The ability to become a data consumer is an art form which transcends professions. A vital aptitude in todays information age, Googles Chief Economist Dr. Hal R. Varian commented, The ability to take datato be able to understand it, to process it, to extract value from it, to visualize it, to communicate itthats going to be a hugely important skill in the next decades (Dykes, 2016).
Step 3 of your Project further develops your ability to understand, process, and extract value from data. Also known as data aggregation, this step prompts you to pull together major findings and data points from multiple evaluation sources and culminate them into one complete programmatic story. This aggregate story will become your programs source of truth, guiding initiatives, interventions, and teacher/family relationships.
In this Group Discussion Board, you and your group members aggregate the data from Connor Streets evaluations. You look for comparisons, trends, and causal relationships to draw conclusions about the programs strengths and opportunities for improvement. You also consider how stakeholders might perceive this information.
Reference: Dykes, B. (2016, March 31). Data storytelling: The essential data science skill everyone needs. Forbes. https://www.forbes.com/sites/brentdykes/2016/03/31/data-storytelling-the-essential-data-science-skill-everyone-need