Data Science has quickly emerged as one of the top domains in 2019 and is constantly evolving and finding its way into different industries, including the public sector. Children as young as 12-year-olds, are intrigued by this technology and are creating wonders. Here are some of the advancements in the field of Data Science that have taken place over the past week!
According to LinkedIn’s 2020 Emerging Jobs Report, Artificial Intelligence, Robotics and Data Scientist roles are placed in the top 5 jobs in Singapore. Reports for Australia, India and Asia Pacific region were also released, and data science skills are driving job growth all around the world. LinkedIn typically draws this conclusion by collecting data through public profiles that have held a full-time position over the last five years and determines the compound annual growth rate. Learn Python for Data Science, R and Apache Spark as well, since they are among the top skills required to acquire a Data Scientist job.
Companies are often investing in AI and are spending millions of dollars, but are they seeing a tangible result? They don’t yield a true ROI because they often lack the skills required to tackle the complex dynamics of the business. They are usually under pressure to invest in these technologies because modern brands are doing the same. 2020 will be the year when we see companies refocus their data science efforts to increase revenues and efficiency. The author also states that he sees an increased emphasis on data visualization.
Data Science involves a wide range of skill requirements such as programming languages, statistics and mathematics. It can be very daunting even for most adults. However, for 12-year-old, Siddhart Pilli, age was definitely not a barrier. He is Asia’s youngest Data Scientist and is currently working for Montaigne Smart Business. His school is extremely proud of him and supports this decision, allowing him to work on 3 days of the week and attend school on another 3 days. He was a child like any other, who loved to play video games. What sets him apart is his curiosity to learn how things work. This motivated him to start learning programming languages at such a young age. He has mastered Java programming as well as SQL and has moved on to more complex languages such as learning Python for Data Science. He believes that it is challenging but he can handle it and tries not to get stressed.
As you all know, Data Scientists and Software Engineers are in high demand. Earlier this year, it was reported that the job listings for Data Scientists jumped by 31% between 2017-2018. By looking at 500 tech skills related to Data Science that appeared in tech jobs posted on Indeed, the job search site has put together a list of skills that are required to work in Data Science. Python Programming Language dominates this list, but R is also growing fast and Spark has also shown rapid growth. Tableau, SAS and TensorFlow are a few others on the list. The article also shows the percentage of job postings in each segment such as Deep Learning and Natural Language Processing.
Data Science has proved to be a very integral part of our life and is being used across a range of industries and sectors. Data Science serves the public sector as well as the private sector. Government agencies and institutions have started using Data Science for the betterment of their country. For example, the Australian Government has more efficient practices and saves money of taxpayers since it started employing big data. The Department of Defence in the US has also employed big data and has created ‘CINDER’, a program used to boost national defence by leveraging new detection techniques that are capable of identifying foreign intelligence over the government and military computer networks.
For more weekly digests on Data Science, watch this space.