Data validation is the process of ensuring that data is accurate, complete, and consistent. It involves verifying that data meets certain criteria, such as data type, value range, and formatting...

Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and irrelevant information from a dataset. The goal of data cleaning is to prepare the data for...

Data analysis is the process of systematically examining and interpreting data to conclude, identify patterns, and make decisions. Data analysts work with large and complex datasets, and use a variety...

Data scraping refers to the process of extracting data from websites or other sources using automated tools or scripts. The scraped data can then be analyzed and used for various...

Learn the fundamentals of REST APIs and master techniques for making, parsing, and authenticating HTTP requests. This course covers key concepts such as rate limiting, HTTP methods, and the importance...

Data import and export are processes that involve transferring data between different systems or formats. Data import is the process of bringing data into a data analysis tool or platform...

Data normalization and scaling are techniques used to adjust the values of a dataset so that they are on a similar scale and have the same properties. This is important...

Data transformation is a process of modifying and converting raw data into a clean, structured, and organized format that is ready for further analysis and modeling. This process can involve...

Data visualization is the graphical representation of data and information. It is the process of creating visual displays of data and information, often in the form of charts, graphs, maps,...