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Best Free Resources to Learn Data Analysis and Data Science

KDnuggets

This article introduces six top-notch, free data science resources ideal for aspiring data analysts, data scientists, or anyone aiming to enhance their analytical skills.

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8 In-Demand Data Science Certifications for Career Advancement [2023]

Analytics Vidhya

The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era.

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5 Free Courses to Master Data Science

KDnuggets

Want to break into data science? Start upskilling today with these free courses to learn programming, data analysis, and machine learning.

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26 Data Science Interview Questions You Should Know

KDnuggets

Learn about the most common questions asked during data science interviews. This blog covers non-technical, Python, SQL, statistics, data analysis, and machine learning questions.

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Full stack Data Science Explained

Knowledge Hut

Most organizations are still in the initial stages of learning how to apply data science to gain business benefits and healthy returns. People working as full stack data scientists are responsible for implementing the project from start to finish. What is Data Science? Who Is a Full-Stack Data Scientist?

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Top 10 Data Science Websites to learn More

Knowledge Hut

Being a data scientist means constantly growing, enabling businesses to become more data-propelled, and learning newer trends and tools. There are various excellent resources in data science that can help you to develop your skillset. The easiest way to get started is by taking an online data science bootcamp program.

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KDnuggets News, June 28: 10 ChatGPT Plugins for Data Science Cheat Sheet • The ChatGPT Plugin That Automates Data Analysis

KDnuggets

10 ChatGPT Plugins for Data Science Cheat Sheet • Noteable Plugin: The ChatGPT Plugin That Automates Data Analysis • 3 Ways to Access Claude AI for Free • What are Vector Databases and Why Are They Important for LLMs? • A Data Scientist’s Essential Guide to Exploratory Data Analysis