What You Need To Know About Data Science

The Future Of Work
Sep 4, 2018 · 2 min read

Although the use of the term ‘Data Science’ did not begin in the 21st century, actual work on the subject has gained ground now more than ever because of how much data is being created in the world, especially now in the advent of very accessible internet and most importantly, social media. These platforms now ensure that more data is created now than has ever been witnessed before in the world.

Here are 4 things you need to know about Data science:

  1. Data Science is a really broad field

Just as in many other fields, the more you go into it, the more aspects you meet. Under Data Science, we have Business Intelligence, Business Analytics, Data Analytics, Data Mining, Predictive Analysis, and so on. Yet, with how much Data Science is growing now, growth as an expert in the field never really stops. Eventually, it’s left to you to determine how far you want to go.

2. It is quick and easy to learn the basics

Basic knowledge of Math, Statistics and Programming are key for anyone to learn Data Science. However, it is so simple that anyone with absolutely no prior programming experience can be taught the basics in hours.

3. It is quite new in Nigeria

Data Science is a largely unexplored field, especially in Nigeria. The closest we have to Data Scientists in Nigeria are Digital Marketers with the knowledge of Google Analytics and so on, but even those are not so many here. It is like a cave of diamonds seeking more miners.

‘IBM Predicts Demand For Data Scientists Will Soar 28% By 2020'

4. At the moment, working as a data scientist is one of the highest paying jobs in the world

In the United States right now, a Data Scientist is paid an average of $129,761 per year (source: Indeed). Entry-level Data Engineers and Data Analysts are paid $90,276 (source: Payscale) and $70,034 (source: Indeed) per annum. What’s more interesting is that as long as data is generated, data scientists will always be needed.

Now is a good time to consider picking up this skill.

The Future Of Work

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"The best way to create the future is to create it." This project seeks to prepare professionals for the future through the Application of Data Science and AI.

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