Not impossible but it is hard. Think about it this way. You need to show that you can handle the work.

How can you induce confidence in someone without a degree? Through Proof of Work. Build something that people love to use and uses DS as its BE. 

Use said PoW to get a job. 

You didnt get a degree in STEM. So you have to work harder this way.

Product Manager

Software Engineer

You can join Startup All though from there Corporate

Yes its very take the route of data analyst then data

Is it possible to get into Data science from analytics without a tech/math/cs degree, given that most companies have statistics/tech/cs degree as a prerequisite in eligibility. I have quite some ex...

Welcome to Data Scientists's Private Community

Is it possible to get into Data science from analytics without a tech/math/cs degree, given that most companies have statistics/tech/cs degree as a prerequisite in eligibility.
I have quite some experience at creating models in my current role. 
If yes how to navigate through?

Data science without tech background

Data science without tech background- Grapevine

How to Become a Data scientist if someone is not from a technical background?

Data Scientist role ready

Senior Associate

Welcome to Company Reviews's Private Community

Hi fellows,

I am currently working in a non-tech project and i want to move to tech but I only have 1.5 years of experience and don’t have much skills in tech field.

I want to become data analyst. How to get to my goal? Can anyone suggest how to do or any skill that I can learn to get my goal ?

Can someone go from non-tech to tech background

Infrastructure Engineer

Hi! I want to streamline my career in data science domain. Currently into data analytics role where mostly work is on data visualisation and predictive modelling. I want to grow in this field but I want those roles which are mix of both management and tech. Are there any such roles in this field? Or is it hardcore coding only? Would like to understand what companies look for in aspiring candidates in this domain? In which areas one should become proficient to get a heft package? and will this field grow in next 5 years and will it be more immune to layoffs?

Data science

Analyst

Welcome to Personal Finance's Private Community

Currently pursuing my Bcom, no idea what to do,

Taken up commerce after 10th

Hello, I'm looking for advice or guidance to get into data analysis. I'm currently in a non tech role with non tech educational background. I've completed the DA course through Coding Invaders and now completely clueless about how to proceed further. My experience in my current job is 3+years.

Advice me to get into data analysis.

Software Developer

Welcome to IT Company Discussion's Private Community

How can one transition from a traditional IT role to a data science position?

Welcome to Business Roles's Private Community

Hi guys,

I have a tier - II MBA, 5 years of work-ex post MBA. I currently work in marketing and the pay is good. However, I struggle with my mental health in this role, especially because I am an introvert who deals with ADHD. I have figured out that IC roles with minimal dependency on other people is where I thrive. I also like working with data in my role, whenever I get the chance to do so.

 I figured that Data Analytics/Science could be one of the fields that I could work well in. 

How do I pivot to this field? Where do I start? What kind of salary structure can I look at? What would be the growth? Is it even worth it?

How do I pivot to Data Analytics/Data Science?

Brand Marketing Manager

Currently I have 1.5 yoe as a data scientist with CTC of 6 lpa. Thinking of transitioning to Data Analyst or SDE but can't figure out. I have graduated in Mechanical Engineering, so I don't have the pedigree to become a good SDE. What you all think?

Thinking of transitioning from Data Science to Data Analytics

Data Scientist

Welcome to Product Managers's Private Community

Hey everyone, happy to answer any questions around Data Science/ML/AI and making a career within it

A brief about me, I work currently as a Sr. ML Engineer at an Indian unicorn startup 
I graduated 5+ years ago and have since worked as a Data Scientist / ML Engineer at an ecommerce company and social media company. My designations have changed based on the industry requirements and work too changed based on that.

Would love to take questions on what it means to be an ML Engineer, my early learnings from a career in data science, and thoughts on AI.

Look forward to all questions :)

AMA 🎙️: Hi, I am diffusedbandit, Senior ML Engineer at an Indian Unicorn

Im an analyst and have experience of ~2 years and I think I'm pretty good with data,numbers and in general analytics. I know most tools in analytics but now I think I've done enough.

I like this field but have no clue how to get into DS. Any help will be appreciated.

I do analytics. Want to level up and try data science.

Product analyst

Any good certification to move into data science field from data analytics?

I have close to 6 years of experience as a data scientist- all hands on role. I lead workstreams & small sub teams. From here, how do I upgrade myself to a more leadership position in data science roles?

Most of my experience lies in traditional ML using python with a concentration in Pharma/Healthcare Industry.

