What Is Data Science?

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Data science is the technology that keeps you engaged on social media sites. Airlines use it to predict weather patterns, analyse sensor data from aircrafts and rockets, and improve the safety of flights.

Data scientists need to first understand the value of their data. Having a solid foundation in programming (Python and R are the most common) and statistics and machine learning algorithms and data visualization is essential for solving real-world issues.

Data Preparation

The second skill is the ability to prepare raw data. This includes tasks like dealing with missing data, normalizing features, encoding categorical variables, and splitting datasets into training and test sets to evaluate models. This ensures that the dataset is of a high standard and is ready to be analysed.

Next, data scientists use a range of statistical techniques to detect patterns, trends and patterns. These include descriptive analytics, diagnostic analytics, prescriptive analytics, and predictive analytics. Descriptive analytics summarizes data in an appealing and visually comprehendable format, such as median mode, mean, standard deviation, and variance. This aids users in making informed decisions by analyzing their findings. Diagnostic analytics makes use of previous data to predict the outcome in the future. Credit card companies use this method to predict customer default risk, for example. Predictive analytics uses patterns to predict future trends, such as sales and stock prices.