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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training IoT Analytics: Mastering Data Analysis for Connected Objects training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training IoT Analytics: Mastering Data Analysis for Connected Objects training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training IoT Analytics: Mastering Data Analysis for Connected Objects training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
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Overview of IoT architectures, communication protocols (MQTT, CoAP...), sensor typology, nature of collected data (time series, volume, frequencies, noise). Requirements and constraints related to IoT data in terms of backup, security, and confidentiality. Introduction to real-time data streams vs batch data.
Common formats (JSON, CSV, Parquet...), suitable databases (TimeSeries DB, NoSQL, Cloud), streaming ingestion, data cleaning and normalization, handling missing and noisy data. Use of cloud platforms (AWS IoT Analytics, Azure IoT Hub, Google IoT Core).
Exploration of descriptive, predictive, and prescriptive analytics: correlation, anomaly detection, predictive maintenance. Introduction to Machine Learning applied to IoT (classification, clustering, time series). Hands-on practice with open-source tools (Python Pandas, Scikit-learn, Grafana, Power BI). Development of interactive dashboards for presenting results.
Target audience
Engineers, data analysts, IoT project managers, IT professionals wishing to exploit data generated by connected objects
Prerequisites
Basic knowledge of networks and data analysis, prior IoT experience desirable
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