{ Udacity × Bertelsmann } Data Science Scholarship Project Showcase
Challenge Course
A Roadmap of Data Science Beginnings
Summer 2018 Expedition
Melissa
Simon
Is every lesson of the Challenge Course* equally dense?
2
HYPOTHESIS
Python and SQL lessons contain more content than they appear relative to the overall course.
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QUESTION
ASSUMPTIONS
* Bertelsmann Data Science Challenge Scholarship Course (2018)
Data collected from the Course was analyzed in spreadsheets and Tableau.
3
1496
DATA ROWS
OBJECTIVE MEASURES
video length
word count
SUBJECTIVE MEASURES
activity duration
activity difficulty level
AGGREGATION
various levels
sections
lessons
units*
time
CALCULATED
len(video)�+
COUNT(word)
+
{activity:duration}
* 4 units — meta: 1, 22, 33; statistics: 2-21; Python: 23-27; SQL: 28-32
METHOD
4
Programming units are denser and each unit requires about ⅓ of the time.
GIVEN COURSE COMPOSITION (%)
ANALYZED COURSE COMPOSITION (%)
ANALYZED TIME PER CONTENT TYPE PER LESSON
4 units — meta: 1, 22, 33; statistics: 2-21; Python: 23-27; SQL: 28-32
FINDING
Allocate more time for Python & SQL and do not rely on progress indicator.
5
difficulty — level 1: low; level 2: moderate; level 3: high�based on experience and perception of Forum & Slack learner questions
RECOMMENDATIONS
TIME PER SECTION�grouped by units
MEAN DIFFICULTY�grouped by lessons
stats
m
Python
SQL
m
m
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Bertelsmann Data Science Challenge Scholarship Course
July 2018
6
{ Udacity × Bertelsmann } Data Science Scholarship Project Showcase