Data Science is a multi-disciplinary field that converts the data (various format) acquired from various sources into a common structure and focuses to achieve suitable insights from large amounts of data.
Big Data refers to a very large amount of data that cannot be effectively processed by existing traditional applications. The processing of Big Data starts with the collection of raw data that is impossible to store in the memory of a single computer.
Most of the data you process as a standard is structured and small; It is possible to analyze with simple BI tools. However, nowadays, most of the data is in unstructured or semi-structured form.
Helping domestic companies to develop supplier networks throughout the globe, preparing market evaluation reports on various products in specific markets and preparing technical feasibility reports.
Demand in the areas of Machine Learning, Data Science and Data Analytics is increasing rapidly. Nowadays, it is crucial for companies to make right business decisions quickly and efficiently by acquiring meaningful results from big data.
What is data science: Data science is a concept used to handle big data; it includes data cleaning, preparation and analysis. A data scientist has strong knowledge and experience about machine learning, understanding multiple analytic functions, SQL database coding, Python, SAS, R, Scala.
What is Machine Learning: Machine Learning can be defined as the application of using algorithms to learn the relevant subject from the data and then it predicts future trends related to this subject. The Artificial Learning specialist is familiar with basic computer systems, data modeling and evaluation, probability and statistics, and deep programming knowledge and skills.
People have been trying to define data science for a long time; I think the best way to answer and visualize this question is to use the Venn diagram. The Venn scheme, created by Hugh Conway in 2010, consists of three main frameworks: Knowledge of mathematics and statistics, substantive expertise and hacking skills. If you have full knowledge of all three, you already have enough knowledge in the field of data science.
Data science is a concept used to handle big data; it includes data cleaning, preparation and analysis. Data scientists find critical information from the datasets acquired from various sources by using predictive analysis and analysis techniques. They understand the data in accordance with business perspective and provide accurate predictions that can be used to strengthen critical business decisions.
Anyone who wants to build a strong career in this field must have skills in these three areas: Analytical, programming and substantive expertise. Those who want to go one level further must have strong knowledge of Python, SAS, R, Scala, SQL database coding experience, the ability to work with unstructured data from a variety of sources, such as video and social media, understanding multiple analytic functions, and machine learning.
