2019 was a year of Data Science. Today, there is probably no industry in the world that Data Science has not touched and transformed. The Golden Age of the Data Science has dawned upon us, remarkably changing the ways we function and interact with the world. To get an idea of its impact and demand just pass a cursory glance over the list of start-ups that made it to the top in 2019, and you will find that most of them are harnessing the boons of Data Science to build their businesses. Or just search for jobs related to Data Science and Analytics and watch your LinkedIn page flood with openings. As we know that Data Science is the top trending technology and has gained vast inference throughout. This has attracted interest of the learners and professionals to learn Data Science and they choose online Data Science Courses to master the technology.
Data science seeks to extract knowledge and insights from structured and unstructured data. It has become vital in every dimension of the business world; it optimizes how you serve your customers, hire employees, supply chains, finances, digital marketing, and other key functions. One thing that everyone in the industry knows today is that data is the strongest armor that a company can have to generate business value.
So, let us have a look at the top trends in Data Science that will help propel your business for achieving more success in 2020.
1) Internet of Things (IoT)
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Internet of Things is a buzzword that has been floating around the Data Science Industry for the past decade. But 2019 has seen the business industry explode with products built around IoT like never before. IoT has helped us finally achieve the stage where we are always connected, to things, people, places and pets. It gives humans the sense of control we deeply value.
IoT is being used with increased accuracy to make products and systems more user-friendly. From remote monitoring of pet behavior, while you stay at the office, to the nurse who is constantly updated on a critical patient’s vital functions, IoT has literally eradicated distance. It has also proved to be of great benefit in the energy and safety sectors.
Moreover, the data received from these devices if the being is studied to look for patterns and information that can be further capitalized.
2) AI and Machine Learning
AI and Machine Learning are at the crux of business data analytics trends and are transforming the digital landscape.
Machine Learning is the science of writing algorithms that can make sense of the vast amounts of data that you have, to able to identify patterns upon which you can base your business strategy. ML helps transform data to guideposts for a company and as you must have heard “Data can never fail you”. AI is what makes a system ‘smart’ imparting it with human-like (even better, finer and accurate) deduction skills.
Wonder why those Nike shoes you decided not buy until your next raise, keep showing everywhere on your social media feed? Well, that’s AI for you!
3) NLP (Natural language processing)
NLP has made the lives of non-data experts easier and given businesses an easier method of extracting complex information from the data they have at hand, without having to hire an SQL expert.
NLP has made great strides of advancement in Data Analysis providing richer and more quantifiable data. 2020 is surely going to see a rise in search via NLP.
4) Predictive Analysis
Big Data Analysis has given us methods of studying the current industry trends and putting a finger on the reasons behind the existing market trends. Data Science has made Predictive Analysis more accurate. Marketing, finance and even the healthcare sector are in a better position with its help to adopt predictive maintenance best practices. Seeing this inference, learners tend to lead data analysis by enrolling themselves in Data Analytics Course where they get hands-on experience with real world projects and case studies.
5) Blockchain
Blockchain technology has proved to be super useful to ensure authenticity and track data at every point. Data is secured at every stage through multiple signatures. Apart from maintaining data integrity, Blockchain also helps in preventing malicious activities and managing data sharing. Blockchain also facilitates predictive analysis.
6) DataOps
DataOps is a novel approach to the end-to-end data lifecycle, which applies new processes and methods for analyzing data. It is known to improve the cycle time of data analytics. One of its most useful features is the Automated Testing and Production Quality Assessment. Agile Development, introduced by DataOps gives a chance for data teams and users to work more efficiently. This delivers an unprecedented level of transparency into operations and analytics development.
So, if you are a data scientist or a business owner, with proper data science strategy in 2020, you can give a solid hike to your overall business performance. Let Data Science guide your way!