GAHZLY

I have had the pleasure and the opportunity to do one of my favorite hobbies in the past two years, and that is teaching. I have had the opportunity of teaching several different topics in the field of computer science, from introductory courses to upper division courses, and I have seen a pattern along the students which has been a puzzle for me especially in the upper division classes. One of the main surprising facts I have noticed, is that most of the students have little or no practical experience in software development, especially in the upper division classes. That is, they have not been given enough opportunity to do hands on projects to improve and fine tune their programming skills in the lower division classes, and when they take courses such as Software Engineering, most of them don’t have the ability to create a fully functional system from the ground up. Now I can understand if this is the first year for the student and they are just starting out and getting to know...

Data Science & Cybersecurity – what is big data analytics? Why is machine learning applications so important? Why did InfoSec Professionals require to learn about DS? What to know about “data bots” as a data science professional? Differences in data science vs machine learning? How to crack cybersecurity jobs with data science advantage? DS is a multi-sided field that uses scientific techniques, methods, algorithms, and security practices to extract information and insights. With the help of DS tools such as Machine Learning and Big Data Analytics, businesses can now get access to meaningful insights hidden within massive data-sets. This is where DS can help create a significant and lasting impact. DS and cybersecurity, two of the most popular career paths, are on a collision course. Very intelligent, seasoned, senior managers do not fully understand the importance, or the complexities, of DS and cybersecurity. “There’s a mad rush in the cyber securit...

Cyber forensics is studied as part of the digital forensic science subject. It pertains to the legal evidence lying in the digital storage media and the cyber space. Since the advent of digital age, the need to have cyber professionals has grown exponentially. It has basically resulted from the internet explosion in India that was witnessed recently owing to e-governance, e-banking, e-commerce and social media. The demand for the course of B. Tech. Computer Science with Cyber Security and Forensics was triggered with continuous attacks on social media and its misuse. So, there was a cyber terrorism threat to the internet security of our country which it was not properly equipped to handle. After this threat started to impact the national security, the Indian government passed a resolution to have its cyber protection architecture in place at the national level. Cyber Security Policy for Data Protection The policy was proposed in 2011 seeking to protect the national assets from cyber-a...

Data Science and Business Information gathering are sometimes, erroneously, used as interchangeable terms. Both Data Science and Business Information gathering provide a great deal of added capabilities and benefits to your company, even though they are different. A few years ago Business Information, also known as BI, was the king of information used to differentiate your company from your competitors. BI was gathered by sophisticated software that investigated a company’s databases and pulled out relevant information and KPIs that were used to make management and director level decisions. However Big Data came knocking on the door with its myriad of unstructured information coming from everywhere, and BI began to struggle as it needed more structured data to work from. Data analysts that had until more recently were the luxury hiring of larger companies, began to be more sought after. Using appropriate software, they could integrate the mass of Big Data and find not only KPI an ...