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Startup Digest

Analytics

February 02, 2018

Hello digesters, 

This week we have 5 articles you shouldn't miss. Have a fun weekend and happy digesting!

Much ♥ from Chicago!

Startup Digest Analytics is curated by:
Lidia Donajczyk-Lipinska

Lidia Donajczyk-Lipinska - Founder @ Hubmama

Contact Lidia Donajczyk-Lipinska at lidia.lipinska@startupdigestmail.com

Check out the Startup Digest blog for news and resources!

Follow the Startup Digest blog for curated news, resources, and stories from the global network. Gather tips from fellow entrepreneurs, meet our curators and keep up to date on the latest Startup Weekend and Startup Week events happening around the world. You will find everything you need on the Startup Digest blog.

How AI Could Help the Public Sector

Emma Martinho-Truswell - hbr.org

A public school teacher grading papers faster is a small example of the wide-ranging benefits that artificial intelligence could bring to the public sector. 

5 New Big Data Demands That Are Shrinking the Tech Talent Pool—Faster

Brenda Do - upwork.com

Enterprises will continue investing more into big data projects over the next few years. Read on for five changes to expect as demands on big data evolve.

Hands-On Data Science Education

Various - kaggle.com

These free courses emphasize practical data skills instead of abstract theory. We think this is the fastest (and most fun) path to becoming a data scientist or improving your current skills.

Data analysis has a serious Last Mile problem

Jesse Paquette - medium.com

In order to innovate, business managers-doctors-researchers need to ask iterative, detailed questions about their customers-patients-subjects, respectively — but their analytics dashboards are only giving them the same old KPIs and visualizations.

Data and Statistics for Social Sciences: Data analysis tools & training

Various - ox.libguides.com

A range of software packages to analyse data - from Access or Excel to dedicated packages, such as SPSS, Stata and R for statistical analysis of quantitative data, Nvivo for qualitative(textual and audio-visual) data analysis (QDA), or ArcGIS for analysing geospatial data.

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