Data Science in the Mining Industry | The Secrets of Data in Mining

DataCamp · Intermediate ·📐 ML Fundamentals ·2y ago
Data is everywhere, including the mining industry! To achieve data science success, it's essential to understand how data relates to the business challenges. In this webinar, Anton Abrarov, the Head of AI & Data Science at Norilsk Nickel, explains how data is used to solve technical and business problems at his company and in the broader mining industry. You'll gain an understanding of where data can be used to add value in the mining industry, along with some practicable tips for increasing the success of data science projects. Key Takeaways: - Learn about best practices for using data in the mining industry. - Learn how to ​​get return on investment from mining industry data projects. - Learn how to set-up a profitable data team to deal with these projects. Slides: https://bit.ly/3TYOg3u [WEBINAR] This webinar, but for the energy industry: Data Science in the Energy Industry https://bit.ly/48ztX0R [COURSE] Analyzing IoT Data in Python: https://bit.ly/4b22Vki [PROJECT] Evaluate a Manufacturing Process using SQL: https://bit.ly/3U2aEsE [COURSE] Deep Learning for Images with PyTorch: https://bit.ly/3O3ljQ4 [WEBINAR] AI for Visual Data: Computer Vision in Business: https://bit.ly/3Hl4iwS
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