What Is Data Science?

Data science is the magic that keeps you hooked on social media websites. Airlines use it to predict weather patterns, analyse the data collected by sensors from aircraft and rockets, and increase flight safety.

Understanding the significance of data is the first step to becoming a http://virtualdatanow.net/why-virtual-board-meetings-are-better-than-the-real-thing/ data scientist. Solving real-world problems requires an extensive knowledge of programming (Python or R are the most popular) Statistics machine-learning algorithms, visualization of data.

Data Preparation

The other key skill is being able to prepare raw data to be analysed. This includes tasks such as dealing with missing data, normalizing features, encoding categorical variables, and splitting datasets into test and training sets for model evaluation. This guarantees a high-quality dataset that is ready for analysis processing.

Data scientists then use various statistical techniques to identify patterns as well as trends and insights. These include descriptive analytics, diagnostic analytics predictive analytics and prescriptive analytics. Descriptive analytics summarizes a dataset in an attractive and easily accessible format, like median mode, mean, standard deviation and variance. This allows users to make informed decisions using their findings. Diagnostic analytics employs data from the past to predict what will happen in the near future. A credit card company utilizes this to predict customer default risk, for example. Predictive analytics utilizes patterns to predict future trends, such as stock prices and sales.