Remove 2025 Remove Exploratory Data Analysis Remove Python
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Winter Hackathon 2025 – Team DataDivas

Women in Big Data

The Winter Hackathon Challenge 2025 This year’s competition was powered by the WiDS Datathon Global Challenge and developed in partnership with the Ann S. As a DataCamp Donates team, all of our members were relatively new to the fields of data and Machine Learning, although some had prior experience in coding.

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How to Work Smarter, Not Harder, with Artificial Intelligence

Flipboard

Tina Huang breaks down the core competencies that every aspiring AI professional needs to succeed, from mastering foundational programming languages like Python to understanding the ethical implications of AI-driven systems. Key languages include: Python: Known for its simplicity and versatility, Python is the most widely used language in AI.

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

Summary: In 2025, data scientists in India will be vital for data-driven decision-making across industries. It highlights the growing opportunities and challenges in India’s dynamic data science landscape. Data quality issues are common in Indian datasets, so cleaning and preprocessing are critical.

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Best Colleges for Data Science Course Online in India

Pickl AI

As per the recent report by Nasscom and Zynga, the number of data science jobs in India is set to grow from 2,720 in 2018 to 16,500 by 2025. Top 5 Colleges to Learn Data Science (Online Platforms) 1. Data Science Course If you are looking for one of the best Data Science courses in India on an online forum, then Pickl.AI

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Data Scientists in the Age of AI Agents and AutoML

Towards AI

Last Updated on January 22, 2025 by Editorial Team Author(s): Edoardo De Nigris Originally published on Towards AI. In this article i will give my 2 cents on what I think its useful to focus on to be a strong candidate from 2025 onward. Coding skills remain important, but the real value of data scientists today is shifting.

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Beyond Pandas: The Modern Data Processing Toolkit for Data Engineering (Part 1)

Towards AI

Last Updated on May 8, 2025 by Editorial Team Author(s): Gift Ojeabulu Originally published on Towards AI. Its easy to use, widely adopted, and well-supported within the Python ecosystem. Unless you have very specific performance needs, Pandas will efficiently handle tasks like quick exploratory analysis and visualizations.