Data science is the process of organising, processing, and analysing a large and diverse amount of data to get information and insights from it. It incorporates a variety of disciplines, including mathematical and statistical modelling, data extraction from its source, and the use of data visualisation methods. Dealing with big data technology to collect both structured and unstructured data is frequently part of the process. We'll see some real-world examples of how data science is put to use below. For computer science grads and software professionals who want to learn data science in small, manageable chunks using Python as a programming language, the Applied Data Science with Python Certification course is ideal.
E-commerce systems are able to track customers' buying preferences as well as the performance of various products on the market as online shopping becomes more commonplace. This results in the development of recommendation systems that build models to forecast the needs of the customer and display the goods they are most likely to purchase.
Financial Risk management
The customer's historical spending patterns, past defaults, other financial commitments, and many socioeconomic factors are better used to estimate the financial risk involved with loans and credits. This information is compiled from many sources in a variety of formats. Data science is required in order to group them together and gain insight into client profiles. By avoiding bad debt, the financial organization's loss is minimised.
Improvement in Health Care services
The health care sector works with many types of data, including technological data, financial data, patient and prescription information, and regulatory regulations. To provide insights that will reduce costs for both the healthcare provider and the patient while being legally compliant, all of this data must be reviewed in concert.
Processing massive quantities of picture data from several objects belonging to the same category is necessary for advancing computer vision technology. Take face recognition as an example. Algorithms are developed to apply the model to more recent photos in order to produce satisfying results when these data sets are modelled. Numerous techniques employed in data science are required for the processing of these enormous data sets and the development of models.
Efficient Management of Energy
The energy-producing enterprises must better coordinate the various stages of energy production and delivery as demand for energy consumption rises. pThis entails examining the consumption habits of the target audience and optimising the production processes, storage systems, and distribution systems.
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IgmGuru’s Data Science with Python certification course has been designed after consulting some of the best in the industry and also the faculty who are teaching at some of the best universities. The reason we have done this is because we wanted to embed the topics and techniques which are practiced and are in demand in the industry – conduct them with the help of pedagogy which is followed across universities – kind of applied data science with python. In doing so, we make our learners more industry/job-ready. IgmGuru’s Data Science with Python online training course is the gateway towards your Data Science career.
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For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.
“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.
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Data science arrived on the scene of the technological sector and the IT industry with an unforeseen and unprecedented rush and quickly made a big space for itself. In a few short decades it has taken over the computer science and technological industry completely.
This meteoric rise in popularity has led many people to start asking the question – “Is a data science certificate worth it?” The short and simple answer to this question is that yes, a data science certification is definitely worth it.
In this article we will go into detail about the reasons why this is so. We will also attempt to give some relevant information about the data science certification, namely the PGP in data science course.
1. One will be able to build a basic foundation of knowledge -
A very important point which a learner of data science should realize in the beginning itself is that data science is a very vast field. It is formed out of the intersection of many different fields such as mathematics, statistics, computer science, information science, IT etc. So it contains a large number of concepts and topics which are difficult to impossible to master in the beginning.
The disadvantage of trying to learn data science from a 4 year university or college program is that the learner will be taught a lot of cruft; that is, he will be taught a lot of concepts and topics which he will never actually need to use in the real world. But a data science certification course will teach him the bare minimum essentials of data science which will be relevant for his career in data science.
2. One will be able to associate with instructors possessing personal experience -
Very often it turns out to be the case that the instructors teaching the learners are academicians and PhD scientists. Over their years of study and research in the field of data science they have amassed a lot of academic knowledge about it, which they are more than willing to impart to the learners.
But they lack the practical experience which only comes from working in the industry and it shows in the lack of real-world examples and case studies in their presentations. But in a data science training course, the learners are taught by professionals with decades of experience from working in the field.
3. One will be able to make use of the latest technology stacks -
In any decent PGP in data science course the course content or the course curriculum is updated frequently to keep pace with the changes in the field of data science – namely with the most recent developments and advances. Since the instructors have been professionals in the past, they are familiar with the latest technological trends in the field and update the content accordingly.
The situation is very different in university or college programs where the wizened old professors teach the same course content for years on end.
4. One will get personal care and attention from the instuctors -
In a university or college program there are typically thousands of students enrolled in the same course. So it is near to impossible for the instructors to provide personal care and attention to the students. But in a data science certification course the instructors arrange 1-on-1 meetings with the learners on a regular basis in which the learners can get all their doubts and quries cleared.
5. One can accrue practical and hands-on experience -
Any decent data science training course always contains assignments and practical projects. These provide a means for the learners to accrue hands-on and practical experience under the guidance of the seasoned and experienced instructors.
So, is a data science certification worth it?
From the above points it can be clearly seen that a data science certification is completely worth it. Not only are there numerous benefits to taking a data science training course, but the demand for skilled and competent data scientists is rising steadily as well.
So anyone who takes a course such as a PGP in data science course will have no difficulties in finding a job in any sector or industry of his choosing.
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