Our life and data science

When you shop or search for something on Amazon and Flipkart, the site remembers your preferences and gives you related suggestions the next time you visit the site. How can companies do that? The answer is: data science. Companies are storing our data and using it to understand how to improve their products according to our needs and also how to increase customer engagement with them. The reason why this system works so well is because today more and more people are connecting and leaving footprints on the Internet, which companies can use to make correct predictions.

Visible Examples of Data Science Uses

  • Search results: Search engines like Google predict what we want to search for before we can complete the word, and this is because they have millions of related search keywords already stored in their databases.
  • Digital Ads: Internet ads are not random, unlike traditional TV and newspaper ads. The companies collect separate data about each and every user and display only the relevant advertisements.
  • Recommendations: E-commerce sites like Amazon and online entertainment sites like Netflix use it to recommend new products and movies based on users’ past experiences.
  • Image and voice recognition: As artificial intelligence and machine learning improve, image and voice recognition tools become more advanced and accurate.

What industries are using data science?

Almost every industry is generating a lot of data and has moved from an insight-driven to a data-driven approach to solving problems and producing better results. Some notable industries are as follows:

  • Information technology: This is the most obvious industry, of which Data Science has become the backbone. From suggesting friends on Facebook to suggesting videos on YouTube, from recommending movies on Netflix to filtering products on Amazon, and from improving the user experience on Uber to providing real-time tracking on Dominos, data science is used in every aspect.
  • Aviation and Logistics: Airlines use it to predict weather conditions and potential delays and keep passengers informed accordingly, while logistics companies like FedEx can discover the best routes and modes of transportation to increase profitability.
  • Human Resources: With the help of data science, companies find it easy to predict employee burnout and discover ways to increase their productivity.
  • Medical science: In bioinformatics, data science, together with genome data, is helping researchers and clinicians analyze genetic structures and understand how certain drugs may act on diseases.
  • Astrophysics: Also in Space Sciences, it is being used to create large astronomical data sets.
  • Banks and finance: Helps banks provide better customer service, fraud detection, customer profiling, and forecasting economic conditions.

Data Science Scope

It has become the most exciting race of the current era. There are a large number of vacancies, the salaries are high, the prospects for career growth are promising, and the work is exciting. Organizations like Glassdoor and Harvard University have even named data science the best profession of the 21st century.

How can we help you become a data scientist?

Professionals who deal with data in industries are called data scientists and require expertise in the fields of statistics, computing, and business. That is why the online course is designed to give students a deep working knowledge of all the concepts and algorithms used in data science along with extensive practice of important tools like Hadoop, SAS, Excel, R, Tableau, minitab etc. and powerful programming. languages ​​like Python and SQL. Numerous webinars, assessments, and live projects have been designed to prepare students for industrial work in a real business environment.