Akademik Dersler - İçerik

Explains Data and features
Distinguishes between qualitative (categorical) and quantitative (numerical) data types
Explains the concepts of continuous and discrete data with examples
Defines data scales (nominal, ordinal, interval, ratio) and relates them to real-world applications
Explains chart properties
Identifies basic chart types such as bar chart, pie chart, and line chart
Explains which chart types are appropriate for different types of data
Describes the functions of chart components such as axes, colors, and labels
Lists data visualization tools
Recognizes commonly used data visualization tools such as Excel, Tableau, and Power BI
Explains the basic differences between code-based (e.g., Python, R) and drag-and-drop-based tools
Compares the use cases and advantages of different data visualization tools
Uses basic dataviz tools
Creates basic charts (bar, pie, line) using Excel or a similar tool
Prepares and uploads a dataset appropriately for use in a visualization tool
Adjusts chart elements such as title, labels, colors, and axes