A report by world economic forum, on the future of "Data Science careers" Says
Jobs such as Artificial Intelligence, and Machine Learning Specialists or Data Scientists, in which data science skills are perhaps most profoundly applicable, are forecasted to be among the most indemand roles, across most industries by 2022.
Alongside the automation boom, several data science skills sets are getting obsolete for business outcomes. Consequently, companies are currently looking to hire, professionals with knowledge of advanced skill sets, which would be relevant for businesses in the post COVID-19 world.
Demand for data science talent is growing, and companies are still facing, a shortage of "skilled data scientists".
Data scientists role is not limited to any one particular industry, or line of business, leading to the creation of ample job opportunities in this field. We have listed for you the most in-demand skills, that employers look out ,when they hiring a data scientist.
1. Artificial Intelligence.
AI has brought about a shift in data science, and has rapidly changed the work landscape. Hiring trends for AI specialists show a growth of over 70% in the past 4-5 years, because of this substantial growth, and increased adoption by the organizations.
This gives a valid reason, why you should upskill yourself, and learn the essentials of AI.
2. Big Data.
A report by Statista suggests that revenues, from Big Data applications and analytics, will grow from, $5.3 billion in 2018 to $19.4 billion in 2026. Businesses seek professionals with the knowledge of big data, to manage big volumes of structured, unstructured, and semi-structured data. 3.Machine Learning.
Math and Statistics form the foundation, of machine learning algorithms, and are the crucial elements of data science, for tasks like data analysis, data sorting, and visualization.
It enables us to draw useful conclusions, based on data matrices.
A report from McKinsey suggests that, 49% of companies are currently exploring or planning to use machine learning.
4. Python.
Python is called the primary language for data science specialists. Being an open-source language, it is extremely popular.
Python includes high-level data structures, dynamic typing, dynamic binding, and features, making it suitable for complex application development.
5. R Programming.
To help the human brain interpret, and pull out meaningful data insights, Data visualization has emerged as a savior, and is a very important data science skill to pick. Data visualization refers to techniques used to communicate insights, from data through visual representation including charts and graphs.
It helps to churn the raw data, and help users analyze, process, transform, and visualize information.
Data scientists, statisticians, and data miners have been extensively using R Programming.
R programming has proved, to be an essential skill to have a "successful data science career".
6. Cloud.
Cloud is another in-demand skill for data science and machine learning, and this trend is speculated to grow stronger in the coming years. It allows setting up a very fast machine learning environment, that can be remotely accessed.
According to "Gartner", the market for public cloud services is projected, to grow by 17% in 2020 to a total of $266.4 billion.
The most in-demand cloud computing skills are Amazon Web Services (AWS), Java, Linux, DevOps, Docker, and Infrastructure as a Service (IaaS).
7. Deep Learning.
Deep learning is a subset of "machine learning", and is a prominent skill to master. It is best suited for specific domains like, image recognition and natural language processing (NLP).
Moreover, deep learning has its applications across different industries, including automated driving, aerospace and defense, medical research, industrial automation, electronics, etc., leading to extensive job opportunities.
These were all the skills that Data Science professionals need to work upon to excel in the post Covid-19 era. Upgrading your skills is the only way, that would enable you to boost your careers. Its possibly one way of getting away from the layoff’s radar, by acquiring these "Data Science skills".
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