Data Analysis has been getting a lot of attention nowadays, as Thomas Davenport and D.J. Patil wrote in the article titled 'Data Scientist: The sexiest job of the 21st Century' in the year 2012. As the companies are getting bigger and better, Data Analysis is taking a more prominent role in all sizes of companies., including small, medium and giant businesses. Over time, the practice of Data Analysis gradually developed, taking a lot of benefits from the evolution of computing.
Since the need for Data Analysis experts will only increase in the near future, it's a good decision to make a career in the Data Analysis field. So If you are searching for Online Courses on Data Analytics in India, you can check out the courses by Teksands. The fastest-growing start-up in the ed-tech industry, Teksands also offers Python Online Training in India and Online Courses on Data Science in India. The courses are designed to meet the needs of the learners by imparting them quality-driven and application-driven training.
History of Data Analytics
The history of Data Analysis is deep-rooted in statistics, and that has a long history. If you look from the beginning, it is likely that statistics began in ancient Egypt while building pyramids as the process needed periodic census. Looking at history, you will understand that statistics has always played a very important role for all governments globally, especially for the creation of the census. Statistics are also used by governments for other governmental planning activities and, of course, taxation. Statistics mainly deals with the process of collecting and organizing data; the next step is to analyze that collected data. Data Analysis involves retrieving data from multiple sources and then analyzing it with the aim of discovering valuable and actionable insights. For example: If Data Analysis is done on the population growth of each district in a state, then the government can determine the number of hospitals required in each district.
The Connection Between Data Analysis and Computing
The subsequent advances in computing
technology enhanced the possibilities of Data Analysis. In 1980, Herman
Hollerith invented Tabulating Machine, which systematically processed data that
were recorded on punch cards. The next turning point was the invention of RDB
(relational database), which allowed the writing of sequel (SQL) so that one
can retrieve data from a database. The main advantage of RDB and SQL for users
is that they can analyze their data on demand. The combination of cheaper data
collection with fast data storage and retrieval technology changed the
possibilities of what we can do with data. From the late 1980s, the amount of
data continued to increase, and so is the range of Data Analysis. The birth of
the concept of Data Analysis was only natural given the advent of technology
like data warehouses and databases. Today, from big companies to small
companies, everyone needs a Data Analysis expert to take out valuable
information that can benefit the company's growth.
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related article:- A Short History of Data Science
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