Data Science and Its Applications
Data Science is the field that deals with massive datasets using statistics, scientific methods, artificial intelligence (AI), and data analysis to extract meaningful insights and hidden patterns from it. The data can be of any format and can be structured or unstructured. It is a subset of Artificial Intelligence and uses complex Machine Learning (ML) algorithms for building predictive models. Data Science training will help you master skills such as data visualization, data manipulation, various algorithms, predictive modeling, web scraping, etc.
Where is Data Science used?
● Fraud and risk detection: This is one of the most common applications of this innovative domain. Banking and finance industries utilize this science to detect fraudulent and suspicious activities that might put them in danger and to mitigate risk factors in transactions.
● Healthcare: The healthcare sector uses Data Science in various scenarios like medical image analysis, genetics, and genomics, drug development, virtual assistance for patients, etc.
● Target advertising: Companies use this technology to analyze user behavior by gauging the history by applying Machine Learning algorithms. The analysis result is used to target advertisements and banners to them while browsing the internet.
● Internet search: Search engines such as Google, Yahoo, and Bing, make use of efficient and complex algorithms to deliver the best and most relevant results in minimum time.
● Website recommendations: Website recommendations are another application of Data Science used most popularly by e-commerce websites. For instance, if you search for a particular product on an e-commerce website, you will find suggestions for similar products soon. This not only is helpful in browsing but also enhances user experience manifold times.
● Speech and image recognition: Data Science is used to make auto-tagging suggestions on social networking websites. This is done using face recognition algorithms. Speech recognition is another useful application of Data Science that uses tools to make life easier for people by getting tasks done by just speaking to a device. Instead of typing, users just need to speak out messages that will be converted to text. Google Voice, Siri, Cortana, etc., are some of the commonly used speech recognition tools.
Enrolling in the Best Data Science training course will help strengthen your knowledge base. It is a lucrative job profile and is predicted to rise in demand in the coming years. Many big enterprises like Accenture, Google, Apple, Paypal, Twitter, etc., have incorporated this science into their workflow and require Data Science certified professionals.
A few positions programmers can apply to after getting certified are Business Intelligence Analyst, Data Mining Engineer, Data Architect, Data Scientist, and Senior Data Scientist.
Some of the technical prerequisites for becoming a Data Science professional are:
● Knowledge of Machine Learning algorithms
● Awareness of mathematical models
● Familiarity with statistics
● Knowledge of programming languages
● Database knowledge
So, do you want to become an expert Data Science programmer? Register at SynergisticIT, the best online coding Bootcamp in California. Create a strong portfolio demonstrating your skills in Data Science to explore the multitudinous options and for a remarkable breakthrough in your career.
Also, Read This Video: 5 Reasons You Should Enroll in Data Science Bootcamps
