DATA SCIENCE A Trending Forcasting Method for Business.

Every day we create 2,500,000,000,000,000,000 (2.5 Quintillion) bytes of data. Data has becomes the most abundant thing today. So data scientist is the ‚ÄúSexiest Job of the 21ūĚφūĚĎ° century ‚Äúand the concept to unify¬†statistics,¬†data analysis,¬†machine learning¬†and their related methods‚ÄĚ in order to ‚Äúunderstand and analyse actual phenomena‚ÄĚ with data. The Data Scientist are big data wranglers. They take an enormous mass of messy data points (unstructured and structured) and use their formidable skills in math, statistics and programming to clean, massage and organize them. They apply all their analytic powers like industry knowledge, contextual understanding, to uncover hidden solutions to business. So, analytics is defined as the scientific process of transforming data into insights for making better decisions. Analytics is a skill that involves technologies, statistics, data mining to gain business insights from data and statistics. This insight is used to perform good business planning.

Actually it includes seven modules such as understanding business problems that means understanding actual issues affected on their business after that we have collect the data for the further analysis that process is known as data acquisition. We have to prepare that data for the analysis then only we can able to catch the issues .After data analysis we will get the idea to do data modelling techniques solve the issues and to perform good business planning. Finally we get the solution through the data modelling techniques and we have to deploy that solution

There are three main programming languages are used Python, R, and Julia. Python programming language with simple syntax that is commonly used for data science. There are a number of python libraries that are used in data science including numpy, pandas, and scipy. R is a statistical programming language with visualization techniques. Julia is a high-level, high-performance, dynamic programming language well-suited for numerical analysis and computational science.

Four frameworks are included that are Tenser flow .It is a framework for creating machine learning models developed by Google and pytorch is another framework developed by Facebook.Jupyter notebook is an another interface for python it allows faster experimentation and we have another software framework apache hadoop used to process data over large distributed systems .

One of the major part is data visualization because it gives the visual representation of the data that is very useful to know and the tools are tableau, powerBI and plotly. Tableau is user friendly and variety software, PowerBI is a business analytics software developed by Microsoft and plotly provide scientific graphing libraries

There are lot of job opportunities in this filed as Data analyst, Data Engineer, Data consultant, Data Scientist, Machine learning Engineer and application architects. The opportunities of data science are increasing day by day because the growth of healthcare sector, cyber security sector and agricultural sector. Salary ranges are increasing per year also.As per the survey in 2019 there is shortage of data science skill set but now its increased and that much opportunities. In India almost 90,000 jobs are vacant .within a months we can easily catch up the training and  job