Category Archives: Data Science
Correlation: Statistical Analysis
Correlation analysis is a very powerful tool for examining relationships in data, but it should only be used when appropriate. To avoid potential issues, it is important to carefully consider the data, examine raw data by plotting it, look out for nonlinear relationships, outliers, and heteroscedasticity of data, and to consider the coefficient of determination instead of just the correlation coefficient.
Data Science: Unlocking Insights from Data
Data science is a rapidly growing field that involves using various techniques and tools to extract insights and knowledge from data. It is a multidisciplinary field that combines aspects of statistics, computer science, and domain expertise to analyze and understand complex data sets. One of the primary goals of data science is to extract useful […]
SQL For Data Scientists
SQL, or Structured Query Language, is a powerful tool for data scientists to extract, manipulate, and analyze data from databases. It is a standard language used to communicate with relational databases, which are the most common type of databases in use today. One of the most important uses of SQL in data science is for […]