A study by IBM about the increasing demand for data science skills in United States . They propose six job categories based upon similarities in skill sets and functional roles: Data Scientists & Advanced Analytics, Data Analysts, Data System Developers, Analytics Managers, Functional Analysts, Data-Driven Decision Makers. And they project that the demand will increase 15% by 2020. “The strong demand for experienced candidates, combined with the strong growth of many DSA roles, creates a chicken-and-egg problem within the DSA job market: there aren’t many opportunities for workers to gain the DSA-related experience that employers are requesting.” The most demanding industries are: Professional Services, Finance and Insurance, Manufacturing, Information, Health care and Social Assistance, Retail trade. And they name these jobs as disruptors since there is a hight cost to hire, strong need for new training programs, high risk to future produtivity. Finally, they propose a few actions to be taken by all stakeholders to supress the gap between the demand and the offer of these professionals.
What is the best way to start learning machine learning and deep learning without taking any online courses? This question was originally answered on Quora by Eric Jang.
Another post from Kirill. Now he gives us 45(!) ways to activate the carrer: learn, practice, participate, socialize, promote, filter, prepare, (re)discover, adapt, produce, support. I would add another one: ENJOY !
A compendium of resources for crafting a curriculum on artificial intelligence, machine learning, and deep learning.
A webinar from SuperDataScience Kiril Eremenko, that might inspire and motivate everybody that is joining the Data Science world. Here is a summary of what he says: Myths that you should destroy ! 1 – Who am I to do Data Science? I am not an expert. 2 – I need X years of experience to apply to the job I really want. 3 – Employers dont care about my online learning. I need a degree. 4 – I dont have the time. 5 – I need a backgound in Maths or Programming. 6 – Data Science is going to be hard / confusing. 7 – You need to work +10 years to build a successfull carreer. Tips to follow ! 1- Build your brand 2 – Be an educator 3 – Never stop growing 4 – Be a communicator 5 – Your skills are highly transferable 6 – Network 7 – Focus on your streghs and ignore your weaknesses