Data science is an essential part of any industry today, given the massive amounts of data that are produced. Data science is one of the most debated topics in industries these days. Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction.
Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. It’s used every day to help businesses drive efficiencies, glean deeper operational insights and ultimately generate more revenue.
Data science is being utilized not only as a business tool – but for the greater good of society.
Data analytics is a broad term that encompasses many diverse types of data analysis. Any type of information can be subjected to data analytics techniques to get insight that can be used to improve things. Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.
A data analyst should be able to take a specific question or topic, discuss what the data looks like, and represent that data to relevant stakeholders in the company. If you’re looking to step into the role of a data analyst, you must gain these four key skills:
Knowledge of mathematical statistics
Fluent understanding of R and Python
Understand PIG/ HIVE