Analytics4All is dedicated to unraveling the mystery behind Big Data and Analytics. The goal is to provide a plain spoken, accessible education in Analytics. Not everyone needs to strive for a PhD in machine learning to take advantage of the insights analytics can offer.
Each section in this site is designed to operate on its own. So if you are only concerned with learning Python, you can simply follow the lessons listed on the Python page. I would however, recommend anyone looking to pursue a career in analytics or data science to check out all the sections.
While the site is still evolving, my goal here is to offer at least a cursory overview of many of major concepts and software platforms you are likely to run across.
Got questions? Is there something you would like to see me cover? Feel free to reach out to me.
- Twitter – https://twitter.com/blarson424
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- or leave a message on the site
Thank You
Ben Larson
Interesting Articles
Popular Programming Languages for Data Analysts
Amazing! This blog looks just like my old one! It’s on a entirely different subject but it has pretty much the same page layout and design. Excellent choice of colors!
Hi Michael:
What’s up?
Great work!
Congratulations!
HA.
I am making a thesis and making a data analysis… No idea. Fvck
Well,…, see the positive side of it, this is a good time to learn.
Good luck and regards!
Hi, I am after some simple clean data to show learners how to do linear regression on R, can you direct me to some down able data
thanks
poda patti
Does anyone know how to get data from Linux into a csv format to import into excel?
Please advise.
Not sure exactly what you are asking, but both Open Office and Libre Office work in Linux and they have an Excel like spreadsheet program that will allow you to save data as a CSV or even XLS file. There is also Google Sheets, it is web based so it should work within a Linux environment.
noooooooo
I got a table.csv file in Linux, after I send it out as attachment in mail then save and open it in my windows excel application, it was messy, the columns were not aligned with data scattered around
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i was watching at the linear regression. you explained very well. thank you so much. i am a data analyst from the University of bridgeport.
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