13/03/2024
📢 Call for participation in our companies' survey on assessing the ICT skills gap in the Data Analytics and Machine Learning fields! 📊
✨ Does your company operate in Greece, Italy, Sweden, or Turkey and utilise Data Analytics and/or Machine Learning techniques in its operations?
✨ Would you like to play a pivotal role in bridging the skills gap between the demand (ICT labour market) and the supply (candidates) perspectives, in the fields of Data Analytics and Machine Learning?
✨ Would you like to join us in empowering prospective candidates with skills and competencies highly sought after in the ICT labour market, in the fields of Data Analytics and Machine Learning?
🎉 If you answered yes to the above questions, we need your expertise and insights!
📋 We would like to invite you to participate in our survey titled:
"Assessing the ICT Skills Gap in the Data Analytics and Machine Learning fields from the companies perspective"
📈 With your input, we seek to:
💡 Gain a deeper understanding of the current state of the ICT labour market in the consortium countries
💡 Identify the most pressing ICT skills shortages in the fields of Data Analytics and Machine Learning
💡 Develop a targeted and relevant curriculum that meets the needs of both learners and the labour market.
📢 Make an Impact! We would like your input on:
🔧 The general (methodologies and techniques, e.g. Regression Analysis, Natural Language Processing (NLP), Agent-Based Modeling, Optimisation, etc.) and the specific (languages and technologies, e.g. Python, R, Scikit-learn, TensorFlow, Tableau, SQL, Hadoop, etc.) skills most commonly used in your company, in the fields of DA/ML. In other words, a listing of the most frequently encountered skills and competencies in your DA/ML job postings. This will help us include the most in-demand skills in our courses.
💼 A listing of some of the most frequently encountered use-case scenarios (e.g. Customer Segmentation and Targeted Marketing, Fraud Detection and Prevention, Personalised Healthcare Recommendations, etc.), within your company, in the fields of DA/ML. This will help us develop hands-on activities that will be more realistic and more relevant to the labour market, to include in our courses.
🎯 Your input will directly shape the development of our courses to make them more targeted, relevant, and effective, thus contributing to bridging the skills gap and widening the pool of prospective candidates for the ICT labour market, in the fields of Data Analytics and Machine Learning.
🌐 Why Participate?
🌱 Shape the development of high-impact educational content
🌱 Connect with a pool of high-performing students
🌱 Join a dynamic community dedicated to driving innovation in Data Analytics and Machine Learning
🎉 Thank you for your commitment to advancing the field of Data Analytics and Machine Learning. For more information please visit LEAP's website: https://www.leaperasmusplus.eu/ or contact us at [email protected].
