Find a (data related) question you truly care of. Formulate a reckless commitment based on this question and make sure to hold yourself accountable – some audience helps. Network Find (a) mentor(s) who supports you in structuring your learning process (based on 1). Talk to people who can help you getting some additional insight regarding…
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Having come a long way from where I had started my Data Science journey, I realise there is not one MOOC/book, which would enlighten an individual with everything one needs to know about Data Science. But there are few intangible details, condensed in four points, which would be essential to just anybody. Here it goes:…
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“Focus on leveling up your skills. And you will go far.” The inspiring words said by none other than Matt Dancho have resonated with me ever since. Getting to know Matt via LinkedIn and being his student in his two wonderful data science courses are part of what makes my learning journey to become a…
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A succinct introduction to Data Science career. Inside this modern technophile name DATA SCIENCE lies the archaic desire to organise gigantic amount of data created by us and finding better methodologies and engineering tools to analyse and make use of the data produced to drive decisions in the proper course. All the data crunching methods…
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No matter of which business area to set up a team, there is a wide range of considerations. Typically, we hire people for their qualifications, and in general we are forced to fire them because of their personality. Within HR and project management, a lot of literature and recommendations exist in relation to how the…
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When it comes to hiring Data-experts, many businesses are dumb… Why the heck would you need a Mathematician with a masters in Statistics and a Ph.D. in Algebraic Topology if all you want is someone that prepares Excel reports once in a while? It is not all their fault, though; after all, they simply want…
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Data Science is an amazing tool in the organization’s toolbox. It can provide immeasurable value when done well. And yet Gartner estimates that by 2022, only 20 percent of analytic insights will deliver business outcomes. What’s missing? Linking your analytics outputs to tangible business objectives. Call this concept “Data Strategy”, “Data Culture”, “Data Literacy” or anything else…
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We may know the power of deep learning in AI/data science world. In this post, I would love to share some experience in working with deep learning (which has unfortunately not been applied in production due to the drawbacks): 1. Deep learning is computationally expensive: I once was asked to model a time-series regression with…
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The world is facing several problems related to water: flooding, drought, access to potable water, availability of water for agricultural production, pollution of water resources, and an absence of basic sanitation. The public and private sector, profit and non-profit alike, are all working tirelessly to develop tools to improve the decision-making process to better forecast,…
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