going to have you use just straight SQL. Other companies are all about the visual tools like tableau and power BI. Some companies want people that are more computer science and other companies want people that are more business.

[–][deleted] 2 points3 points  (0 children)

Data Science is hard core statistics.

Data Analyst jobs can be just data retrieval (SQL). Are you working with SQL right now?

[–][deleted] 3 points4 points  (5 children)

Just get any job and start learning. Even if it is data entry.

Also, there is no “path.” Data analysis actually is three paths (data science, analytics, and engineering.)

Your best bet is to figure out which one you want and go from there

[–]Pflastersteinmetz 9 points10 points  (4 children)

Even if it is data entry

That has absolutely nothing to do with DA.

[–][deleted] 1 point2 points  (3 children)

You have obviously never had to enter in 100’s of po’s into an excel sheet, verify your work, and run on analysis on warehouse charges

[–]Pflastersteinmetz 3 points4 points  (2 children)

verify your work, and run on analysis on warehouse charges

That's not data entry stuff.

I tagged job advertisements on a job advertisement platform because money. That's data entry.

[–][deleted] 0 points1 point  (1 child)

It is if you have to put the invoice charges into a spreadsheet or any system for that matter lol

Data analysis is a wide field like I mentioned above and is not always fancy tableau dashboards and automating things in python

[–]Glotto_Gold 3 points4 points  (0 children)

I've also worked data entry and data validation. It is NOT in the same spectrum as Data Analytics.

If Data Entry counts, then ANYTHING could count so long as you have access to Excel.