What Is Data Science?
Data science is the technology that keeps you engaged on social media sites. Airlines use it to predict weather patterns, analyze the data collected by sensors from aircraft and rockets and improve the safety of flights.
Understanding the value of data http://virtualdatanow.net/why-virtual-board-meetings-are-better-than-the-real-thing/ is the first step in becoming a data scientist. Having a solid foundation in programming (Python and R are the most popular) and statistics and machine learning algorithms and data visualization is critical for solving real-world issues.
Data Preparation
The other key capability is to prepare raw data for analysis. This includes things like handling missing data and normalizing features. This also includes encoding categorical variables and splitting data in test and training sets to evaluate models. This ensures that the data is of high quality that is ready for analytical processing.
Next, data scientists use various statistical methods to find patterns, trends, and insights. These include descriptive analytics, as well as diagnostic analytics, prescriptive analytics, and predictive analytics. Descriptive analytics summarizes a dataset in an attractive and easily comprehendable format, such as mean, median mode, standard deviation and variance. This aids users in making informed decisions from their research. Diagnostic analytics leverages historical data to predict the future. This is used by credit card companies to forecast the risk of default. Predictive analytics utilizes patterns to predict future trends such as sales and stock prices.
