← Back Explore the Data analysis & BI category

Training IoT Analytics: Mastering Data Analysis for Connected Objects

Course created on July 27, 2026Updated on October 5, 2026

On quote

3 days
Onsite
8 people max.

Request a quote See the program

Ref: QGK803

8 people max.

On quote

In-company rate: on quote

On-site and certification exam on quote

3 days

Onsite

Don't let this gap widen

Why this program matters

Without mastery of IoT data analysis, your connected objects produce massive volumes of unexploited data, paralyzing strategic decision-making.
Companies lose an average of 1,2 million euros per year in missed opportunities and maintenance costs due to faulty analyses, according to Gartner studies.
75% of IoT projects fail due to lack of analytical expertise, exposing your team to critical security incidents and your career to rapid obsolescence.
Each month without advanced skills, the risk of GDPR non-compliance rises by 25%, with fines that can reach 4% of revenue.

Trusted by — schools, companies and industrial groups

25,649 programs · 25 countries

Every program built with a dedicated engineer

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Learning objectives

Understand the specifics of data from IoT
Master IoT data collection and storage architectures
Use analytical tools suited to large volumes of data
Deploy Machine Learning models for IoT
Visualize and interpret results for decision-making

Program

Module 1IoT Fundamentals and Data Typology

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.

Module 2IoT Data Storage, Ingestion, and Preparation

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).

Module 3Advanced Analysis, Machine Learning, and Visualization

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.

Evaluation method

Case study at the end of the course, based on an IoT dataset
Daily practical workshop with group presentation
Final MCQ to validate learning outcomes

Learning method

Alternation of theory and practical workshops with real datasets
Sectoral case studies (industry, smart city, health...)
Access to detailed course materials and step-by-step guides

Methods, materials and delivery

The Training IoT Analytics: Mastering Data Analysis for Connected Objects program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training IoT Analytics: Mastering Data Analysis for Connected Objects program, the following equipment is required:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, hands-on exercises and complementary resources
Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training IoT Analytics: Mastering Data Analysis for Connected Objects program is performed through:

During training: case studies, hands-on labs and professional scenarios
End of training: self-assessment questionnaire and skills evaluation by the trainer
After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

Triple validation: technical, pedagogical, sectoral.
Minimum rating 4.8/5 over the last 12 sessions.

Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

Live briefing on goals and team context.
Veto right — we swap the trainer for free if needed.

Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

Hands-on cases drawn from your stack and projects.
Program co-written then validated by your team.

Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

NPS, knowledge quizzes and skills self-assessment.
Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

A child walking to school with a backpack

Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

Backpack, notebooks and essential supplies
Distributed through our partner charities
Included, at no extra cost to you

Enroll and offer a kit

FAQ

Frequently asked questions

What can participants do after IoT Analytics: Mastering Data Analysis for Connected Objects training?+

They can understand the specifics of data from IoT, master IoT data collection and storage architectures and use analytical tools suited to large volumes of data. Those are the stated objectives of the IoT Analytics: Mastering Data Analysis for Connected Objects program at Advanced level, checked by the end-of-session assessment.

What does the IoT Analytics: Mastering Data Analysis for Connected Objects program cover, day by day?+

Day 1: IoT Fundamentals and Data Typology. Day 2: IoT Data Storage, Ingestion, and Preparation. Day 3: Advanced Analysis, Machine Learning, and Visualization. The IoT Analytics: Mastering Data Analysis for Connected Objects program runs over 3 days, delivered on site.

How is IoT Analytics: Mastering Data Analysis for Connected Objects training assessed?+

Assessment relies on case study at the end of the course, based on an IoT dataset, daily practical workshop with group presentation and final MCQ to validate learning outcomes. Learni issues a completion certificate together with the individual assessment report at the end of the IoT Analytics: Mastering Data Analysis for Connected Objects program, which an L&D team can file as evidence.

How much does IoT Analytics: Mastering Data Analysis for Connected Objects training cost per participant?+

IoT Analytics: Mastering Data Analysis for Connected Objects training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.

How long does IoT Analytics: Mastering Data Analysis for Connected Objects training take?+

3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.

Who pays for IoT Analytics: Mastering Data Analysis for Connected Objects training?+

Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.

What do participants need to know before IoT Analytics: Mastering Data Analysis for Connected Objects training?+

Basic knowledge of networks and data analysis, prior IoT experience desirable.

Is a certificate issued after IoT Analytics: Mastering Data Analysis for Connected Objects training?+

Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.

Does Learni provide the equipment for IoT Analytics: Mastering Data Analysis for Connected Objects training?+

No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.

Your professional training, anywhere