DATA SCIENCE
Why Data Science ?
Data science is a complex blend of several disciplines including technology, algorithm development, and data interference. It is the study of where information comes from, what it represents and how it can be turned into a valuable resource in the creation of business The basic goal of data science is to solve analytically multiplex problems. As the name suggests, data is at the core of this specific type of science. In its essence data science is all about using different systems and processes, related to the disciplines we’ve mentioned before, in order to extract information, insights or knowledge from data available in different forms. Sometimes this data is unstructured and sometimes it is wellstructured. Mining large amounts of structured and unstructured data to identify patterns can help an organization rein in costs, increase efficiencies, recognize new market opportunities and increase the organization’s competitive advantage.
Data science and machine learning are transforming entire industries and becoming an essential part of everyday life. The data revolution has led to a spike in the demand for data scientists and machine learning practitioners that shows no signs of slowing down.
The Training in Data Science can help you meet this demand and accelerate your career in data science. The Training program from Spectrum Softtech Solutions will provide you with a deep knowledge of data science and machine learning concepts you can immediately put to work to solve data problems in your organization.
Applications:
- Internet Search
- Digital Advertisements (Targeted Advertising and retargeting)
- Recommender Systems
- Image Recognition
- Speech Recognition
- Gaming
- Price Comparison Websites
- Airline Route Planning
- Fraud and Risk Detection
Data scientists
As the amount of data generated by the typical modern business increases, so does the prominence of data scientists hired by organizations to help them turn raw data into valuable business information. Data extraction is the act of retrieving specific data from unstructured or poorly structured data sources for further processing and investigation. Data scientists must possess a combination of analytic, machine learning, data mining and statistical skills, as well as experience with algorithms and coding. Most data scientists in the industry have advanced and training in statistics, math, and computer science Along with managing and interpreting large amounts of data, many data scientists are also tasked with creating data visualization models that help illustrate the business value of digital information.
