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Startup Digest

Analytics

November 10, 2017

Hello digesters, 

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

Much ♥ from Chicago & Lagos!

Startup Digest Analytics is curated by:
Lidia Donajczyk-Lipinska

Lidia Donajczyk-Lipinska - Founder @ Hubmama

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

Banji Adenusi

Banji Adenusi - Partner

Contact Banji Adenusi at banji.adenusi@startupdigestmail.com

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The 10 Statistical Techniques Data Scientists Need to Master

James Le - towardsdatascience.com

While having a strong coding ability is important, data science isn’t all about software engineering.

2017 The State of Data Science & Machine Learning

Various - kaggle.com

An industry-wide survey presenting a comprehensive view of the state of data science and machine learning.

6 trends shaping the future of data analytics

David Weldon - information-management.com

Organizations are demanding more from their data analytics efforts, wanting immediate insights that will help drive business decisions. In response, many are adopting new technologies such as machine learning, deep learning and natural language processing.

Top Business Intelligence (BI) tools in the market

Baiju NT - bigdata-madesimple.com

This article aims to list all top BI (Business Intelligence) products available on the market.

Critical Capabilities for Business Intelligence and Analytics Platforms

Cindi Howson, Rita L. Sallam, James Laurence Richardson, Thomas W. Oestreich, Joao Tapadinhas, Carlie J. Idoine - Gartner

The BI market has shifted to more user-driven, agile development of visual, interactive dashboards with data from a broader range of sources. Data and analytics leaders should augment or upgrade traditional BI platforms to modern platforms that improve business value and speed time to insight.

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