Data Science trends to follow in 2020; Is Automation of tasks the future?

Data Science has emerged to be one of the hottest trends in recent years. It has paved its way into several industries be it healthcare, gaming, or others. If you want to keep up with the latest innovations and advancements in the field of Data Science and Analytics, here are the top trends that you should look out for.

10 Data Science trends to follow in 2020

To keep up with the changing trends in the market, it is important to stay updated and understand where to invest your time. Researchers across various universities are doubling their research efforts towards Natural Language Processing. 2020 and the years to come after seems to be an extremely exciting time for Data Scientists and businesses.

Google announced Quantum computing towards the end of 2019, and it caused a ton of excitement in the world of technology. Although it is not being used in everyday applications as of now, there is scope for improvement in the years to come. The release of Microsoft HoloLens and Google Glass has shown us how far AR can go. Similarly, there are more trends to follow suit.

• AR
• Data Analytics as a service
• Ethical AI
• Quantum Computing, and more.

Is Automation of Data Science tasks the future?

Automation allows us to reduce time-taken significantly. The number of projects that an organisation can take up increases with the adoption of automation. The quality of solutions can also be improved with the help of incorporating data science and automation. Data Scientists have access to enormous amounts of data and can work on making sense out of it, and this helps in making smarter decisions. Overall, it is beneficial for the company to incorporate data science and analytics into its functioning.

Organisations such as SnapLogic are making use of programming interfaces to perform complete automation tasks with minimal or no coding.

Data science is a versatile field that has a broad scope in the current world. These data scientists are the ones who are the pillars of businesses. They use various factors like programming languages, machine learning, and statistics in solving a real-world problem. When it comes to programming languages, it is best to learn Python as it is easy to understand and has an interactive interface. Make efficient use of time in COVID-19 lockdown to upskill and build yourself.

If you are interested in the domain of data science and want to learn more about the subject, check out Great Learning’s PG program in Data Science and Business Analytics