Demand for Data Science Skills Continues to Grow

a computer screen showing data in graph form

"Over the last five years we have seen a significant growth in adoption of AI solutions in enterprise. In the last year itself such growth has tripled compared to previous years" - Saeid Abolfazli

In recent years, there has been a drastic increase in the amount of data generated and collected by both companies and individuals. Data science is vital to helping us make sense out of this data and figure out what can be done with it. However, the incredible volume of information that data scientists have access to now means it’s impossible to collect and analyze it all manually. That’s where technologies like natural language processing, cloud technologies and artificial intelligence come in.  

School of Continuing Studies instructor Saeid Abolfazli discusses this momentum behind data science and its related technologies.  

WHAT IS NATURAL LANGUAGE PROCESSING? 

Natural language processing is one of the most dominant AI technologies that is used to process unstructured and free text, so it helps to unveil unprecedented amount of knowledge and insight from unstructured data which is natural text. 

DATA SCIENCE, AI, NLP AND MACHINE LEARNING TECHNOLOGIES ARE INCREASINGLY BEING ADOPTED ACROSS BUSINESS SECTORS  

AI, machine learning, and natural language processing courses are growing in demand and that is a natural response to the businesses adopting these technologies in different areas.  

Not only is the adoption increasing in each business but also across different sectors. Different sectors are employing these solutions and in the next few years, I assume, this momentum will continue to grow and we are going to have more programs coming to SCS.  

DATA SCIENCE AND AI TECHNOLOGY SKILLS INCREASINGLY IN DEMAND  

Over the last five years we have seen a significant growth in adoption of AI solutions in enterprise. In the last year itself such growth has tripled compared to previous years. We are going to witness the same trend for the next few years and that would further squeeze our talent pool and demand for more AI, data science and NLP expertise.  

Saeid Abolfazli is a seasoned big data scientist and machine learning consultant, author, scientific editor, and speaker with more than 20 years of experience in IT industry. He teaches 3253 - Machine Learning3666 - Applied Natural Language Processing, and is one of the instructors teaching our newest courses in the area of study here at the School of Continuing Studies, 3759 - Feature Engineering in Machine Learning & Artificial Intelligence and 3760 - Cloud Technologies for Big Data, Machine Learning & Artificial Intelligence.