Testimonials for Monika Wahi’s data science courses on LinkedIn Learning are posted here. Read what learners are saying to help you decide if you want to take the courses!
Tag Archives: LinkedIn Learning
Educational Resources
Need an Online Curriculum in Data Science or Public Health that is Engaging? Here are my Freebies and Hacks!
29
Dec
Dec
Need online curriculum in data science or public health that keeps the learners engaged? I share a links to free resources as well as my hacks to interest high!
29
Nov
Nov
Want to get started learning about SAS macros? This blog post provides SAS macros for beginners with video tutorials to walk beginners and code newbies through the basic steps!
01
Aug
Aug
What is the CEPH, and how does it relate to the other organizations in US public health? This blog post explains the history and function of the CEPH, and how it connects to the rest of Big Public Health in the US.
30
Jul
Jul
Getting data for meta-analysis together can be challenging, so I walk you through the simple steps I take, starting with the scientific literature, and ending with a gorgeous and evidence-based Forrest plot!
21
Jun
Jun
Monika posts her “data science newbie do-it-yourself starter kit”, with links to cheap or free learning resources for the data science newbie who wants to get started in healthcare analytics.
Quality Assurance/Quality Improvement (QA/QI)
“Bad Blood” Reveals Theranos was Guilty of Bad Business and Bad Data Science: Part 1 of 5
14
Jun
Jun
This is my first blog post in a series of five where I talk about data-related misconduct outlined in the book “Bad Blood”, and provide guidance on how to prevent it.
15
Dec
Dec
We experience artificial intelligence all the time on the internet in terms of friend suggestions on social media, internet ads that reflect what we have been searching for, and “smart” recommendations from online stores. But the reality is that even the people who build those formulas cannot usually explain why you were shown a certain […]
Career Development
Two Takeaways from Danny Ma’s Machine Learning Panel: Understanding the Problem, and Understanding your Data
04
Dec
Dec
This lively panel discussed many topics around designing and implementing machine learning pipelines. Two main issues were identified. The first is that you really have to take some time to do exploratory research and define the problem. The second is that you need to also understand the business rules and context behind the data.
Educational Resources
If You Want to Increase Conversions, Try my A/B Testing Course on LinkedIn Learning
26
Oct
Oct
A/B testing seems straightforward, but there are a lot of picky details. What A and B conditions do you actually test? How long do you run the test? How do you calculate the statistics for the test? Answer your questions by taking this LinkedIn Learning course.
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