Welcome to our first space!
🗓️Scheduled for the 1st of May at 2000hrs GMT+3
We'll discuss how to get started in data and what's in store for medics.
Also, a prime time to hear from you and get to know our community better!
Welcome to our MVP launch:
🥳🥳🥳
An educational platform for learning data skills in healthcare.
Our dedicated team welcomes you to explore and give suggestions as we aim to build and grow the community.
⚪️Access feedback form right above the footer.
Join a collaborative medical data community for peer-to-peer learning, contribute to open-source projects, and forge valuable connections to address healthcare challenges through the integration of data, machine learning, and artificial intelligence tools.
This is the best roadmap we'd recommend and the tools to use when learning data analysis. Learn every day, no matter how small, for maximum knowledge retention!
Take home from today's meeting. Most of the tools to learn are free. What you pay with is your time, grit and internet ~ Dr. Andai. Take up the challenge and learn.
Hello Data! A team collaboration between our team and AKU Data Club. We hope this will be one of the many collaborative sessions coming up. We keep building. You are not alone.
Good morning! Day 14 of
#90Daysof
Code We have had questions where people could get data for practice. Here are some sources.
Google Dataset Search
Maven Analytics
Tableau Dataset
We are pleased to invite you to the second run of Demistifying health data webinar. We request you to fill this short feedback form so we can highlight a few of your key areas of interest.
Register for the meeting on:
There are significant gaps in the healthcare infrastructure for managing SCD. Data collection on SCD is improving, with efforts to create comprehensive registries to better understand the burden of the disease and to inform healthcare policies. World Sickle Cell Day
Medical/clinical data analysts are in severe shortage not only in the country but also in the region. But countries like Rwanda are a step ahead in this, make a point of checking them out
How can we participate. Using the current data skills you have we create data insights targeting different aspects of men's health. Hope we up to the task.
To new wins of the day we hit 100 users on our website. We are grateful for every single user. Hope We all make this our go to platform. Do you have a blog post that you'd want to get featured feel free to reach out.
Don't know where to start with Data?
Join our community as we examine things from the basic level. Tell us what you are up to and exchange ideas with fellow Medics.
Link to Our Slack Community:
A new week is loading. Hope we had adequate time to rest. As we prepare for the week let's also have a plan for what our data progress will be. Make sure you get some time also to view our website
#DataScience
#AfiaData
#HealthData
Clinical data analysts and scientists are the only ones who can analyze your hospital data and interpret it well. They can analyze and intepret data from radiology, theatre, pharmacy, E&A, wards etc.
Many medical institutions will be looking for clinical data analysts
May is mental health awareness month and we have various datasets that would be used for this. If you still don't have anything for this week. This could be a part of your plan.
#AfiaData
. 15 days of
#90DaysofCode
A new week is loading. Hope we had adequate time to rest. As we prepare for the week let's also have a plan for what our data progress will be. Make sure you get some time also to view our website
#DataScience
#AfiaData
#HealthData
Did you know we have community meetings on Mondays where we have updates on how our previous week has been?
Join Our slack channels to be always ahead of the curve.
Day 11 of
#90DaysofCode
. Before we close our laptop remember 30 minutes of code is good. Are you a dark mode or light mode? Team R hope by now you know the interface. 1. The Environment panel, where a list of the data you have imported and created can be found.
The Files, Plots
Most common mistake new learners do is to rush into visualizing your data without determining if the dataset is relevant to your question, is it cleaned up nice, etc. I’d say the cleaning process is one of the most critical stages in data analysis
Try to make it a habit that as you learn, you think of a few problems you can tackle with the knowledge that you have or are acquiring. This keeps you locked in on your learning journey.
One thing medics fear is a programming language. Fear not, learning the language starts from these four core elements.
- Functions
- Objects
- Logical Expressions
- Indexing
For YouTube learners, here is a boot camp by Alex the Analyst, that I'd solemnly swear by, and is a game changer, it covers everything Data analysis. A step-by-step guide, and all the tools you need to learn. Ensure you check it out!
In the spirit of
#90DaysofCode
. What are variables and some of their rules in
#Python
? Thread.
A variable refers to a memory address in which data is stored. A mnemonic variable is a variable that can be easily remembered and associated.
Packages are collections of functions, data, and compiled code stored in a directory.
They cover a wide range of functionalities and make handling data an efficient process.
Where to start?
- Access R online using Posit Cloud.
