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How can you pay 2.5 lakhs for a course?

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I am a data scientist and I am saying Ai, ML is not the future. Full stack development is the future.

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I second this.

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Your sole reason to pursue the course is based upon its popularity and not out of any learning desire. I would suggest you to think about this again before making any kind of big financial investment.

likeuplifting

The sole reason for majority of people doing job is money (medium of exchange) for ur unending desires & wants...
As I said I want to explore the part which is needed and anyways this will get into every sector...
It's better to start now rather delay further...

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I'm in the same situation right now. I'm tired of my current domain (SAP functional consultant). So I though of exploring other domains.
I have also enrolled with Scaler. I'm still wondering if I should go ahead with it or withdraw (2 weeks to withdraw and get all the money back)...

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Sap is a good domain.Why are you leaving?

See please don’t follow the herd mentality. First you need to identify your core area of interest and the current skill set you have. Once that is sorted you need to understand what the additional skill set that you require to excel in the area of interest you like. Plan and focus accordingly. Everyone has a different career path and you would be the best person to judge what’s the best option for you.
It can be data science, ML, cybersecurity etc. whatever your choice is.

On the course front: you need to identify the Return of Investment(ROI) vs the time, money and effort invested. Only if the ROI has higher output vs investment then only it makes sense else it would not add any value and eventually you’ll end getting frustrated.

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Codes are available for every problem for stack-overflow but unless you understand the problems and reasons contributing for that problem NO Data Science course can help you and again you will face these problems when you deal with real world problems. The toy datasets we have don’t have any such problems. Also, they have many underlying assumptions which are never mentioned upfront unless you yourself check for it. As pointed out by my friend Mathematics is at heart of Data Science, If you can visualise numbers and distribution Welcome to Data Science domain

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You are so right, the datasets we get online requires so many assumptions and sometimes we just have to show the result due to limited context of the problem

There are so many free and paid courses to learn that are cheaper than Scaler. Also entry barrier is very high in data science. My advise will be go for data engineering. As a data scientist myself, I found very few places where work is really good. And for that good jobs entry barrier is masters and phd in data science.

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Dude, if you are already enrolled don’t hesitate on anything around you.

Work your ass off and let time judge your efforts.

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Hi , ai ml is not jus the future , every job has its own importance and learning, dont fall in the prey for social median data science influencers , they do not share real life struggles as a data scientist

You won't be a good AI/ML/Analytics professional without knowing the mathematics behind it. Just running a code won't make for a good Data Analyst or ML engineer

With commerce background you can make alot more money than data science/AI jobs and regarding salary in technical role full stack developers are getting high pays than Data scientists as they are developing full system where AI is a module inside it. In organization level sales people make the highest as they are the one who sales otherwise the product you developed will be unsold and it's just waste of money.

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Working on some law firm applications tonight and it sucks that I know that I am so capable and have a strong work ethic but firms can’t see beyond grades or the fact that I didn’t go to a t14 law school or prestigious undergrad. I’ve worked twice as hard and feel like I’ve barely even gotten half as much. It’s discouraging sometimes especially because I worked so hard with pretty much no guidance (first gen, poc, low-income) to get into college and do well and then get into a t30 law school

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Happy 2017 everyone!! How's everyone feeling?

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likesmartfunny

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Hi Fishes, I've been approached by Tiger Analytics for Data Science role and they would be sharing a test link which would be combination of python coding and MCQ (1 hr test) , could you please help me with what kind of questions to expect in the coding part and MCQs, how I can prepare for it?
People already working in Tiger Analytics would really appreciate your help.

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Currently, I am working in a metal production. I have 3 years experience in this role. I am learning Data Science from percipio platform of Skillsoft. It has 4 courses from Data Analytics to Data Scientist. Is tgat enough for me.

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I am starting out to learn data analytics, can anyone share what all resources(youtube channels, books, udemy/Coursera course etc...) did you like while you were preparing?

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Data Scientist at HP vs Data Science Analysis Manager at Cisco (IC), which one is a better position in terms of role and future prospects in Data Science. Years of experience is 6

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Microsoft Azure
Aws
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Please Need 11 likes for dm . Appreciate your help

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I am currently working as analytics professional. Some of the work included but not limited to are Insights generation, root cause analysis, creation and maintenance of data pipeline for owned charters and projects.

Regularly used tools are SQL (Hive, Trino, MSSQL), python, dashboarding tool.

Currently looking out for opportunities. If you have something into data science and analytics then please let me know. Will share my resume with you.

Regards,

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Hi Fishes, I am a data scientist in EY with 5 years of experience and I am also serving notice period and my last working day is 20th July. Could you please refer me at your places? My major area of expertise is NLP and also Computer vision. I also have experience in making API using Django and Flask. Thanks in Advance!! Adobe Amazon Microsoft IBM Oracle Expedia, Inc. Google Walmart

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Hello Fishes, is 15 LPA a reasonable compensation for Machine learning engineer (python, c++, computer vision and deep learning ) with 2 years of experience, current working for a product based company. If not what is the current industry standard. I keep seeing people posting 30+ LPA for data science roles with 3+ yoe.

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Hi fishes

I want a referral in the data science domain. I have an experience of 2.5+ years in data science and analytics with skills in python, sql, data Analytics, machine learning and SAS.

Currently having a notice period of 1 month, I’m looking for a change.

Please let me know if you have a suitable role for me in your organisation.

Thanks.

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I am having an experience of 9+ years into analytics domain with hands on exposure to data science and machine learning.
Please can you refer me in your organization for any suitable position.
Thanks in advance.

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Hi Fishes,

I've got offer from Dunnhumby, Fractal and Gartner for the role of Data engineer. Which one should I go for?

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YOE - 2.2
Gartner - 16LPA
Dunnhumby - 15 fixed + 1.5 Joining bonus+ 10% variable
Fractal - 13.5 LPA

likehelpful

How would you answer the question "Why do you want to switch to data science?" during an interview?

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Hi Everyone

My younger brother is in final year BE,
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Thanks in advance

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