What kind of skills should I pick up? And what kind of companies/roles I should aim for?

PS: I also completed my MBA recently.

How do I reach a leadership position in data science?

After another round of layoffs at my company, I am realising I would like to be prepared with my skills in case I am booted out at any time and also to apply to companies and see if I get a good role somewhere else. 

Right now, I work as a data analyst, yes but there is not a lot of tech skills required for my role. I use SQL and Excel and the rest of the analysis is done pretty much in a business context. 
It is more of a strategy role with data analysis support. My current role also requires me to take up certain projects which require DS but such projects have not come up as they were not required for the business. 

I want to prepare for a DS/DA role tailored with strategy. 
I need some guidance on what I should start with and if you guys will be kind to also direct me to good sources to prepare stuff from.

Looking forward to interacting!

Upskilling/Prep for interviews

Basically the title. I have been working in the sales domain for more than 5 years and for the last couple of years, I absolutely hate it due to stress and lack of interest. I have been learning python inconsistently for the last 1 year but now I have shifted my gears and learning statistics and ways to implement it on the real world problems through Python. Internal transfer is almost impossible as it is a pure sales organisation which outsource equipment from China and sell it here.

I am a little bit concerned about my efforts and time which I am dedicating for the learning as I have gone through various articles and similar LinkedIn profiles and found one point of commonality i.e. Almost everyone had undergone a course based certification from Learning Sites such as Upgrad, Simplilearn etc. this questions my process of learning and making me worried about my decision to go on a self learning path. I don't have any Godfather in companies or good friends through whom I can at least apply for a refer. All I can do is to apply directly over the website. Would like to know your opinion?

Is it necessary to do a data scientist course to transit from a different role?

Sales Manager

I am trying to transition from a business analyst to data scientist. I was wondering would a post graduation in the same be worth the expense and effort? Or having a significant presence in the community ( like kaggle, analytics vidya etc) is enough? 

If degree is a good to have then please recommend which one.

Thanks in advance!

Data science degree worth it?

Business Analyst

Hi All,

I want to move from Test Automation to Data Science. I have 9+ years of experience in test automation.
I have good 4+ years of experience in Python and Microsoft Azure. I was good at maths in school - 10+2 too (just mentioning that I don't fear maths)

Any advices for me how to start? I'm not able to figure out. Any leads would be highly appreciated

Test automation engineer to Data Scientist

Software Test - QA

I have 4 YOE on data analytics/ data science ( out of these 2 in Amazon - current company). Current position - Business Analyst, but doing work in Data Science domain using SQL, Advanced Excel, Python, ML, NLP, AWS, Tableau etc. Now I want to switch in Dream Companies like Microsoft/ Google. Can you please suggest me which are the suitable roles for me (there are so much confusion in designation names). Furthermore I need suggestion on how to be prepared for the interviews for these companies?

How to get a place in Microsoft/ Google in Data Analytics/ Data Science domain?

Hi all,

This question is for people who have been in this field (any form of analytics) for a few years.

My background (You can skip to the next section and jump back for reference here):
Role: Data Scientist/Analyst
Tech stack: Python (ML), SQL, Tableau
YOE: 2 years
Work: Started here as a fresher. Being in a service based company, we offer analytics solutions. I have worked to create a clients data pipeline(No code tool), to maintaining it, creating dashboards (Primary task) and ML models (Based on any major change in metrics).
Salary: On the lower spectrum (Definitely!)

Reason for this post:
I would call myself good with tools but lacks industry knowledge and the maturity to actually be in analytics. I do decent, but I have to depend on my manager sometimes to understand the business and provide correct solutions. But I guess that is how it is in case of any fresher starting out?

Question:
Is pursuing a 2 year MBA (Targetting only Tier 1 colleges) a good idea for someone who is already working in analytics for 3 years (by the time I join an MBA program)?
Please share your thoughts.

Context to the question:
I've discussed with someone who did their MBA and works in analytics for a bank now. And according to them, the best way to progress in analytics is to choose a domain and stick to it. And to reset my career, I should do an MBA. This will help me get an understanding of all the domains, improve my soft skills (and time management, etc.) and also give me a good place to start fresh. And they say it will help me in the future as well, as it gives me a very good alumni network.

I'm considering this because of my ability to network has not been that great and also to get the domain knowledge they said I'll be getting. But is it really worth it considering I lose 2 years salary, and salary growth and also have to spend a big amount. 

Thanks in advance to anyone who replies!

Data science without tech background

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