Data Workshop with Vladimir (#5)
Szczegóły
What?
Data Workshop with Vladimir
When?
Saturday, October 15th, 11:00 – 16:00 (4 sessions with pizza break).
Where?
GE Healthcare ul. Życzkowskiego 20
Motivation
Let me invite you to Data Workshop #5.
You can check how it was on previous workshops:
Data Workshop #1 -
https://www.meetup.com/datakrk/events/230392309/
Data Workshop #2 -
https://www.meetup.com/datakrk/events/231590232/
Data Workshop #3 -
https://www.meetup.com/datakrk/events/232049478/
Data Workshop #4 -
https://www.meetup.com/datakrk/events/233112089/
The data science is about verifying hypothesis. And this is what we’re doing, including organizational things.
What I learned so far about data workshops:
- There are new joiners all the time (who never worked with machine learning before)
- There are people who participated in all workshops
- There are people who have machine learning knowledge, even if they come for the first time
So, the question is how to deal with it? I figured out one experimental formula: All even workshops will be containing the whole workflow adopted also for new joiners. All odd (e.g. next one is - #5) workshops will be focused on special component
One of them you already read. It is “odd & even” workshop. Based on feedback after data workshop #4 it looks like it made sense – so let’s continue. Next experiment is to engage more than one person in the preparation of data workshop. Niolay will focus on geo (map) visualization.
http://photos4.meetupstatic.com/photos/event/5/b/c/600_454561468.jpeg
Maybe you already know that data science includes several areas like statistics, programming and domain knowledge. But there’s a next one which is very important in real life – visualization. Next data workshop #5 will be about visualization.
What you will learn:
- Right visualization is power in data science
- Fundamental perceptual principles
- Visualization depend on type of variables
- Exploratory data analysis
- Geographic visualization
- Practical overview libraries
- Visualization on real examples
During a workshop I will mention about several laws, e.g. Weber–Fechner law or Stevens' power law.
About the speakers
Vladimir
I like traveling, also in IT world. I worked in different areas in IT (with different technologies). A lot of things happened in this time… I don’t remember all of them, but last 3 years I spent my time learning data. I was involved in building infrastructure for Big Data, I prepared ETL (Hadoop stuff) and I analyzed data (sales forecasting) and so on. In my free time I learn from MOOC (Coursera, Udacity, edX and so on), books and I take participation on the Kaggle. I love challenges.
Nikolay
I am new to IT world. I have started to learn programming and data science 1 year ago and I am very excited about this. Previously I worked in business administration and consulting for many years. Besides that I like books and music, I like to travel by car with my family and I like NHL (ice hockey) which I want now to look at as a data scientist not as just a spectator.
Prerequisites
• Basic knowledge of python
• Three options:
[1] Auto-magic via docker - https://github.com/dataworkshop/environment
[2] Half-manual. The package manager “conda" - install through the Miniconda installer ( http://conda.pydata.org/miniconda.html ) or the Anaconda installer ( https://www.continuum.io/downloads ) + ggplot, seaborn, bokeh, gmplot, geoplotlib, folium, vincent, geopandas, matplotlib basemap
[3] Totally manually. Install manually those packages: ipython, scikit-learn, pandas, matplotlib, ggplot, seaborn, bokeh, gmplot, geoplotlib, folium, vincent, geopandas, matplotlib basemap
Use this script to verify your environment: https://github.com/dataworkshop/prerequisite
Please bring your laptop with you.
Please come an hour before if you need help with setting up the environment!
HOW TO GET TO THE MEETING?
By public transportation
You can reach our office by tram 4, 5, 9, 10, 52 or 72. The nearest stop is 'AWF'
and have a walk along Politechnika Krakowska buildings (Życzkowskiego street). Avia building is located at the end of this small street. Remember that total travel time from the city center may take around 30 minutes.
By car
On Saturday there will be plenty of places to park the car next to Życzkowskiego street
https://a248.e.akamai.net/secure.meetupstatic.com/photos/event/1/e/e/600_442080494.jpeg
https://a248.e.akamai.net/secure.meetupstatic.com/photos/event/2/0/1/600_442080513.jpeg
