Five Rules of Data Programming
Programming in data science is an exciting domain.
The popularity of data has grown considerably in the last couple of years due to innovations in data collection, technology, and the mass production of data worldwide.
Programming languages have allowed data analysis, collection and interpretation and paved the way for concepts such as data science, machine learning and artificial intelligence.
Data jobs have skyrocketed and were termed the sexiest job of the 21st century.
Most professionals I have come across are keen to learn how to write computer programs, but not many end up doing it. They want to automate many data analysis or data-driven tasks but do not know where to begin.
In this free guide, I highlight the five rules of data programming you should consider before launching your data science career.
These simple rules will help you understand the foundations before you code.
Banji is a Data Scientist and Career Advisor who loves sharing authentic and exciting career content with professionals like you to help them land their dream jobs and be the best they can be.
As a professional in the industry, I have observed what works in the industry and what doesn't work. I don't provide theories. I provide actionable advice that works in practice.
My goal is to provide actionable career advice to help you navigate your career journey as you grow.
Feel free to connect with me on LinkedIn and Twitter or email me via email@example.com if you find the content of this book helpful. It's always a pleasure to receive feedback from readers.
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