Data Science Tools
Data Science tools are used for programming, understanding statistics, and computer science to automate commonly used analysis. Get to know more about the tools used in Data Science, how to use them, their benefits, and more!
Introduction Data plays a significant role in the field of data science. Raw data is put into enormous experiments to generate meaningful insights that drive many business goals. Understanding different data types in statistics will take you one step closer to picking the data type that matches your business requirements.
If you have been looking for a business intelligence tool for your analytical efforts then you must have stumbled across Tableau. Introduction Tableau is a trending and market-leading BI tool used to visualize and analyze your data in an easily digestible format. It allows you to work on a live
What is Hadoop? Apache Hadoop is an open-source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in
Data Science is the art of drawing useful insights from data. To be more specific, it is the process of collecting, analyzing, and modeling data to solve real-world problems. With the availability of various Data Science tools in the market, implementing it has become easier and more scalable. In this
A Data Scientist performs analysis by identifying relevant questions, collecting data from relevant sources, data organization, transforming data into a solution, and communicating the findings for better business decisions. Apart from having appropriate qualifications and education, an aspiring data scientist must be skilled at a certain set of tools. Data
Data is of no use if you can’t turn it into insights if you can’t analyze it if you can’t explore or share it. Jupyter, an acronym meaning Julia, Python, and R is an open-source web application or tool which allows you to explore share, and discuss
In the era of intense computerization, and the paradigm shift in prioritization of business to move ‘virtually everything’ on technology; mere concepts of automation & operational efficiencies do not suffice. Artificial intelligence (or automation) is a trending topic of interest amongst veteran technology experts and astute business minds. The focus is