What Is Data Science?

Data science is the magic behind the of the scenes that help social media sites to understand your preferences and create their content to keep you on the edge. Airlines use it to forecast weather patterns, analyse sensor data from aircraft and rockets, and increase the safety of flights.

Understanding the importance of data is the first step to becoming a data scientist. Being able to comprehend the fundamentals of programming (Python and R are the most commonly used) and statistics and machine learning algorithms and data visualization is essential to solving real-world problems.

Data Preparation

The other key skill is being able to prepare raw data for analysis. This includes tasks like dealing with missing data, normalizing features, coding categorical variables, and dividing data sets into test and training sets for model evaluation. This will ensure a high-quality data set that is suitable for analytical processing.

Data scientists employ a variety of statistical techniques to find patterns or trends and provide insights. These include descriptive analytics, diagnostic analytics predictive analytics, and prescriptive analytics. Descriptive analytics gives a description of a set of data in visual and easily understood formats like mean median, mode standard deviation, and variance. This allows users to make informed decisions based on their findings. Diagnostic analytics rely on previous data to predict future outcomes. A credit card company utilizes this technique to predict default risk, for instance. Predictive analytics employs patterns to predict future trends such as sales and prices for stocks.


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