Monday, 2 January 2023

Welcome to Datafied Blog - Data concepts simplified

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Why Datafied?

The data world is a fascinating one. However, launching a career in data may not be simple, particularly if you lack the significant technical experience. At one point or the other in your journey into the data profession, I am sure you were faced with several struggles. Did you ever feel clueless when trying to make sense of the problem statements? Or feel a knot in your stomach when you have to communicate your findings to stakeholders? Or feel you need to be more knowledgeable about data analysis and statistical terms?


I can still recall how little I knew about coding, programming, statistics, mathematics, or artificial intelligence when I first began my career as a data professional. It was quite a struggle to fit in as I needed at least foundational knowledge in these fields. I had to rely on external materials, which might be time-consuming, confusing, and difficult to understand given my little technical experience.


I experienced these challenges and feel someone is going through similar situations and urgently needs support to gain a firm footing in their data career.



What we are all about


Datafied was founded in response to the need to bridge the knowledge gap for aspiring data professionals, enthusiasts, and individuals making the transition to a career in data by aiding in the simplification of complex ideas that you might come across as a beginner in the field of data or even as a working data professional.



How we intend to make an impact


We believe that everyone stands a chance to excel in their chosen data profession by being equipped with the necessary technical expertise like having strong foundational knowledge in mathematics, and statistics, hands-on experience in coding and programming, and being able to communicate most simply. We are passionate about taking the technicality associated with these data concepts by breaking them down into the simplest form that can be understood even by a 5-year-old. Driven by this passion, we want to help you simplify learning complications as you go through your journey working with data and becoming a data professional.


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