What Is Data Science?
Data science is the technology that keeps you glued to social media sites. Airlines use it to forecast weather patterns, analyze sensor data from aircraft and rockets, and increase flight safety.
Understanding the importance of data is the first step to becoming a data scientist. For solving real-world issues, you require an extensive knowledge of programming (Python or R are the most popular) Statistics, machine-learning algorithms, and data visualisation.
Data Preparation
The second talent is the ability to prepare raw data. This includes things like handling missing data or normalizing features. This also includes encoding categorical variable and splitting datasets in training and test sets to evaluate models. This ensures that the dataset is of the highest quality and is ready to be analysed.
Data scientists employ various statistical techniques to detect patterns or trends and provide insights. These include descriptive analytics, diagnostic analytics predictive analytics and prescriptive analytics. Descriptive analytics gives a description of a collection of data using visual and easily comprehensible formats such as mean mode, median, standard deviation, and variance. This assists users in making informed decisions from their research. Diagnostic analytics utilizes previous data to predict the outcome in the future. A credit card company employs this method to predict default risk, as an example. Predictive analytics uses patterns to predict future trends such as stock prices and sales.