The Role of Data Science in Everyday Life

 The Role of Data Science in Everyday Life

Data Science concepts like analytics, statistics, and databases help people to move professionally with their daily life. The usage of apps increasing every day for the benefit of both customers and sellers as it brings profit-maximizing solutions along with avoidance of privacy and data leaks issues. The most popular sectors like healthcare, logistics, face recognition, self-driving cars, and gaming industries are useful for both users and providers with the data science process.

We have given here the 10 most useful applications of data science that simplify the life of common people as well as technologists and scientists.

  1. Internet Search

The most popular search engines such as Google, Yahoo, ASK, AOL, Bing, and Duckdcukgo is implementing data science algorithms to provide best results for user’s searched query. It simplifies the search of users by giving them the most related answers quickly and accurately.

  1. Digital Advertisements

The entire digital marketing platform makes use of data science and machine learning from displaying banners to digital billboards and it is decided with data science algorithms. It is more related to user behavior and targets them with ads through big data analytics.

  1. Image Recognition

If you post your image on Facebook, it will suggest tagging your friends and these automatic tag suggestions are the result of the face recognition algorithm of data science. The Google Lens is the popularly used application that provides the user to search the result as per the image they upload.

  1. Speech Recognition

Google Voice, Alexa, Siri, and Cortana are the best examples of the speech recognition process of data science, and using this feature the user can search through their voices instead of typing the query. The voice will be converted to text and it will show results from providers.

  1. Gaming Platform

Data Science provides a wonderful experience through machine learning algorithms with improved features that take the player to higher levels efficiently. If the user plays with the computer, it records and analyzes according to the previous moves and shapes the game to play intelligently.

  1. Airline Route Planning

The airline industry implements data science to identify the strategic areas for improvements as well as avoid losses and struggles to maintain the operational profits and occupancy ratio. It helps the users to predict flight delays, decide airplane buying, directing the destination, unexpected halt requirements, and conduct customer loyalty programs effectively. Alaska, the popular Airline Company embraced the data science process completely to bring changes in their way of working.

  1. Risk and Fraud Detection

Data Science is originated from the finance concept and it was implemented in companies to collect initial paper works for KYC verification to sanction loans. It helps the banking companies to divide and conquer data through past expenditures, essential variables, purchasing power, and customer profiling.

  1. Entertainment

Netflix, Spotify, and Prime Music are the platforms that utilize data science concepts for suggesting music and video as per the previous customer preferences and behavior patterns. It customizes the playlist every week or daily and simplifies the search effort of users in everyday life.

  1. Online Shopping

Popular e-commerce sites like Amazon and Flipkart utilize data science algorithms and concepts for suggesting similar useful products and enhance the user experience while they are shopping. It sends the popup notifications of their searched products that are available of offers and quantity.

  1. Healthcare

We have realized how the healthcare industry is crucial for everybody’s life in this Covid-19 pandemic. Data science technologies bring a wide range of innovative approaches that take healthcare providers to a higher level. It connects people to healthcare products and advisors through the internet and it utilizes data science concepts for fetching patient records easily. The Data Science concept makes healthcare a centralized platform where patients, doctors, and hospitals access and maintain health-related practices for appropriate and immediate treatments.

Conclusion

The role of data science in real life is boundless and the proper utilization makes everyone grow with abilities. It plays an important role for every human being in various ways and it creates positive and exponential transformation in the lives of common people. The Data Science field will be enhanced in the future and become a part of human life through self-driving cars, robots, augmented reality, virtual reality, and many more. The more you learn the more you thrive in the data science field. Learn the all-inclusive data science training in Chennai at SLA to become the innovator of the future.

Comments

Post a Comment

Popular posts from this blog

What is Selenium and why it is used?

Image
Selenium is popularly used for automating application testing and administrating web-based tasks. This is a portable framework that provides a playback tool for performing functional tasks without considering scripting language knowledge. Selenium supports all famous web browsers like Chrome, IE, Mozilla, and Safari for automating the software and testing web-based applications. Test Engineers can able to write test cases in their familiar programming languages like Java, C#, Scala, Python, PHP, Ruby, and Perl as it provides domain-specific testing features through Selenese. Selenium is initially created for ThoughtWorks by Jason Huggins and offered as an open-source tool in 2004 for public use. It was merged with the WebDriver tool in 2009 and became Selenium WebDriver as version 2.0. Then they launch Selenium Grid, an improved version redesigned by Philippe Hanrigou. It offers a hub that allows the executing of numerous Selenium tests at same time on both remote and local systems tha...
Read more

Difference between CCNA and CCNP

  The main difference between CCNA and CCNP is the certification level; CCNA is the associate-level certification that validates professionals on the foundation skills of routers and switches. CCNP is an advanced and professional level certification to validate the in-depth skills on WAN and LAN. It differs in learning curve, prerequisites, exam type, difficulty level, and career scope. These two certifications help the students to get specialized in implementing, maintaining, and planning high-end network products and solutions. It brings a wide range of opportunities for freshers and working professionals with a promising future through continuous learning and updates. Learning Curve of CCNA and CCNP CCNA has an easy learning curve that requires only studying switching and routing fundamentals along with practical implementations. It may take 3 months to learn them and prepare for Cisco examinations. It covers networking fundamentals, LAN switching technologies, routing technolog...
Read more

Top 10 Networking Courses worth learning in 2021

Networking is one of the most valuable fields in IT that gives a promising future. Gain certification in networking courses validate your networking skills and help you to showcase your expertise to employers. It strengthens your resume and makes you stand out of the queue with unique skills as per the expectation of global companies. We have formulated the in-demand networking courses and provide comprehensive training through hands-on exposure to establish, maintain, and operate the network for the companies along with troubleshooting practices. Following are the top 10 Networking courses that bring a futuristic career for passionate candidates around the world. CCNA 200 – 301 Cisco Certified Network Associate (200 – 301 CCNA) is one of the high-valued certifications that provide assured placement in small to large scale enterprises. It is used to manage the controller-based architecture of a company for implementing trending technological advancements. This certification helps the l...
Read more