Data science and business today
When you visit sites like Amazon and Netflix, they remember what you are looking for, and the next time you visit these sites again, you will receive suggestions related to your previous searches. The technique through which companies can do this is called Data Science.
Industries have just realized the immense possibilities behind data, and they are collecting a wealth of data and exploring it to understand how they can improve their products and services to get happier customers. The reason Data Science is succeeding in its search is that we are increasingly interacting with the Internet. Websites are no longer just bulletin boards, but a place where we interact and leave footprints.
Data Science Impacts
- Improved search results: Just type in a few characters and search engines almost always predict the most accurate results. This is possible because millions of people have searched for related texts before and search engines have stored them all in their databases.
- Accurate advertising: You may have noticed that most of the advertisements you see on the internet are directly related to you. If you are a girl, you probably will not see ads for retirement plans, unlike traditional television commercials. Businesses have a wealth of data on who their potential customers may be and they target only favorable groups.
- Recommend Products: Amazon and Netflix are using your stored data to send accurate recommendations and offers to the people who like to shop the most. Facebook, YouTube, and Quora are also using Data Science to bring you the best related content.
How do industries view data science?
The best way to retain more and more customers is to know what exactly they want. With the help of data science, industries have now moved to the data-driven approach rather than the knowledge-based approach, and are experiencing unprecedented results. Here are some of the industries that are benefiting from data science:
- Information technology: As we said, from accurate search results to speech recognition to perfect recommendations, it has become the leading player in information technology.
- Aviation and Logistics: There are so many factors that control flight times and schedules, and with the help of data science, aviation companies can easily determine the best time and route by which their flights can fly.
- Medical science: The study of Genomics and Neuroscience requires that a large amount of data be stored and processed, and it also requires that a large number of laboratories and hospitals work together and use each other’s studies. It handles all these tasks very well.
- Banking: You are helping banks provide better service and detect fraud and unpleasant economic conditions early.
How can you become a data scientist?
The study of Data requires a deep interest in Statistics, Informatics and Business. Data scientists must be flexible in coming up with solutions to problems.
The online training will guide you through the best data collection tools such as Hadoop and SQL. You will learn all facets of machine learning and deep learning, and tools like Python, SAS, etc. For data visualization, you will get intensive practice of Tableau, R, and other important tools.
The instructors guiding you on this journey have extensive experience in the data industry. You will have the opportunity to work on more than 60 projects and a final project, ensuring that you have more knowledge as well. Upon completion of the course, our dedicated placement cell will also help you land your dream job.
