Data science: the balance between the world of business and the world of data
A DATA SCIENTIST, often referred to as a big data organizer, who has the skill set and knowledge base of a mathematician or statistician to perform interdisciplinary activities such as predictive analytics, visualization, and presentation.
THE DEMAND FOR DATA SCIENTISTS has gained a high rate of growth in the popularity of jobs associated with the field of data science. Entering the field of data science will not develop the ability to understand data well. Proper understanding of data requires effective analysis and understanding of business problems and you need to possess problem-solving skills.
The job of a data scientist varies depending on the requirements of industries and companies, such as work experience, skill sets, etc. and therefore, the salary packages also vary with the job profiles of the applicants.
The hype and benefits involved in the field of data science have made this field promising and successful for candidates pursuing data science courses.
THE SKILLS REQUIRED FOR THE ROLE AS DATA SCIENTIST
The person who possesses the necessary skills and knowledge base can easily pursue their career in the field of data science:
a) Analytical skills
b) Mathematical or statistical skills
c) Programming skills
d) Machine learning skills
e) Good communication skills.
f) Visualization and presentation skills.
The ever-growing field of data science is sought after by many multinational companies today has earned it the title of the most desired job of the 21st century.
The number of qualified and competent professionals available is less than the demand for data scientists. The space created needs to be filled and the same can be done as the current generation begins to pursue their career in the field of data science.
WHAT DO DATA SCIENTISTS DO?
Data professionals with the right skill sets and knowledge help uncover the hidden solutions to complex business problems. This can be done by analyzing the data sets using math and science skills at the same time.
The role of a data scientist is challenging as it is a vast and busy field. It involves extracting valuable insights from raw data and turning insights into useful information. This requires the application of tools and methodologies associated with the analysis and interpretation of data.
The useful information extracted further helps the organization to improve productivity and profitability. At the same time, it serves as a means to identify market opportunities that can serve as a means to obtain additional income and also emerging threats that can serve as barriers to the growth and development of the organization.
The role of a data scientist is broad as it is not limited to a particular area or field. It covers the activities that a statistician or a computer scientist can carry out. Therefore, it is very fruitful to develop a career in the field of data science.