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Boost your Career level with our B.sc in Data Science Training | learn how to use scientific techniques to extract insights from data | Gain mastery over domains of Artificial Intelligence, Business Analytics, and Computer Science | Understand sense of how techniques and analysis tools of big data are applied in different sectors | Get equipped with practical knowledge of statistical tools and develop a methodology of both theoretical and practical applications.
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B.Sc in Data Science oriented towards developing excellent and powerful leadership for the data driven-world. This program focuses on training students with the skills and knowledge to maneuver through the world of data and become competent world leaders. Through this program, you will learn to work with data to extract meaningful insights and make data-driven decisions. As it is an industry-oriented program, the B.Sc in Data Science, provides an extensive curriculum including statistics, programming, machine learning, data visualization, and database management.
The course comprises study of domains of Artificial Intelligence, Business Analytics, and Computer Science.
The major subjects that are usually included under this degree program:
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Data Management
Python Programming
R Programming
SQL
AI
Machine Learning
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Students must have completed Class 12 with Science stream. The subjects should be Physics, Chemistry and Mathematics. If a student has studied Computer Science as an additional subject, then it will be treated as an advantage. Students must be above 17 years of age at the time of admission.
Individuals study toward a BSc in Data Science for a variety of reasons. Usually students in this field have good analysis and problem-solving skills, and seek to improve these valuable attributes further. It also opens the possibility of pursuing additional education opportunities in an advanced degree.
A private higher education institution, Collège de Paris is accredited and associated with renowned organisations like Campus France and International Association of Language Centers.
Data science is a difficult field. There are many reasons for this, but the most important one is that it requires a broad set of skills and knowledge. The core elements of data science are math, statistics, and computer science.
Yes, you can join data science after the 12th. Students from a science background (preferably engineering/maths/technology) can apply to any data science course at the graduation, certification, or diploma level.
There are many areas of recruitment available for the B.Sc Data Science graduates. They can work in both the public and private sectors. Additionally, they can find jobs for themselves in India and abroad.
Data science careers require mathematical study because machine learning algorithms, and performing analyses and discovering insights from data require math. While math will not be the only requirement for your educational and career path in data science, but it's often one of the most important
B.Sc. Hons. (Data Science) is a 3 year full-time course that comes under the domains of Computer Science, Business Analytics and Artificial Intelligence.
Students should have a degree in one of the fields in science, technology, engineering, and mathematics (STEM background). So a data scientist eligibility in India is anyone who is from a STEM background, as it is one of the minimum requirements for data scientist that any newcomer should possess.
B.S. in Computer Science: This degree is a natural fit for a career in data science with its emphasis on programming languages. Earning this degree gives you a strong technical foundation and familiarity with today's industry-standard tools.
Data science is a field that blends statistics, computer science, and domain knowledge. It is used to extract insights from data using techniques like Machine Learning and Artificial Intelligence
Is data science a good career? Data science is a fantastic career with a tonne of potential for future growth. Already, there is a lot of demand, competitive pay, and several benefits. Companies are actively looking for data scientists that can glean valuable information from massive amounts of data.
Yes, data science needs coding because it uses languages like Python and R to create machine-learning models and deal with large datasets.
Data science is undoubtedly a safe career to work in. However, it still imposes some risks in the future, leaving aspiring data scientists worried about whether or not to pursue it. The risk of pursuing data science as a career is the development of easy-to-use tools.
#C/C++ Considered two of the most optimized languages, being familiar with C and its close relative C++ can be very useful when it comes to addressing computationally intensive data science tasks.
The tools involved in Data Science are a lot more than the ones used in AI. This is because Data Science involves multiple steps for analyzing data and generating insights from it. Data Science is about finding hidden patterns in the data.
The demand for both data scientists and data analysis will increase by over 1000% over the next few years; it's time for you to make your move. Whether you want to become a data analyst or make the big leap to data scientist, learning and mastering Python is an absolute must!
Traditionally, data science roles do require coding skills, and most experienced data scientists working today still code. However, the data science landscape continues to change, and technologies now exist that allow people to complete entire data projects without typing code
DS is mostly used in the Healthcare Industry. There are fast and effective treatments for almost all diseases. However, there are areas of healthcare where Data Science is helping in efficient diagnosis, data management, medical research, etc. through data analysis and visualization.
Python
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