Super Data Science: ML & AI Podcast with Jon Krohn

323: Data Science as a Freelance Career

Dec 19, 2019
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1
Introduction
00:00 • 2min
2
The Pros and Cons of Freelancing and Data Science
02:17 • 4min
3
The Weather in Silicon Valley
06:07 • 2min
4
How to Be a Successful Data Scientist in Silicon Valley
07:48 • 2min
5
How to Feature a Freelancer on Your Website
10:06 • 2min
6
How Long Have You Been Doing Data Science?
12:00 • 2min
7
How Long Have You Been Active on Upwork?
13:41 • 2min
8
How to Earn $60,000 on Upwork
15:14 • 3min
9
The First Exposure to Data Science
18:17 • 3min
10
The Relationship Between Business Intelligence and Predictive Modeling Jobs
21:05 • 3min
11
The Importance of Domain Expertise in Statistical Machine Learning
24:28 • 2min
12
How to Onboard a Client and Understand Their Needs
26:26 • 2min
13
The Advantages of Fixed Price Work
28:54 • 2min
14
How to Select and Vet Your Clients
31:08 • 2min
15
How to Increase Your Hourly Rate
33:37 • 3min
16
How to Drop Your Rate to Get More Work
36:38 • 3min
17
The Importance of Excel in Data Science
40:05 • 2min
18
How to Use Excel for BI
42:30 • 2min
19
GG Plot for Oil and Gas Data
44:08 • 3min
20
The Importance of Intelligence in Oil Production
46:47 • 2min
21
The Benefits of Face to Face Interactions
48:31 • 2min
22
The Benefits of Cluster Analysis
50:51 • 2min
23
The Impacts of a Freelance Consultant's Engagement
52:42 • 2min
24
The Trade-Off of Freelance Work
54:27 • 2min
25
The Importance of GPS Tracking Data in Fairwind
56:33 • 2min
26
Freelance or Full Time Work?
58:05 • 5min
27
How to Get a Full Time Job and Do Freelancing on the Side
01:02:48 • 3min
28
How to Transition to Data Science
01:05:20 • 5min
29
The Importance of Data Science in Freelance Work
01:10:19 • 4min