Data Science

Data Science

Training Mode Duration Brochure
Classroom | Online 6 Months Download

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex to build predictive models.

The data used for analysis can come from many different sources and presented in various formats.

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex to build predictive models.

The data used for analysis can come from many different sources and presented in various formats.

In today’s era of “big data”, data science has critical applications across most industries. This gives students with data science backgrounds a wide range of career opportunities, from general to highly specific. Some companies may hire data scientists to work on the entire data life cycle, while larger organizations may employ an entire team of data scientists with more specialized positions such as data engineers to build data infrastructure or  business intelligence analysts, decision scientists to interpret and use this data.

Some tech companies may employ much more specialized data scientists. For example, companies building internet of things (IoT) devices using speech recognition need natural language processing engineers. Public health organizations may need disease mappers to build predictive epidemiological models to forecast the spread of infectious diseases. And firms developing artificial intelligence (AI) applications will likely rely on machine learning engineers.

 

Course Highlight

Data Science                      Duration                
DIPLOMA                            6Months
IN DATA 
SCIENCE                                       

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
People who are starting to learn data science should have a basic understanding of statistics and coding. There’s no prior experience necessary to begin, but learners should have strong computer skills and an interest in gathering, interpreting, and presenting data.

Analytical thinkers who enjoy coding and working with data are prime candidates for learning data science. Data scientists spend most of their time working on a computer, so it’s important for learners to be comfortable learning various coding languages. People interested in machine learning, deep learning, and AI are also well suited for learning data science. Data scientists need to have strong communication skills and be comfortable working against a deadline. Teams of data scientists often work on one project, so people best suited to learning data science need to work well with colleagues and have superior organizational skills.

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