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Journeying into the realms of ML engineers and data scientists

Dataconomy

They employ statistical and mathematical techniques to uncover patterns, trends, and relationships within the data. Data scientists possess a deep understanding of statistical modeling, data visualization, and exploratory data analysis to derive actionable insights and drive business decisions.

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40 Must-Know Data Science Skills and Frameworks for 2023

ODSC - Open Data Science

Analytics and Data Analysis Coming in as the 4th most sought-after skill is data analytics, as many data scientists will be expected to do some analysis in their careers. This doesn’t mean anything too complicated, but could range from basic Excel work to more advanced reporting to be used for data visualization later on.

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

By analyzing datasets, data scientists can better understand their potential use in an algorithm or machine learning model. The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data.

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Five benefits of a data catalog

IBM Journey to AI blog

Let’s look at five benefits of an enterprise data catalog and how they make Alex’s workflow more efficient and her data-driven analysis more informed and relevant. A data catalog replaces tedious request and data-wrangling processes with a fast and seamless user experience to manage and access data products.

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Announcing the ODSC West 2023 Preliminary Schedule

ODSC - Open Data Science

Monday’s sessions will cover a wide range of topics, from Generative AI and LLMs to MLOps and Data Visualization. Day 1: Monday, October 30th (Bootcamp, VIP, Platinum) Day 1 of ODSC West 2023 will feature our hands-on training sessions, workshops, and tutorials and will be open to Platinum, Bootcamp, and VIP pass holders.