Cybersecurity Data Science (CSDS) is a rapidly emerging profession focused on applying data science to prevent, detect, and remediate expanding and evolving cybersecurity threats.
Our Data Scientists help companies and businesses to gain actionable insights about the market and ways to better their products and service. At CyberGuard Solutions our data Scientists work as decision makers and are largely responsible for analyzing and handling a large amount of unstructured and structured data of our clients that are than processed into business-insights after processed by our AI and machine learning based data-analytics solutions. There different tools that our data scientist use to enhance the productivity of companies including:
SAS: It is one of those data science tools which are specifically designed for statistical operations. SAS is a closed source proprietary software that is used by our team to analyze data for medium to large sized companies. SAS uses base SAS programming language which for performing statistical modeling and it also offers numerous statistical libraries and tools that our team uses for modeling and organizing their data.
Apache Spark: It is a powerful analytics engine specifically designed to handle batch processing and Stream Processing. It comes with many APIs that facilitate our data Scientists to make repeated access to data for Machine Learning, Storage in SQL, etc.
BigML: It provides us a fully interactable, cloud-based GUI environment that we use for processing Machine Learning Algorithms, clustering, classification, time-series forecasting, etc. for our clients.
Similarly our team uses a range of different tools for data science to achieve the desired goals of our clients’ whist ensuring maximum satisfaction every single time.
