Fast-Track Data Scientist Training Course | RBDR

May 16, 2017. Today on RBDR:

1) A data science career-enhancement program has been rolled out by Springboard. Springboard’s “Data Science Career Track” is an intensive, 1:1, part-time course and guarantees a data science position within six months of completion.

2) Credit Suisse analyst Omar Sheikh issues a report that projects a $100 billion increase in television ad spending by 2030 thanks to data-driven targeting.

This week’s RBDR is sponsored by RFL Video Testimonial Service, bringing a research agency/vendor’s happy and loyal customers to life. Using our 23 years of experience in dealing with research agencies of all shapes and sizes–and based on your specific input concerning subject matter you would like your customer to speak about – we will discuss your company with your chosen customer in a video testimonial. It takes about one week, at a cost that is well affordable. Post it on your website and use it for other everyday and special promotional purposes.

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The mystery of algorithms, except for data scientists. Nielsen phasing out TV paper diaries. (RBDR 09.19.2016)

Today on RBDR:

1) None of us, aside from Data Scientists, understand the algorithms they use and which ones they use.

2) Nielsen announces that it will do away with TV paper diaries in 2017 and, for good, in 2018.

RBDR is sponsored by Survey Sampling, the premier global provider of data solutions for mobile, consumer and business-to-business survey research. Survey Sampling Director of Global Knowledge, Pete Cape, has composed a White Paper. “Benefits and Challenges for Today’s Online B2B Research Methodology” is a valuable document for people who know next to nothing about Business to Business surveys. Read it by clicking here.

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Analytic questions a corp must ask itself. Mkters can’t understand customers. (RBDR 3.11.2015)

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Sponsored by Dapresy, which helps clients automate the deployment of InfoGraphics-based dashboards that clearly communicate complex data.

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Today on RBDR: 1) Corporations are curious and, simultaneously, confused about what to do about analytics, its implementation and how it actually would benefit the business. 2) A study investigates whether marketing managers can effectively step in the shoes of their customers. It concludes that basically they can not, except when those managers are advised about biases they need to take into account.