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9 Careers You Could Go into With a Data Science Degree

Smart Data Collective

The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications. Business Intelligence Developer. Data Analyst.

Algorithm 360
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What is a data engineer? An analytics role in high demand

CIO

This IT role requires a significant set of technical skills, including deep knowledge of SQL database design and multiple programming languages. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.

Knowledge 508
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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

Answers comes with semantically relevant information, citing the knowledge sources used to craft the answers, the company said. Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, Enterprise Applications

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What is data science? Transforming data into value

CIO

Candidates with a statistics background are popular, especially if they can demonstrate they know whether they are looking at real results; have domain knowledge to put results in context; and communication skills that allow them to convey results to business users.

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The AI continuum

CIO

That decade has given us newfound ways to use AI—from apps that know what you’ll type next, to cars that drive themselves and algorithms for scientific breakthroughs. Model sizes: Uses algorithmic and statistical methods rather than neural network models. It’s the culmination of a decade of work on deep learning AI.

Algorithm 421
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What is a data scientist? A key data analytics role and a lucrative career

CIO

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. It requires being selfless, embracing feedback, and sharing knowledge with your team, says Chen.

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Climate tech opportunities for IT pros

CIO

This is where machine learning algorithms become indispensable for tasks such as predicting energy loads or modeling climate patterns. Skills in Python, R, TensorFlow, and Apache Spark enable professionals to build predictive models for energy usage, optimize resource allocation, and analyze environmental impacts.

IT 195