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Big Data vs. Data Science: Demystifying the Buzzwords

Pickl AI

Summary: Big Data refers to the vast volumes of structured and unstructured data generated at high speed, requiring specialized tools for storage and processing. Data Science, on the other hand, uses scientific methods and algorithms to analyses this data, extract insights, and inform decisions.

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How To Learn Python For Data Science?

Pickl AI

You can create a new environment for your Data Science projects, ensuring that dependencies do not conflict. Jupyter Notebook is another vital tool for Data Science. It allows you to create and share live code, equations, visualisations, and narrative text documents.

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7 Things Data-Driven Healthcare Providers Must Consider with ePCRs

Smart Data Collective

Big data is changing the future of the healthcare industry. Healthcare providers are projected to spend over $58 billion on big data analytics by 2028. Healthcare organizations benefit from collecting greater amounts of data on their patients and service partners. However, data management is just as important.

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Speed up Your ML Projects With Spark

Towards AI

As a Python user, I find the {pySpark} library super handy for leveraging Spark’s capacity to speed up data processing in machine learning projects. But here is a problem: While pySpark syntax is straightforward and very easy to follow, it can be readily confused with other common libraries for data wrangling. Let’s get started.

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How do you make self-service data analysis work for your organization?

Alation

There has been an explosion of data, from social and mobile data to big data, that is fueling new ways to understand and improve customer experience. Davis will discuss how data wrangling makes the self-service analytics process more productive. We are entering an era of self-service analytics.

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Training Sessions Coming to ODSC APAC 2023

ODSC - Open Data Science

Big Data Analysis with PySpark Bharti Motwani | Associate Professor | University of Maryland, USA Ideal for business analysts, this session will provide practical examples of how to use PySpark to solve business problems. Finally, you’ll discuss a stack that offers an improved UX that frees up time for tasks that matter.

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Introduction to R Programming For Data Science

Pickl AI

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling.