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15 best data science bootcamps for boosting your career

CIO Business Intelligence

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup.

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4 imperatives for making business intelligence work

O'Reilly on Data

Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. They recognize the instrumental role data plays in creating value and see information as the lifeblood of the organization. That’s why decision-makers consider business intelligence their top technology priority.

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Hybrid Data Cloud Success for State and Local Governments

Cloudera

The benefits are clear: The private cloud environment allows agencies to host workloads that have unique regulatory, security, or performance requirements, while leveraging a public cloud to deploy elastic and specialized workloads that require cloud-native capabilities, such as artificial intelligence, machine learning, and edge computing. .

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

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Data Governance and Strategy for the Global Enterprise

Cloudera

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. Deliver use cases to market.

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Career Transition to Tech and Supporting Women in Tech: TDI 37

Data Science 101

What type of data science work did you do? I was definitely more in the analytics space than I ever was the data science space specifically. There’s a whole host of research out there about how much higher the bar often has to be for women to be promoted than men. I did mine through UCSD Extension.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Let’s look through some antidotes. Machine learning model interpretability. Ergo, less interpretable.