Course: DATA 401 - Data Literacy
Data 401 - Data Literacy
Description
This course aims to equip students with essential data manipulation and modelling techniques. It explores various data formats and styles, enabling students to understand data extraction, transformation and loading the datasets. Students will learn to refine and query data from the databases using query language. Through the lens of data analysis, students will craft informative narratives to aid organizational decision-making.
Course Learning Outcomes
1. Consider data and their characteristics.
Objectives:
1.1 identify common types.
1.2 Review data management and data manipulation tools.
1.3 Evaluate data sets by reviewing, managing and manipulating data.
1.4 Use SQL to query data.
1.5 Use the import/export data tool to connect the data source and move it to a destination.
2. Recommend a data manipulation tool.
Objectives:
2.1 Describe common data types.
2.2 List the advantages and disadvantages of different data types.
2.3 Build tables with data types.
2.4 Manipulate data types for sorting, aggregation, and representation.
2.5 Survey tools that use and manage data types.
3. Visualize data types from open data sources for presentation to an audience.
Objectives:
3.1 Survey open data sources and the available formats.
3.2 Evaluate tools used to open data.
3.3 Review case studies of open data use.
3.4 Choose open data for analysis.
4. Select data modelling tools for the exploration and presentation of data.
Objectives:
4.1 Review standard data modelling tools used in the industry.
4.2 Exampime data attributes and domains.
4.3 Use a data modelling tool to explore a relational database.
4.4 Diagram data modeling notations.
Reference: https://www.sait.ca/programs-and-courses