HISTORY OF DATA SCIENCE
With the great increase of data in this generation, data science has become one of the most accepted disciplines of competence. There is an ample source of information on websites on the internet. But by reviewing this article, you will get a different view about the practice of data science and its applications.
It all started with statistics with a view to use data in a better way. Then operations research began to be used in which algorithms were introduced in order to deal with the problems and find the solutions for them. Then began the age of computers and digitization. Statistics and all the records became computerized which created the way for artificial intelligence and data analysis to be developed. The current era of data analysis, which also contributed to the development of the internet, is the golden age of such science.
CHALLENGES IN DATA SCIENCE
By this point of time, analysis seem universal and globally successful. But, there are certain difficulties as well which need to be overcome in order to improve them. Certain challenges in the field of data science are data quality, data quantity, the demand for reliable software, lack of funds, company rules/politics and privacy concerns. The most typical learning challenges are dirty data, the deficiency of talents around the globe and the dearth of management support.
HOW TO BECOME A DATA SCIENTIST
Big Data, Data Sciences, and Data Analytics are the hot topics everywhere. Professionals in data science are in short supply just as businesses in all sectors are realizing how much valuable information is contained in their customer data.
There are many degree programs offered by universities worldwide with degrees in this field. Then there are many good summer programs for this course, internships and many other organizations that commit to making people into data scientists in a shorter span of time. But if you want to follow a shorter path toward becoming a data scientist and are willing to work hard on your own, you can follow these steps.
Understand what data is and what the data scientist is, follow articles related to topics in data science, watch videos, master your statistics skills and problem-solving ability, try to compete in various competitions related to data and, most importantly, maintain your patience and hard work.
After doing this, you can try for various certification courses at the institutes of your choice which will help you to shape your knowledge in a different and better way.
IMPORTANCE OF DATA SCIENCE
It makes life easy and helps to manage everything at your fingertips. It powers the business value by allowing for better business decisions. Nowadays, many companies have openings for a data scientist which increases the demand for data professionals who has adequate knowledge of how to deal with the massive amount of stored information on customers. It is creating job opportunities for interested individuals.
It can deliver a remarkable track to value for businesses. By delving into these huge sets of customer data, trends can be identified, conclusions can be drawn and product performance evaluated. This leads to better business decisions being made and can help make organizations well organized and competitive.