DataFramed

#32 Data Science at Doctors without Borders

8 snips
Jul 23, 2018
Ask episode
Chapters
Transcript
Episode notes
1
Introduction
00:00 • 2min
2
Derek's Role at MSF
01:39 • 3min
3
The Path to Data Science
04:45 • 2min
4
How MSA Helps Shape Health Policy
06:54 • 2min
5
Doctors Without Borders: A Brief Overview
08:54 • 2min
6
The Challenges of Data Science and Analysis and Analytics at MSF
10:49 • 3min
7
The Differences Between Data Science and Tech Data Science
13:42 • 3min
8
The Future of Electronic Data Collection
16:15 • 2min
9
The Pros and Cons of Paper Surveys
18:16 • 2min
10
Can I Program?
19:57 • 2min
11
The Bimodal Distribution of Marks in Computing
21:51 • 2min
12
The Non-Writed Language of the Local NAGA Dialect
23:22 • 3min
13
The Motivation Behind the Baseline Health Assessment Project in Lahai Township
26:35 • 5min
14
How to Interview People in LIHEA Township
31:19 • 4min
15
How MSF's Baseline Health Assessment Turned Into Actionables and Deliverables
35:19 • 2min
16
The Importance of Data Science in the Organization of MSF
37:48 • 3min
17
The Difference Between Data Scientists and Data Analysts
40:47 • 2min
18
How to Choose a Data Scientist Title
42:57 • 2min
19
The Future of Data Science at MSF
44:29 • 2min
20
Influencer Culture in Infectious Epidemiology
46:49 • 2min
21
How to Communicate Results in Data Science
48:46 • 2min
22
The Importance of Data Science
50:50 • 2min
23
Data Science in the Pharmaceutical Industry
52:41 • 2min