Anyone who uses a computer or a smartphone continuously generates data. Just think of all the social network posts or videos uploaded daily to streaming platforms. Every device connected to the internet continuously generates data—tons of data!
Today, we are in the era of the Internet of Things (IoT). Many people use interconnected computers or smartphones daily. Many of these are smart devices (from smartwatches to smart cities). These devices are capable of generating usable data.
It has been estimated that 2.5 quintillion bytes are generated every day, globally. This is equivalent to the storage capacity of 5 billion of the latest flagship smartphones. The expected trend is for this volume of data to double every 2 years.
Such an impressive quantity of data holds an even more impressive value. This value emerges once the data is transformed into information. Information is crucial for understanding market dynamics. It allows us to define forecasts and business strategies, and to predict future scenarios.
To effectively manage these enormous volumes of data, cutting-edge technologies are necessary. But human skills are equally essential. These skills are needed to manage the technology and the data. The goal is to extract meaning and useful information, and to adequately present and interpret the insights.
These competencies generally belong to the Data Scientist. This is currently the most sought-after profession and is expected to increase in the coming years.
A Data Scientist is a professional with hard skills. These include mathematics, statistics, and computer science (programming, databases, tools). They also possess soft skills in analysis, problem-solving, and effective communication. Furthermore, they have managerial skills. Above all, a Data Scientist is passionate about challenges. They are curious about the world and capable of understanding and engaging with Business comfortably.
The path to becoming a Data Scientist starts with curiosity and passion. A solid educational background is then required. This is typically a degree (BSc or BA) in Computer Science, Engineering, Mathematics, Statistics, or another quantitative field. Even Finance, Economics, or Marketing are a good starting point. Any missing competencies will need to be acquired through postgraduate education.
Throughout my career, I have met several Data Scientist colleagues. Many started as Information Technology Engineers in technical offices. They later moved towards business driven by their passion for data analysis, dynamics, and trends. I have also met excellent Data Scientists working in business departments (Marketing, Business Unit). They learned to manage technical tools to achieve the same goals of data management and extracting valuable information.
An educational path like a Master in Data Science is highly recommended. It completes one’s basic education with all the necessary skills required for professional success. A Master’s program does not focus solely on technical skills and knowledge. It also, and above all, concentrates on Soft Skills and managerial competencies. These are more difficult to master than hard skills. Once acquired, however, they can make the difference.
Therefore, when evaluating an academic program, it is essential to check for certain elements. It is important that it includes lessons on managerial, business, and transversal skills (e.g., Legal aspects). Furthermore, team working activities and projects that require collaboration among students are vital. All these types of activities foster the development of Soft and Managerial skills.
Finally, to be or become a proficient Data Scientist, it is strongly advised to gain a deep understanding of the environment in which one works (industry, market, etc.). An effective way is to practice and work within the environment of interest. This allows one to learn precise business language, dynamics, main problems, weaknesses, and challenges.
“A personal tip: when choosing a field for your Bachelor’s, Master’s, or work experiences, do not just follow the job market (e.g., trends, job offers, salaries, etc.). Follow your passion instead!”
The motivational drive that comes from within (passion, aptitude, etc.) is always stronger than external factors (job, salary, etc.).
In conclusion, if you feel you have an analytical mind, the path is clear. If you are curious to better understand the mechanisms behind how things work and enjoy continuously facing new stimulating challenges, follow your passion! Build your path to becoming a successful Data Scientist!
Are you interested in the subject? Learn more about the topic with the Master in Data Science.
Article by Francesco Amendola, Program Director of the Master in Data Science.
