Remove Data Modeling Remove Data Preparation Remove Data Visualization
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Data science revolution 101 – Unleashing the power of data in the digital age

Data Science Dojo

The primary aim is to make sense of the vast amounts of data generated daily by combining statistical analysis, programming, and data visualization. It is divided into three primary areas: data preparation, data modeling, and data visualization.

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Empower your career – Discover the 10 essential skills to excel as a data scientist in 2023

Data Science Dojo

These skills include programming languages such as Python and R, statistics and probability, machine learning, data visualization, and data modeling. This includes sourcing, gathering, arranging, processing, and modeling data, as well as being able to analyze large volumes of structured or unstructured data.

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Transform your data into insights: The data analyst’s guide to Power BI

Data Science Dojo

Data is an essential component of any business, and it is the role of a data analyst to make sense of it all. Power BI is a powerful data visualization tool that helps them turn raw data into meaningful insights and actionable decisions. Check out this course and learn Power BI today!

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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

This feature helps automate many parts of the data preparation and data model development process. This significantly reduces the amount of time needed to engage in data science tasks. A text analytics interface that helps derive actionable insights from unstructured data sets.

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Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler

AWS Machine Learning Blog

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. We are happy to announce that SageMaker Data Wrangler now supports using Lake Formation with Amazon EMR to provide this fine-grained data access restriction.

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

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How can Data Scientists use ChatGPT for developing Machine Learning Models

Pickl AI

Learn how Data Scientists use ChatGPT, a potent OpenAI language model, to improve their operations. ChatGPT is essential in the domains of natural language processing, modeling, data analysis, data cleaning, and data visualization. This will enhance the data preparation stage of machine learning.