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Could Data Science Be Your Next Learning Adventure?
Data Science

Could Data Science Be Your Next Learning Adventure?

Towards AI Team
43 likes
July 31, 2020
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Last Updated on August 1, 2020 by Editorial Team

Author(s): Benjamin Obi Tayo Ph.D.

Photo by Holly Mandarich on Unsplash

Data Science

Five reasons why data science is a good learning adventure to pursue

I. Introduction

Everyone is trying to learn something new to enhance their knowledge and acquire more skills for personal/professional development. If you feel that you have a passion for data, then make data science your next learning adventure. This is the right time to unleash your creativity and learn about the vast opportunities in data science. This article will discuss five reasons why data science is a field worth exploring.

II. 5 Reasons Why Data Science is a Good Learning Adventure

a) Data science is fun

Analyzing data and using data to create useful visualizations and predictive modeling is challenging, exciting, and enjoyable. Data science is also a multidisciplinary field as it requires skills from mathematics, programming, statistics, and business insight. If you enjoy working with data, then data science is a field worth exploring.

b) Data is now a precious commodity

We live in the most interesting times of human history. The digital age has ushered in the “data era”, an era in which data has become a commodity that is more valuable than oil and gold. The amount of data produced globally on a daily basis is unprecedented and is expected to only keep on increasing as more of the world’s population gets more access to the internet. Think about the vast amount of data stored on platforms such as Google (your google searches), Facebook, Twitter, YouTube, Instagram, LinkedIn, Amazon, Netflix, etc. How about government data, health care data, customer data, and academic records held in the databases of thousands of universities across the world. Telecommunication data such as text messages, voice calls, etc. These are the most exciting times to learn about data science.

c) High demand for skilled data science practitioners

According to IBM, in 2019, businesses were creating and storing almost 2.5 quintillion bytes of data every day. Big Data is big business and businesses are swimming in oceans of valuable data. As one of the fastest-growing, multibillion-billion dollar industries, corporations, and organizations are trying to make the most out of the data they already have and determine what data they still need to capture and store. In addition, there continues to be an incredible need for data scientists to make sense of the numbers and uncover hidden solutions to messy business problems. With all the exciting opportunities in data science, educating yourself about data science is a great way to gain the skills and experience needed to stand out in this competitive field and give your employer an edge over the competition. If you have been putting data science off, this is the time to start your journey, do not delay.

d) Learning about data science provides an opportunity to unleash your creativity

When I started my journey to data science about 2 years ago, I was already working as a physics professor at the university. But as always, I always wanted to learn something new, something that can keep me academically challenged, something very exciting. After doing some research and also having conversations with a friend of mine who was also getting into data science, he encouraged me to pursue data science. I began my journey to data science about 3 years ago. Over this period of time, I have completed numerous data science and machine learning courses on platforms such as DataCamp, edX, Coursera, and YouTube. Challenge yourself to learn about data this 2020. If you have some background in mathematics and basic programming, you can teach yourself data science through self-study. You don’t need a college degree to learn the basics of data science.

e) You can use your knowledge in data science for generating side income.

There are so many side income opportunities for people with a data science background for example freelancing, tutoring, teaching, blogging. When I started blogging, I was making under $2/month from my data science articles on medium. Today, I now make over $600/month, certainly not house rent yet, but quite a good subsidiary income, especially as it is generated from something I love doing. If you already have some basic data science knowledge and are interested in writing data science blogs on medium, here are some resources:

Here are some resources that can help you get started:

How to become a top medium writer?

Beginner’s Guide to Writing Data Science Blogs on Medium

Choose the Right Featured Image For Your Data Science Articles

How to Succeed as a Medium Writer — 2 Lessons from an Ancient Book

How to Write a Headline

What Curators Look for in a Story

III. Summary and Conclusion

In summary, we’ve several reasons why data science is a field worth exploring. Everyone is trying to learn something new to enhance their knowledge and acquire more skills. If you feel that you have a passion for data, then make data science your next learning adventure.

Additional Data Science/Machine Learning Resources

How Much Math do I need in Data Science?

Data Science Curriculum

5 Best Degrees for Getting into Data Science

Theoretical Foundations of Data Science — Should I Care or Simply Focus on Hands-on Skills?

Machine Learning Project Planning

How to Organize Your Data Science Project

Productivity Tools for Large-scale Data Science Projects

A Data Science Portfolio is More Valuable than a Resume

For questions and inquiries, please email me: benjaminobi@gmail.com

Could Data Science Be Your Next Learning Adventure? was originally published in Towards AI — Multidisciplinary Science Journal on Medium, where people are continuing the conversation by highlighting and responding to this story.

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