BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Africa/Algiers BEGIN:STANDARD DTSTART:19810501T010000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260724T031959Z UID:2C90B299-2BDE-41A0-9FA0-AC54435B27E4 DTSTART;TZID=Africa/Algiers:20260916T120000 DTEND;TZID=Africa/Algiers:20260918T170000 DESCRIPTION:Python has become one of the most widely used programming langu ages for industrial data analysis due to its simplicity\, powerful librari es\, and extensive applications in automation\, manufacturing\, energy sys tems\, robotics\, and smart industries. This session introduces participan ts to the fundamentals of Python programming and demonstrates how it can b e used to collect\, clean\, visualize\, and analyze industrial data for be tter decision-making.\n\nParticipants will learn how to work with real-wor ld datasets generated from industrial sensors\, Internet of Things (IoT) d evices\, production lines\, and control systems. The workshop will cover e ssential Python libraries such as NumPy for numerical computing\, Pandas f or data manipulation\, Matplotlib and Plotly for data visualization\, and Scikit-learn for basic machine learning applications. Practical examples w ill include predictive maintenance\, equipment performance monitoring\, qu ality control\, energy consumption analysis\, and anomaly detection.\n\nTh rough hands-on exercises\, attendees will gain practical skills in importi ng datasets\, preprocessing data\, performing exploratory data analysis\, creating interactive dashboards\, and developing simple predictive models that support industrial decision-making.\n\nBldg: Electrical and Electroni cs department\, SKILL G \, Enugu\, Enugu\, Nigeria LOCATION:Bldg: Electrical and Electronics department\, SKILL G \, Enugu\, E nugu\, Nigeria ORGANIZER:astronicpoint@gmail.com SEQUENCE:38 SUMMARY:Python for Industrial Data Analytics URL;VALUE=URI:https://events.vtools.ieee.org/m/569282 X-ALT-DESC:Description: <br /><p class="PDq2pG_selectionAnchorContainer" da ta-start="63" data-end="508">Python has become one of the most widely used programming languages for industrial data analysis due to its simplicity\ , powerful libraries\, and extensive applications in automation\, manufact uring\, energy systems\, robotics\, and smart industries. This session int roduces participants to the fundamentals of Python programming and demonst rates how it can be used to collect\, clean\, visualize\, and analyze indu strial data for better decision-making.</p>\n<p data-start="510" data-end= "1081">Participants will learn how to work with real-world datasets genera ted from industrial sensors\, Internet of Things (IoT) devices\, productio n lines\, and control systems. The workshop will cover essential Python li braries such as <strong data-start="738" data-end="747">NumPy</strong> for numerical computing\, <strong data-start="773" data-end="783">Pandas</str ong> for data manipulation\, <strong data-start="807" data-end="821">Matpl otlib</strong> and <strong data-start="826" data-end="836">Plotly</strong> for data visualization\, and <strong data-start="865" data-end="881">Scik it-learn</strong> for basic machine learning applications. Practical examp les will include predictive maintenance\, equipment performance monitoring \, quality control\, energy consumption analysis\, and anomaly detection.< /p>\n<p data-start="1083" data-end="1342">Through hands-on exercises\, att endees will gain practical skills in importing datasets\, preprocessing da ta\, performing exploratory data analysis\, creating interactive dashboard s\, and developing simple predictive models that support industrial decisi on-making.</p>\n<p data-start="1083" data-end="1342">&nbsp\;</p>\n<p data- start="1083" data-end="1342"><img src="https://events.vtools.ieee.org/vtoo ls_ui/media/display/53241756-3b6a-4985-b95b-a6548100069c"></p> END:VEVENT END:VCALENDAR