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Beginner – go straightforward on me lol

I am certain that is one thing that will get posted usually however right here goes..

I’m 40 years previous and really feel the necessity for a profession change. I’m at present an operations supervisor at a world provide chain firm. I’ve very primary SQL data which I discovered with free on-line programs which I exploit to assist me remedy points between our WMOS and the shopper aspect SAP. I’ve discovered easy methods to navigate and communicate to the information analytics however I’m rather more on easy methods to construct information fashions, dashboards, experiences and so on.. I see many alternative choices on-line for bootcamps or websites like codacademy or coursera that provide a less expensive at your individual tempo method. In fact there’s the standard faculty possibility as effectively, being that I’m 40 with a household, I don’t have the time to go to high school full time and/or the monetary sources to undergo one other bachelor program once more. If anybody is keen to reply a few of these questions to assist me transfer in the direction of the precise route I’ll vastly respect it. In fact any suggestions, recommendations, recommendation or critique is welcome.


– What are the preReqs somebody would wish to leap into this discipline? What fundamentals do I have to be profitable in one thing like a bootcamp on-line?

– Are on-line programs akin to bootcamps or at your individual tempo value it?

-How possible am I to land a job within the business after finishing on-line certs over a level?

– I see discussions beneath about how the present job market is saturated attributable to individuals like me.. lol. I perceive {that a} information scientist is completely different from an information analyst and I believe an information analyst is the place I’m making an attempt to move in the direction of – Am i incorrect in considering these are completely different with completely different job alternatives or are these normally the identical place in job market?



Comments ( 2 )

  1. You are not wrong data analyst and data scientist are two different Job profile.
    Regarding certifications they aren’t what an org looks for its the skill that matters.
    A good self paced course with hands on and project is good places to learn such skills.

    If I’m not wrong the data models are created by data engineers, there the core skill is around sql, dwh, and fact and dimensions.
    Dashboards can be done by data analyst.

    But you’ll find a lot of companies which required little bit of everything in data domain. I hope you find your desired opportunities in your career

  2. The answer to so much of this is “it depends,” largely because different companies are looking for different things. At some companies Data Scientist means you are building and training ML models; that’s the job description; anyone else working with data is an analyst. At other companies the ML Engineers build ML models, DS is there to provide actionable insights based on the company’s data. In general the smaller the company, the less differentiated the roles will be. In my first industry role my title was “analytics manager” and I did a bit of everything: data pipelines, KPIs, investigations, modeling, the whole shebang. But I was the only person in the data org! My most recent FAANG role was much more specialized, but I still ended up getting my fingers dirty in areas outside my formal discipline.

    Regardless, I do think there are some core skills that will be shared among the roles:

    * SQL: I think you can never not be good with SQL. You’re always going to be pulling data from tables somewhere.
    * Statistics: Having an undergraduate grasp of statistics will be super helpful. Specific topics would be: common distributions, measures of center, understanding variance and confidence intervals, hypothesis testing % T-statistics, and regression (linear/logistic).
    * Programming: you should be comfortable in one of R or Python (with pandas, of course).
    * Data visualization: Understand what types of visualizations are appropriate for communicating the specific information you’re looking to communicate.

    From there you can go into ML stuff if that’s your thing.

    That said, for all the emphasis on technical skills There are I think two soft skills that are highly valued and will often differentiate the top employees:

    * Product sense: Understand the product you are working on on, how it relates to the company’s strategy, etc etc. This will help you both to understand what stakeholders want and why they want it. It will *also* help you to understand if what stakeholders want is what is important. A good junior DS will be able to effectively and clearly answer stakeholder questions. A senior DS will help them understand why their questions are the wrong questions.
    * Communication: You can be the most technically savvy person on the planet, you can have at your fingertips the most impressive AI models that are producing actionable insights left and right and none of that matters if you are not able to communicate your insights in a way that influences decision makers.

    These are the skills you should focus on, how you get them is probably irrelevant. That being said the job market for junior employees is pretty saturated right now; getting that first job is going to be your biggest hurdle.

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