Demonstrate capability to query data from multiple tables using SQL JOINS. Create and modify database table and index structures. Maintain table data integrity through constraints. Understand how to ...

Module 1: Data Wrangling: Students will learn SQL (Structured Query Language), commonly used to store, manipulate and retrieve data from a relational data base. Module 2: Inference: This module’s ...

The topics covered include methods for data cleaning and transformation, manipulation of data using tabular data structures, relational database models, structured query languages (e.g. SQL), ...

Data that can be immediately identified within an electronic file such as a relational database that is structured in rows (records) and columns (fields). For example, to retrieve the name of a ...

sometimes combined in a single query. This is largely driven by AI models designed to process multiple data types simultaneously. Structured data like VideoObject and ImageObject ensure that ...

The topics covered include methods for data cleaning and transformation, manipulation of data using tabular data structures, relational database models, structured query languages (e.g. SQL), ...

It is not good practice to store calculations in tables, as part of the data itself ... We can then create a query (showing these two fields plus the additional calculated field Total) which ...

Software logic written in English-like programming syntax without regard to the actual programming language eventually used. Structured English is used to verify the business logic, which can then ...

Throughout your training, you will grow your technical skills specific for analysing and interpreting data. You should build solid knowledge and understanding of statistics, and learn to use ...