Overview
Context
Mastery requires practice. Having completed Statistical Thinking I and II, you developed your probabilistic mindset and the hacker stats skills to extract actionable insights from your data. Your foundation is in place, and now it is time practice your craft.
In this Case Studies in Statistical Thinking course offered by Data Camp, you will apply your statistical thinking skills, exploratory data analysis, parameter estimation, and hypothesis testing, to two new real data sets.
First, you will explore data from the 2013 and 2015 FINA World Aquatics Championships, where you will quantify the relative speeds and variability among swimmers. You will then perform a statistical analysis to assess the "current controversy" of the 2013 Worlds in which swimmers claimed that a slight current in the pool was affecting result.
Second, you will study the frequency and magnitudes of earthquakes around the world.
Finally, you will analyze the changes in seismicity in the US state of Oklahoma after the practice of high pressure waste water injection at oil extraction sites became commonplace in the last decade.
Programme Structure
Chapters
- Fish sleep and bacteria growth: A review of Statistical Thinking I and II
- Analysis of results of the 2015 FINA World Swimming Championships
- The "Current Controversy" of the 2013 World Championships
- Statistical seismology and the Parkfield region
- Earthquakes and oil mining in Oklahoma
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Statistics View 109 other Short Courses in Statistics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is suitable for beginners who have already completed Statistical Thinking I and II. It will help to review the key points from these courses to prepare, but mastering the material in this course does not require advanced knowledge or skills.
- Employees who work in the fields of data science, statistical analysis, natural sciences, and seismology can all benefit from the knowledge gained in this course. Additionally, people wanting to pursue careers in these fields can gain important insights and skills.
PREREQUISITES:
- Statistical Thinking in Python (Part 1)
- Statistical Thinking in Python (Part 2)
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions