What is data science? A beginner's guide to data science
What is it?
Data science is the field of study that primarily focuses on understanding, processing, extracting, visualizing and communication of data for the purpose of uncovering useful insights for the organizations.
The five main stages in cycle of data science are:
Capturing of data:
This deals with the collection of data through various means and also entry of data for further analysis.
Maintenance of data:
This deals with cleansing and staging of data.
Processing of data:
This includes processes like mining, modeling and classification of data.
Analysis of data:
This deals with the analysis of prediction and qualitative analysis.
Communication of data:
This includes visualization and reporting of data which can be used for the purpose of making better future decisions.
Efficient data scientists serve the purpose of identification of relevant particular questions, collection of data from different sources, organizing information, translation of results to the desired solutions and communication of the results in a manner that can positively affect the business decisions. These particular set of skills are desirably required by almost all the industries, and this fact makes a skilled data scientist to be an extremely valuable asset to any company.
What do they do?
Over the years, data science has become a necessity and data scientists are omnipresent in all spheres of the working industries. These scientists are well-rounded, data-driven professionals and individuals who possess high technical skills with the capacity to build sophisticated quantitative algorithms for the purpose of organization and synthesis of the huge volume of information, used to serve as solutions to the problems and also make strategies for the benefit of the organization. Data scientists should be individuals who are curious and focused towards results, possessing exceptionally high knowledge of their respective industry and communication skills which can allow the explanation of results, which are highly technical in their nature to the other non-technical workforce. They should also have strong technical knowledge in the fields of study of statistics, algebra and programming for the building and analysis of data algorithms.
Why become a data scientist?
For consecutively three years, data scientists have been named as the best job in the United States of America by Glassdoor. As the world is constantly changing and developing, the amount of data is also increasing at an incredible rate to huge volumes and this has made data science a necessary part of majorly all industries, not just confined to large technological companies. The posts of data scientists have been ranked as the most promising jobs by LinkedIn in the year 2017 and 2018. Also, many data science related skills are shown as being the skills that have a high demand rate. The necessity for skilled data scientists foresee a promising future without showing any signs of slowing down in the coming years as the expected rate of growth in the field of data science has been calculated at a 28 percent increase by the year 2020.
Resource box:
Whether you aim for a full-time job or an advancement in your career or even work independently in this field, ExcelR’s data science course comes to your aid. They aim to create quality professionals in data science by providing certificate courses, helpful network of mentors and also placement assistance.
More Details-
Business Name- ExcelR- Data Science, Data Analytics, Business Analytics Course Training Mumbai
Opening Hours- Monday to Friday 7AM to 10 PM Saturday & Sunday 10 AM 9 PM
Address Link- https://g.page/ExcelRDataScienceMumbai?share