Data Science Future scope
There are various data science future scope that candidates can learn during the data science course curriculum to develop understanding of sub-domains of data science courses. Companies hire employees that have specialized skills in any of the verticals of data science courses.
- Cloud computing is the delivery of computer-related services, including servers, storage, database, software, analytics, over the Internet to offer rapid innovation and flexible resources.
- You are free to pay only for the cloud services you use, helping lower your operating costs, and run your business more efficiently.
- Cloud computing offers many advantages such as efficient cost, speed, reliability and security.
- Not all clouds are the same and according to different needs of the user, there are several different models, types and cloud computing services.
- You need to determine the type of cloud computing architecture that your cloud computing services will be implemented on. There are 3 ways to deploy cloud services: on a public cloud, private cloud or hybrid cloud.
- Cloud computing has day-to-day applications in your life, from using online service to send email, edit documents, watch TV, listen to music, play games or store pictures and other files.
- Networking refers to the connectivity between systems, mobiles and IOT devices. The Basics of networking include switches, routers and wireless connections access points.
- The devices connected via networking are able to communicate with each other and across networks.
- In Networking, the data is exchanged within networks and data science finds its applications in dealing with analysis and maintenance of such large amounts of data.
- A trend has been observed wherein networking professionals are seeking better career options in Data Science, though the tools and advancements used in both the domains are extremely different.
- Finding a suitable job in Data Science is easier if you have networking skills as the companies require a candidate with additional skills.
- Data is being created at exponential rates. It includes our social media photos, search history and many other data sets.
- It is the responsibility of the companies that hold such data to make sure that they are secure.
- Cybersecurity deals with the techniques and software used to protect data and systems.
- Cybersecurity data science (CSDS) is a scientific approach to identify potential attacks on digital web. It uses the data-based approach that applies machine learning techniques in order to identify and predict future threats.
- Through the application of machine learning models, the attacks that are committed by code different from the source can be detected. It is called anomaly detection.
- Through another algorithm called penetration testing, machine learning models can adapt from past experiences to protect the data and data structures.
- By the virtue of data science courses, cybersecurity professionals get the information that can better inform them how to counter attacks.
- Steganography is the art of encrypting, embedding and hiding confidential information in Pictures and Videos.
- Data is the foundation of any business. The interactions through data remains an integral part of a business. Thus, being able to utilize data in an efficient way, without the fear of being breached, is a major goal.
- Steganography is the major data encryption tool in the IT industry, especially when data is being transferred via bluetooth.
- Steganography is used to transfer important data, such as bank information, customer information, and personal information to another party.
- Due to the increase in the number of cyber attacks, data science companies look for ethical hackers to secure their data from the black hat hackers who are involved with illegal activities.
- Ethical Hackers are professionals who are granted access to the network by the authorities and then report vulnerabilities in the data set and systems.
- As Data scientists work on data models and deal with a huge amount of data everyday, they need certified ethical hackers who can look from a hacker’s perspective and look for potential cyber attacks that can happen to their system in future.
- Apart from prediction, they also work on ways to secure the data.
Top 10 Universities for Data Science
- University of Delhi
- IIT Mumbai
- IIT Kanpur
- IIT Madras
- IIT Delhi
- IIT Kharagpur
- IIM Ahmadabad
- IIM Bangalore
- IIM Kolkata
- Narsee Monjee Institute of Management and Higher Studies
- Savitribai Phule Pune University
- Amity University.
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