Can a non engineer be a data scientist?

Can a non engineer be a data scientist?

Although engineering remains one of the trending bachelor’s degree program, data science stream doesn’t compulsorily require a degree from engineering or any other stream. Data science recruiters always look for skilled personnel and those who can process the massive data that is out there.

Can I become a data scientist with a psychology degree?

Data science skills in psychology are not only in-demand, but they also yield lucrative salaries. Consider the following high-paying psychology jobs that benefit from a degree in data science: Industrial/organizational (I/O) psychologist.

How do I transition my career to data science?

If you are looking to transition your career to data science, the most common advice you may have heard is to learn Python or R, or to learn machine learning by pursuing courses like Andrew Ng’s ML course on Coursera, or to start learning big data technologies like Spark and Hadoop. I call this a technology-focused route to a data science career.

Is it the right time to transition from software developer to data scientist?

This is the right time to make the career transition from Software Developer to Data Scientist. You are at leverage for your next role with your passion and vision for data, backed up by your programming background and problem-solving attitude to business challenges.

Is machine learning the next big career move after data science?

The transition is, however, much easier for professionals with Machine Learning (ML) skills. Machine learning applications are closest to data science-related roles, and ML engineers can leverage their existing skill-set, including deploying models and incorporating them into apps, driving their career growth in data science.

How do I get Started with data science?

The first thing you’ll need to do is to learn Python. Take a MOOC, and as soon as possible, and build a basic project. When you’re comfortable with your Python skills, learn how to work with Jupyter notebooks, and take a few data science MOOCs. If you’re looking for more specific instructions, this blog post lays out a great learning path.