Python for Data Science and Machine Learning

Overview

Have you thought about a career in data science and machine learning but didn’t know where to start?

Demand for professionals in the machine learning (ML) and artificial intelligence (AI) space is growing exponentially, with no signs of slowing thanks to the ever changing data science landscape. In fact, as the availability of machine learning tools becomes more accessible, companies will begin adopting them at a higher rate – continuing to drive the demand of data science analysts and engineers, especially those with experience in programming languages like Python.

Industries such as finance, health care, e-commerce, and technology will increasingly be reliant on data to drive strategic value and product and service innovation – leveraging data-driven insights to gain competitive advantage – and seeking experts in data analysis and machine learning techniques to meet growth goals.

The  Python for Data Science and Machine Learning programme in collaboration with Harvard University - HarvardX is a Professional Certificate.

Job Outlook

• Employment of data scientists is projected to grow 35 percent from 2022 to 2032, much faster than the average for all occupations. (U.S. Bureau of Labor & Statistics)
• According to a report by LinkedIn, machine learning engineer was the fastest-growing job in the US in 2019, with a 344% increase in job postings since 2015.
• The demand for AI and ML specialists will grow by 40% from 2023 to 2027. (365datascience)
• The average salary for a Machine Learning Engineer in the US is $155,888. (BuiltIn.com)
• According to Fortune Business Insights, the global Machine Learning (ML) market size is expected to grow from $26.03 billion in 2023 to $225.91 billion by 2030.