What are some of the key areas of certification for data scientists?

There are specific areas of education on which to focus as you consider your future career outlook as a data scientist. Companies are doing so many things with their data on the enterprise level since it gives them a foundation. So you can look into educational courses in big data, data mining, or predictive model building; and also Hadoop and Spark. Skills in BI or data science will give you a really good foundation to perform application analysis or data modeling.

Machine learning in AI is the domain that’s evolving very rapidly right now. Every technology company that’s focused on it has it as a very high, number one or number two priority and education is a must to stay up to date with the latest advances and technological methodologies. Have a look into professional certifications like linguistic programming, natural language processing, deep learning, and predictive analytics.

We see this trend in data management analytics, machine learning, and AI, all becoming part of the enterprise cloud in structure. As this moves quite quickly forward, it becomes much more comfortable now to set up and deploy an end-to-end infrastructure at an enterprise level. However, it still needs a scientist to understand how all the applications deliver one total solution. If you look at certification, you can think about cloud platforms and infrastructure, cloud development, or cloud architecture.