Not withstanding. I’d like to hear some thoughts on how to transition into a career in Data analytics or AI , where I believe there’s a lot of potential as a lot of companies are yet to get on this analytics bandwagon.
In the short term, make use of the Machine Learning guild at Deloitte. Coursera and edX have great courses. Then network to get onto an analytics engagement. If you want to do analytics work at a tech company, though, that needs a good foundation in statistics and coding, so an analytics related masters would be a more viable way to make that transition
Thanks D2, I’ve signed up for the Machine Learning course on Coursera and the Python course on Udemy. I’m not sure on the acceptance for these certifications in the market, have you come across anyone switching jobs solely with these MOOCs certificates ?I’ve a Masters degree in MIS so I’m not gonna get another degree anytime soon
I have heard many people say you can just to do self-study with MOOC’s to get into analytics, but my observation is that this is both yes and no, depending on where your starting point is and the type of analytics work you want to do. If someone has a strong software engineering background but don’t know statistics, then they could make the transition with MOOCs. If someone is very solid in stats and have some coding skills, then they could use MOOCs to upgrade their coding skills. But with just an introductory level of coding and stats / linear algebra, etc, it’s a pretty high bar to cross.
Then the other thing to consider is what you’re going for in the long term. If it’s to stay in consulting and do analytics, MOOCs may be enough for some engagements (as there are a lot of people in consulting just doing visualizations, simple predictive modeling, or in some cases just “fake” data science :/ ). But for more advanced stuff in consulting or at tech companies, I have not seen anyone make it there without some solid background in a related field from undergrad and in most cases they have Masters it PhD’s to do deep learning stuff. My observation is also that early age startups are much more flexible than more established companies. So my feeling is: to do the more advanced stuff or be in a high quality data science role outside of consulting, at least a masters unfortunately is most likely needed.
These are my observations, but I am still figuring it out too
Thanks D2, Extremely helpful this! Appreciate your insight! I definitely want to stay away from the fake data science projects that we do but can’t distinguish with my level of understanding though :) .I know there’s a division called Cognitive Analytics . Let me burrow some information on this from DNet.
Not withstanding. I’d like to hear some thoughts on how to transition into a career in Data analytics or AI , where I believe there’s a lot of potential as a lot of companies are yet to get on this analytics bandwagon.
In the short term, make use of the Machine Learning guild at Deloitte. Coursera and edX have great courses. Then network to get onto an analytics engagement. If you want to do analytics work at a tech company, though, that needs a good foundation in statistics and coding, so an analytics related masters would be a more viable way to make that transition
Thanks D2, I’ve signed up for the Machine Learning course on Coursera and the Python course on Udemy. I’m not sure on the acceptance for these certifications in the market, have you come across anyone switching jobs solely with these MOOCs certificates ?I’ve a Masters degree in MIS so I’m not gonna get another degree anytime soon
Following
I have heard many people say you can just to do self-study with MOOC’s to get into analytics, but my observation is that this is both yes and no, depending on where your starting point is and the type of analytics work you want to do. If someone has a strong software engineering background but don’t know statistics, then they could make the transition with MOOCs. If someone is very solid in stats and have some coding skills, then they could use MOOCs to upgrade their coding skills. But with just an introductory level of coding and stats / linear algebra, etc, it’s a pretty high bar to cross.
Then the other thing to consider is what you’re going for in the long term. If it’s to stay in consulting and do analytics, MOOCs may be enough for some engagements (as there are a lot of people in consulting just doing visualizations, simple predictive modeling, or in some cases just “fake” data science :/ ). But for more advanced stuff in consulting or at tech companies, I have not seen anyone make it there without some solid background in a related field from undergrad and in most cases they have Masters it PhD’s to do deep learning stuff. My observation is also that early age startups are much more flexible than more established companies. So my feeling is: to do the more advanced stuff or be in a high quality data science role outside of consulting, at least a masters unfortunately is most likely needed.
These are my observations, but I am still figuring it out too
Thanks D2, Extremely helpful this! Appreciate your insight! I definitely want to stay away from the fake data science projects that we do but can’t distinguish with my level of understanding though :) .I know there’s a division called Cognitive Analytics . Let me burrow some information on this from DNet.