Posit Cloud is a platform that provides access to an R Studio environment.
Think of it like accessing online Google Docs.
Steps of analyzing your data:
1. Define your objectives/questions(Ask)
2. Data collection (prepare)
3. Data cleaning (process)
4. Data analysis (analyze)
5. Interpretation and visualization
6. Action - generate insights, communicate and act
Don’t jump to visualization tools like powerBI or tableau before you exhaust excel. Excel is one powerful tool that most people won’t even use a quarter of the functions in their day to day activities.
In most user cases, you’ll be settling for excel btw
30 days! of
@afiadata_ke
We've had a wonderful Community experience.
Some of our milestones.
✅Slack and Inaugural Twitter space.
✅One-on-one interactions.
✅Webinar series in partnership with
@psk_ypg
...
Here are some data analytics courses we'd recommend for beginners trying to understand data analysis: GOOGLE DATA ANALYTICS. (it was free last time I checked)
I will be offering FREE Psychological First Aid and Adaptation Information to any peaceful protestor who may experience police brutality or feel emotionally distressed because of what is happening to us. (0758777400/0780400276)
#FreeOguda
#FreeOsama
@davidjesse_
We need public-private partnerships for this to work. The private sector is far ahead with utilizing health data insights in decision-making. Many master's students have gathered data from their epidemiological studies and are applying this. The govt needs to catch up!
For the majority of those without GitHub, here is the link that will guide you in setting up everything, as a beginner. It's crucial for documenting your projects and even hosting your personal portfolio (we'll talk about that later)
We are pleased to inform you that our Slack space is up and running. For ease of communication and coordination, kindly download and install Slack if you don't have one. Here is the link to our channel, I look forward to seeing everyone over there!
Top of the morning esteemed colleagues!
Skills are more important than certificates, even as you chase those credentials, ensure that you’re well grounded! Have a wonderful day ahead!
To any data professional, clean data is fundamental. But in a real world data never comes when clean. What's your experience with data cleaning? Day 16 of
#90DaysofCode
Getting to the end of what has been a great month of interacting with Medics in Data.
Wonderful conversation across the broad, from senior colleagues to juniors and across different stakeholders in different cadres.
The work has only begun!
We handle data and use it to make decisions in our day to day lives, subconsciously and consciously. From tests, diagnostics and treatment options. Medics can leverage this by understanding how data works in the first place
@d_ogera
@afiadata_ke
I am finding learning data analysis is second nature for medics. Since we are generating, interacting, and utilizing a lot data it is only natural we learn data analysis for data driven decision making. Go medics!
Defining your study objective is mostly about soft skills and the problem you want to solve. In our case, what’s the clinical problem that you think your study through data, can solve? This is key in mapping your trajectory
f(θ|x) = {f(x|θ) x f(θ)} / f(x) 🤗
Bayesian theorem describes the probability of an event happening given prior belief/ knowledge of circumstances surrounding it
My desk is full of excel workbooks which need to be worked on, yet I’m swamped. Ningeona an outstanding member pale
@afiadata_ke
mwenye ameiva excel angekula vizuri hii weekend
I hope a good number of our members can come up with a few data-oriented suggestions for the mitigation of some of the chronic illnesses herein mentioned, in a few months!
the rising prevalence of chronic diseases, such as diabetes, cardiovascular diseases, and cancer, poses significant challenges for healthcare systems in terms of prevention, management, and long-term care
Before you start analyzing your data, create a plan first, list what you want to get out of it (just ensure this does not inform your bias). List the tools you will use and the steps you will take. Your analysis will be streamlined and easy to track your mistakes
This week we are covering data cleaning with excel! Excel is one of the most diverse and efficient tools you can ever use in data analysis, for small to medium datasets. It's your day to day go-to tool in most of our workspaces.
Pertaining data collection: before you settle on the tools you’d like to use, what influences that decision is whether your data is first, second or third party.
A screenshot from one of our community members tackling data wrangling and cleaning using
#R
, on a synthetic depression dataset. Peep the note making that aids in making sense of the code. Share your
#90DaysofCode
journey with the rest
Posit Cloud free package gives you the following:
- space for 25 projects
- 25 hrs of computing per month
- 1GB RAM
- 1 CPU
Fair enough for starting out.
Avoid copy pasting when learning code, type it out, all of it. You will grasp things faster, increase your typing speed and learn how too organize your thoughts through comments
#90DaysofCode