What Is Data Science?

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

Data scientists must first comprehend the value of their data. Solving real-world problems requires a solid background in programming (Python or R are the most well-known) as well as statistics machine-learning algorithms, visualisation of data.

Data Preparation

The second talent is the ability to prepare raw data. This entails tasks like removing missing data or normalising features. This also includes encoding categorical variables and splitting data in training and test sets to test models. This ensures that the dataset is of the highest quality and ready for analysis.

Next, data scientists use a variety of statistical methods to detect VDRs patterns, trends and hints. These include descriptive analytics, diagnostic analytics predictive analytics, and prescriptive analytics. Descriptive analytics provides a summary of a set of data in simple and easy-to-read formats like mean median, mode, standard deviation and variance. This allows users to make informed decisions based on their findings. Diagnostic analytics makes use of previous data to predict the outcome in the future. A credit card company employs this method to predict customer default risk, as an example. Predictive analytics analyzes patterns in historical data to anticipate future trends like stock prices or sales.

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