What is Data Science?
Data Science is a field of study concerned with the gathering, analyzing, and processing of various data or information in order to derive solutions. It deals with deciphering a variety of structured and unstructured data using specialized knowledge in order to obtain the necessary insights. These activities can only be carried out by professionals with specialized knowledge in the field of Data Science.
Data science is a broad term that encompasses a variety of scientific activities such as mathematics, calculus, graphs, charts, algorithms, computer programs, and more. It is a branch of science that necessitates a working knowledge of business or commerce.
Professionals can use data science to extract very important pieces of information, insights, and other solutions that would otherwise be impossible to find in large amounts of raw data. Professionals with specialized knowledge in this field are needed by big businesses all over the world to provide valuable insights, decisions, or solutions from their big bulk data.
These insights are critical in making major business decisions and in implementing improvements in business operations. If you're thinking about pursuing a career in data science, this article will provide you with all of the information you'll need to make an informed decision.
In India, numerous colleges and universities offer specialised courses and degrees in this field. However, in order to pursue any course in the field of data science, students must have a strong background in mathematics, computer applications, and programming.
Because data science is a subset of science, students with a science background have a distinct advantage and greater opportunities in this field. Students can earn a Bachelor's degree in the relevant field before enrolling in specialised Master's programmes. It is one of the best options for science graduate students who want to pursue a Master's degree in Data Science after graduation.
Data Science's Scope in India and Abroad
Analytics and Data Science have risen to the top of every company's priority list around the world. Every business activity should be analyzed later by data science professionals in order to extract valuable information.
Companies in every industry, including finance, marketing, banking, and information technology, require professionals to manage, analyze, and provide valuable solutions. In the field of data science, a data scientist is one of the most important and in-demand jobs.
According to IBM, the job of a data scientist has been declared one of the trendiest jobs of the twenty-first century due to the salary structure and increased demand.
Data science has a lot of potential in India because of the country's growing economy and business sector.
There is also a high demand for data science professionals all over the world. As a data scientist can come from any background, it is one of the best options for students interested in pursuing a career in this field.
Data Science Careers
Students can take data science courses to learn how to deal with various types of data. Students have a lot of career options in this field, which means they have a lot of options.
Students can work in a variety of fields after completing these courses, including research laboratories, colleges, universities, government offices, multinational corporations, market research firms, technology firms, consultancies, and the energy sector.
Future trends
Data science professionals are in high demand all over the world, and job opportunities in this field are expected to grow by 35 to 40% in the next few years.
Along with the opportunities, various trends and topics in the field of Data Science are expected to evolve in the coming years.
Data science will focus on new areas and topics in the coming years. The following are some of the upcoming Data Science trends and topics:
- Data Science Automation
- Data Security and Privacy
- Cloud-based, super-sized data science
- Processing of Natural Language
Top Data Science Recruiters
The following is a list of some of the top data science recruiters:
- Amazon
- Flipkart
- Cognizant
- Wipro
- IBM
- Infosys
- Deloitte
- Walmart
- Genpact
- Accenture
- Microsoft
- Reliance
Data Science Course Curriculum
Students are taught all of the necessary skills to deal with various types of data and statistical figures in data science. The curriculum is designed to provide students with in-depth knowledge of the various techniques, skills, methods, and tools needed to work with company data.
Courses in statistics, programming, algorithms, and other analytical topics are designed to provide specialized knowledge and training. Students are taught the skills necessary to extract required solutions and assist in the making of major decisions.
Students are well prepared to be hired by top companies and to work effectively with various data science job profiles.
Syllabus List
- Applied Data Analytics
- Data Management and Data Warehousing
- Deep Learning and Text Mining
- Design and Analysis of Experiments
- Distributed Algorithms and Optimisation
- Linear Algebra and Matrix Analysis
- Linear Regression Models
- Longitudinal Data Modelling
- Multivariate Methods for Machine Learning
- Non-Parametric and Categorical Data Analysis
- Probability and Probability Distributions
- Programming for Analytics
- Programming with Hadoop and Spark
- Programming with R and Python
- Simulation and Monte Carlo Techniques
- Social Network Analysis
- Statistical Inference
- Stochastic Processes & Bayesian Methods
- Time Series and Forecasting
