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Autor Tópico: Data Science Career - The Analytics Translator  (Lida 112 vezes)

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Data Science Career - The Analytics Translator
« em: 06 de Abril de 2021, 14:55 »

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 47 lectures (2h 53m) | Size: 2.7 GB
An analytics business translator career starts with bridging data science, enterprise IT, and the business domain.

What you'll learn:
A better understanding of the role analytics translator and the link between Business, Analytics, and IT
The content should illuminate the difference to data science and the challenges within the job role of an analytics translator.
Support your personalized curriculum of the learning journey by a better understanding the connected terminology between multiple subjects.

Requirements
Open to learn and hear aspects from other domains
Self-learning capabilities and endurance to learn the full picture
Critical rethinking capabilities on pre-defined learning journeys and simple answers.

Description
The role of analytics translator is not well defined, yet, an exciting, challenging, and emerging role for a future job profile.

Each learning path is different, and multiple topics and skills contribute to this job role. The content should illuminate the difference between data science and the vast learning possibilities within the job role of an analytics translator.

Thus the goal is to drive your personalized curriculum of the learning journey by a better understanding the connected terminology between other subjects.

The mission of the lecture: judge better on your analytics translator learning journey.

Analytics translators have the vital goal of integrating analytics capabilities in a company.

They identify value cases for the business that analytics can help solve.

Lead or support data science and IT teams in developing data-driven solutions to these problems.

They ensure the usage within business operations.

The top domains for an analytics translater are fluent speaking and understanding of business know-how, IT constraints, and analytics understanding.

Typically it is not possible to learn or to know all relevant topics. The most classical profile is a T-profile, which means one is educated or an expert in one domain and understands other domains' issues.

The lecture addresses 15 different key capabilities that fall into the class of analytics, business, and IT know-how.

Who this course is for
Every person who is interested in the role of an analytics translator.
Students during their studies hearing the 'analytics translator' role and want to know more
Persons moving into this job role
Persons in organizations launching business analytics teams and respective roles


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