Data Science: Difference between revisions
m Styled templates into pretty format. For any comments/concerns, please contact User:Pepperonipi. |
mNo edit summary |
||
| Line 6: | Line 6: | ||
| 2020thread = [https://scioly.org/forums/viewtopic.php?f=285&t=15673 2020] | | 2020thread = [https://scioly.org/forums/viewtopic.php?f=285&t=15673 2020] | ||
}} | }} | ||
'''Data Science''' is a [[Division C]] trial event held in [[Texas]] for the [[2020]] season, founded by [[User:dkarkada]], a member of [[ATX Science Olympiad]]. It is centered around statistics | '''Data Science''' is a [[Division C]] trial event held in [[Texas]] for the [[2020]] season, founded by [[User:dkarkada]], a member of [[ATX Science Olympiad]]. It is centered around statistics, programming knowledge, and basic machine learning concepts. | ||
==The Event== | ==The Event== | ||
The event takes the form of a written test portion and a coding challenge portion. Competitors must bring writing utensils, but computers will be provided. The written test will cover Python syntax and statistics, as well as feature extraction. The coding challenge portion will take the form of a Jupyter Notebook with pre-existing code. | The event takes the form of a written test portion and a coding challenge portion. Competitors must bring writing utensils, but computers will be provided. The written test will cover Python syntax and statistics, as well as feature extraction. The coding challenge portion will take the form of a Jupyter Notebook with pre-existing code. | ||
| Line 16: | Line 16: | ||
==Using Jupyter== | ==Using Jupyter== | ||
==Scoring== | ==Scoring== | ||
The written test is weighted more heavily, being 60% of the final score. The coding challenges are 40% of the final score | The written test is weighted more heavily, being 60% of the final score. The coding challenges are 40% of the final score and will be graded based on both correctness and using organized code. | ||
[[Category:Lab Event Pages]] | [[Category:Lab Event Pages]] | ||
[[Category:Trial Event Pages]] | [[Category:Trial Event Pages]] | ||
[[Category:Event Pages]] | [[Category:Event Pages]] | ||
Revision as of 23:31, 2 September 2020
This page is incomplete. |
Template:EventLinksBox Data Science is a Division C trial event held in Texas for the 2020 season, founded by User:dkarkada, a member of ATX Science Olympiad. It is centered around statistics, programming knowledge, and basic machine learning concepts.
The Event
The event takes the form of a written test portion and a coding challenge portion. Competitors must bring writing utensils, but computers will be provided. The written test will cover Python syntax and statistics, as well as feature extraction. The coding challenge portion will take the form of a Jupyter Notebook with pre-existing code.
Python Syntax
Python does not require a user to declare variable types. Instead, when one wishes to use a variable, one simply needs to put down the variable name and either leave it alone or assign it a value. If-else statements and loops require a colon after the main statement. In order to create a class, one says class (enter class name here). So if someone wanted to make the Object class, someone could say class Object. Creating a method in a class uses def (so if someone wanted to make the findArea class someone could say def findArea)
Statistics
Feature Extraction
Using Jupyter
Scoring
The written test is weighted more heavily, being 60% of the final score. The coding challenges are 40% of the final score and will be graded based on both correctness and using organized code.