The world of Data Science is constantly evolving and finding its way into different industries such as fashion, healthcare, and entertainment. As the year comes to an end, let us take a look at some of the new trends to look out for in 2020. Keep reading to know more about the advancements in Data Science over the past week.
The Data Science team at Netflix has open-sourced its Metaflow Python Library which is a key part of the ‘human-centered’ ML Infrastructure it uses for building and deploying Data Science workflow. According to the Software Engineers at Netflix, Metaflow was built to help boost the productivity of its Data Scientists. The main idea behind Metaflow was to allow Data Scientists to see early on whether a prototyped model would succeed during production. This allowed them to fix the issue and speed up deployment time. Metaflow can also be used with popular Python libraries such as- Tensorflow, PyTorch, etc. A description of Metaflow is available on their website metaflow.org.
Job opportunities related to Data Science are massive considering about 2.5 quintillion bytes of data are generated every day. Since opportunities are abundant, Data Science aspirants must keep up with the emerging trends in the industry to be able to meet its requirements. Python is considered to be one of the main skillsets that one must possess in order to thrive in today’s job market. Python provides flexibility, allowing Data Scientists to solve issues in a shorter span of time. Insight-driven organisations are on the rise, firms are now using data, analysis, and reasoning for decision making on a regular basis. Read further to know what other job trends you should look out for in the year to come.
We often talk about the impact that Data Science has on various industries like Healthcare,Medicine and more. Projects undertaken by Data Science for Social Good (DSSG) range from increasing vaccination rates provided to children, identifying people at risk of developing diabetes, etc. The British Heart Foundation (BHF) launched a £10 million National Data Science Centre focused on the prevention of cardiovascular disease. This shows that investment in the healthcare sector is on the rise. The power of Data Science has been harnessed to create a more efficient NHS and pharmaceutical companies are now able to help patients receive new drugs at a faster rate.
Anandita Bhuyan, a twenty-two-year-old, knew she was wired for fashion and wanted to apply technology to it. She dropped out of MBBS and BA Philosophy to pursue her dreams. She dived into ML and attended tech forums and taught herself ML nuances. ML models recognise design details, colours, patterns, sustainability trends, etc., and are used to provide insights to different fashion brands. She owns a fashion analytics firm called Moodboard Analytics and says that work that would initially take weeks or months to do, she is now able to do within minutes. The number of non-computer science students attending Data Science and Analytics Programs is growing.
Data Science allows companies to become more efficient by using different scientific methods and algorithms. The role of a Data Scientist continues to show a promising career for skilled professionals. According to Glassdoor, the average salary in India for a Data Scientist is ₹10,09,433. A large number of companies are looking to hire in this domain, some of them being Oracle, Infosys, Cognizant, Wipro, etc. Take a look at the different range of salaries being provided by these companies as of December 2019.
For more weekly digests on Data Science, watch this space.1