{"id":9118,"date":"2021-09-17T10:52:04","date_gmt":"2021-09-17T08:52:04","guid":{"rendered":"http:\/\/www.ie.edu\/exponential-learning\/blog\/?p=9118"},"modified":"2021-09-17T10:52:04","modified_gmt":"2021-09-17T08:52:04","slug":"lets-obliterate-called-tech-vs-business-gap-bootcamp-diary-alejandro-berrizbeitia","status":"publish","type":"post","link":"https:\/\/www.ie.edu\/lifelong-learning\/blog\/data-science\/lets-obliterate-called-tech-vs-business-gap-bootcamp-diary-alejandro-berrizbeitia\/","title":{"rendered":"LET’S OBLITERATE THE SO-CALLED \u201cTECH VS. BUSINESS\u201d GAP | BOOTCAMP DIARY BY ALEJANDRO BERRIZBEITIA"},"content":{"rendered":"

\u201cAnyone can cook<\/i>\u201d was the motto of a famous chef in Ratatouille<\/i>, a touching animated film much to the chagrin of the food critic which was the movie\u2019s antagonist. This came to mind after a short while at IE\u2019s Data Science Bootcamp, because I realized that – much like the motto in Ratatouille –<\/i> \u201canyone can do Data Science<\/b>\u201d.<\/p>\n

It became immediately apparent that this wasn\u2019t the worn-out way of studying in which a cookie-cutter template determines if you are allowed into a long period of jumping through hoops at the pace of the academic world. Rather than that, I immediately got acquainted with colleagues and faculty both older and significantly younger, all currently active in very diverse industries. After all, who said you need to be an engineer, or be a certain age, or study in the traditional way, in order to learn science? The truth is that<\/strong> if you\u2019re willing enough to put in the necessary work, then you can join the ranks of the world\u2019s data scientists too.<\/strong><\/p>\n

We spend most of our lives making all kinds of decisions that impact our businesses, homes, health, friendships, finances, politics, etc. And Data Science is all about leveraging the power of the scientific method to improve the quality of precisely these decisions (which is possible today with help of our good friends: cheap computers and widespread data). Therefore, why is the nefarious adage of \u201csometimes you just have to go with your gut<\/i>\u201d still so pervasive, especially in the business world? Is it because the rigor of good decision-making is so impenetrable, or \u201ctoo methodical\u201d, or \u201cnot worth the time\u201d, that we would rather let our biases and prejudices drive significant decisions?<\/p>\n

Not at all. The fact is that these excuses are wearing thin\u2014as has been extensively proven by today\u2019s most successful companies and innovative business models. Because however much \u201cluck\u201d can be said to have a weight, what makes or breaks a business venture at the end of the day is the good quality of its decisions; especially in the long term.<\/strong><\/p>\n

To further illustrate this point, renowned businessperson Jeff Bezos once said to his audience of shareholders that: \u201c… If you\u2019ve made a suboptimal Type 2 decision, you don\u2019t have to live with the consequences for that long. You can reopen the door and go back through. Type 2 decisions can and should be made quickly by high judgment individuals or small groups<\/i>.\u201d Which goes to show that nobody needs a PhD to improve the quality of their decisions by at least intuitively grasping the Type 1 vs. Type 2 thinking framework that is so important to the scientific community (if you still don\u2019t know this, then Google it now!).<\/p>\n

In the end, no one should ever be told that doing Data Science is out of their reach, the same way that no scientist should be told they cannot truly enjoy a fine poem. Likewise, labeling people as either tecchies<\/i> or suits<\/i> only serves to impoverish what we all can accomplish together. So if you\u2019re reading this, whatever your background is, just let go of any prejudices you still have about supposedly right- or left-brained people and join the movement kick-started by the Data Science field for making better decisions everyday<\/b> – whether it\u2019s through a bootcamp or some other form of acquiring this knowledge. The world will be much better for it.<\/p>\n

Indeed, at the end of Ratatouille<\/i> it was the restaurant critic who ended up conceding, stating that: \u201cNot everyone can become a great artist, but a great artist can come from anywhere<\/i>\u201d.<\/p>\n

\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

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