Whether you’re just starting out your career in Data Science or have been in it for quite some time, it is important to upskill and stay updated about the latest technology. Constant learning by reading books and picking up new skills will help you in the long run. Here are the recent advancements in Data and Analytics that have taken place over the past week.
When was the last time you updated your resume or attended a networking event? Breaking into the field of Data Science is not an easy feat to achieve. With competition increasing at a rapid pace, it has become extremely important for you to stay updated with the latest trends in Data Science. By following older practices, the chances of getting recognized by employers become lesser, making your job hunt more tedious. Here are 9 practices you must follow to land your dream Data Science job.
Applications of Data Science have made their way into research institutes, college projects and across various companies. It is crucial to have sound knowledge about this field, and ebooks are a great way to learn. There are multiple sources available online such as blogs and youtube videos, but if you’re looking for a carefully curated and comprehensive guide, an ebook would be the right place to go. Ebooks are becoming increasingly popular, as with the limited time available to us daily, it becomes easier to access anywhere, at any point in time.
Extracting relevant and actionable insights from data has become imperative across organisations, increasing the demand for efficient data analysis and processing. Data Scientists are required to know a wide range of skills including math, business, and communication, science, etc. In addition to technical skills, excellent communication and an understanding of consequences are crucial. Check out this list of technical as well as non-technical skills that one must possess to stay on top of the competitive market and become a successful Data Scientist.
Oracle has introduced a new data service that expands the number of services available on its cloud platform. It is also launching a new data catalogue service that would help users organise data for analysis. CloudSQL also enables users to query cloud data stores and run Apache Spark big data analysis as a service. Unveiled on February 12, Oracle is playing to its strength by allowing Data Scientists to work together and collaboratively generate ML models and then apply them to production applications. Alongside the new Data Science services, a new Data Catalog was launched, which allows organisations to track datasets that help cloud deployment.0