Data Analytics Learning Resources

The Duke of Moral Hazard

Great to see that there is now a forum set up regarding this discipline.

Given the enormity of the subject material, a thread on learning resources might be beneficial for those starting out.

To get the ball rolling, there's course over at Code School that will teach you the basic of R: [www].codeschool.com/courses/try-r

It's free too which is always nice.

The Duke of Moral Hazard

Another great resource is Coursera.

They have many and varied on-line DA and Big Data courses:

[coursera.org/course/devdataprod]

Please add to the list if you have any other suggestions.

The Duke of Moral Hazard

This is a great resource, definitely worth subscribing to:

[www.]r-bloggers.com/

keith16

Not a dedicate learning resource at such, but Stephen Fews blog is essential reading.

Actually maybe it's worth having a thread where we can post blog resources?

kandra

Kevin Markham's blog has a great post with resources for learning data science fundamentals (it's called Data School, can't link cause I don't have enough posts, maybe someone else can).

I used to really like Coursera but they seem to have made a lot of their DA-related courses for purchase only

Sleepy

Hadn't come across that blog before keith16, some nice stuff on it.

Another blog I'd suggest as useful for someone new to BI would be http://mivisualization.com/ which is run by UK based BI consultancy house Metapraxis.

Rucking_Fetard

Blogs ya say...

http://www.edwardtufte.com/tufte/
http://visual.ly/
http://www.thefunctionalart.com/
http://hbr.org/special-collections/insight/visualizing-data
http://chartporn.org/
http://www.excelcharts.com/blog/posts/
http://flowingdata.com/
http://datavisualization.ch/
http://visualization.geblogs.com/

Stuff...

http://selection.datavisualization.ch/
http://data-sorcery.org/contents/
http://www.highcharts.com/

Calina

Strongly recommend Roger Peng et al at Simply Statistics as well.

Keith, can we rename this to "useful links" rather than "learning resources"? Seems to me it's more broadly focussed, particularly a lot of the dataviz sites.

vigos

Here's are some websites which have a collection of links for getting started in data science/statistics/analytics/machine learning etc.

Whizage This has a nice "Introduction To Data Science" pdf along with links to alot more free resources.

Statistical Data Mining Tutorials A nice set of tutorials from Andrew Moore

Large Set of Machine Learning Resources The original link appears to be dead so I've taken this from Google cache but will update if I can find another link

danthefan

God almighty vigos why did I not come across all those resources when I was in college, great links there, thanks.

vigos

No problem should also add in the following Kdnuggets, as its great for news and is always posting other interesting links

Rucking_Fetard

Visualizing Algorithms

dmc17

Gapminder seems like a good resource

Rucking_Fetard

20 Sophisticated Data Visualization Tools

L.Jenkins

http://www.onlinevideolecture.com/ebooks/it-ebooks/index.php?subject=Big%20Data

A few downloadable ebooks if anyone is interested.

Rucking_Fetard

Stuff that every programmer should know: Data Visualization

Rucking_Fetard

Confused with data analysis? The noob’s guide to creating conversion funnels

Rucking_Fetard

The Popularity of Data Analysis Software

Rucking_Fetard

*****FREE******

Mining Massive Datasets

This class teaches algorithms for extracting models and other information from very large amounts of data. The emphasis is on techniques that are efficient and that scale well.

About the Course
We introduce the student to modern distributed file systems and MapReduce, including what distinguishes good MapReduce algorithms from good algorithms in general. The rest of the course is devoted to algorithms for extracting models and information from large datasets. Students will learn how Google's PageRank algorithm models importance of Web pages and some of the many extensions that have been used for a variety of purposes. We'll cover locality-sensitive hashing, a bit of magic that allows you to find similar items in a set of items so large you cannot possibly compare each pair. When data is stored as a very large, sparse matrix, dimensionality reduction is often a good way to model the data, but standard approaches do not scale well; we'll talk about efficient approaches. Many other large-scale algorithms are covered as well, as outlined in the course syllabus.

Rucking_Fetard

Datavisualization with Angular and d3 on the Twitter Stream API

Interested Observer

Rucking_Fetard wrote: »

*****FREE******

Mining Massive Datasets

Thanks a lot, have signed up for this one.

Rucking_Fetard

Interested Observer wrote: »

Thanks a lot, have signed up for this one.

MIT study finds learning gains for students who took free online course

Rucking_Fetard

Real-time Analytics at Massive Scale with Pinot

Rucking_Fetard

Free programming books

vigos

Rucking_Fetard wrote: »

Free programming books

Never ceases to amaze me just how much information is out there for free on the web. Wish it was there when I was in college

Neon_Lights

I would recommend two that im currently diving through, datacamp.com and bigdatauniversity.com

Has anybody got any recommendations regarding python for big data?

The Duke of Moral Hazard

You can download SAS University Edition for free here

Includes the following:

• An intuitive interface lets you interact with the software from your PC, Mac or Linux workstation. Learn about SAS Studio. You can also use Jupyter Notebook as the interface.
  
• A powerful programming language is easy to learn, easy to use. Learn about Base SAS.
  
• Comprehensive, reliable tools include state-of-the-art statistical methods. Learn about SAS/STAT.

• A robust, yet flexible matrix programming language enables more in-depth, specialized analysis and exploration. Learn about SAS/IML.
  
• Several time series forecasting procedures – TIMEDATA, TIMESERIES, ARIMA, ESM, UCM and TIMEID – are included from SAS/ETS.
  
• Out-of-the-box access to PC file formats provide a simplified approach to accessing data. Learn about SAS/ACCESS.

The Duke of Moral Hazard

Free SAS Tutorials here

Free SAS Programming 1 course here

Neon_Lights

The Duke of Moral Hazard wrote: »

Free SAS Tutorials here

Free SAS Programming 1 course here

SAS is becoming a lot more visual though and the new VIYA product supports R and Python scripting.

The Duke of Moral Hazard

Neon_Lights wrote: »

SAS is becoming a lot more visual though and the new VIYA product supports R and Python scripting.

Indeed, Viya looks to be a very exciting development. The functionality afforded by being fully extensible with REST APIs should open up new frontiers also.

Neon_Lights

The Duke of Moral Hazard wrote: »

Indeed, Viya looks to be a very exciting development. The functionality afforded by being fully extensible with REST APIs should open up new frontiers also.

Yeah they've really updated the function base in sas9.4 to cope with the increased demand for semi structured data. Which goes in tandem with the new VIYA functionality.

Just signed up to the VIYA trial myself too which they have on offer at the moment. Very like SAS studio currently, I wonder if it will move towards enterprise miner or visual analytics, I think they have a module called visual machine learning in the pipeline apparently.

I would suggest anybody looking to learn SAS to also look at the SUGI proceedings, you can pick up useful tips and tricks.

http://www2.sas.com/proceedings/sugi30/toc.html

if anybody aslo had as any good resources on the SAS macro language I may as well request them now