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Training Streamlit - Creating Interactive Data Dashboards

Ref: FMZ696
10 people max.
4375€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master Streamlit fundamentals to develop professional data applications
  • Design interactive user interfaces tailored to business needs
  • Implement widgets and dynamic visualizations with Streamlit
  • Integrate real data via pandas and plotly in certified training
  • Deploy optimized Streamlit dashboards for professional use
  • Develop rapid prototyping skills for data projects
  • Optimize Streamlit apps for enterprise scalability

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Streamlit Fundamentals: Installation and First Dashboards (Python, Basic Widgets, Interactive Deliverables)

Quick installation of Streamlit in a professional Python environment, creation of your first data dashboard with display of key metrics via st.write and st.title, manipulation of pandas datasets for instant visualizations, addition of simple widgets like sliders and buttons to interact with data in real time, practical exercises on concrete business analysis cases, production of a functional prototype to export and share immediately.

Module 2Streamlit Widgets: Advanced Interactions (selectbox, multiselect, inputs, User Feedback)

In-depth exploration of Streamlit widgets for dynamic interfaces, implementation of selectbox and multiselect to filter large enterprise datasets, management of text and date inputs for business scenario simulations, seamless connection with pandas DataFrames for live updates, practical workshops on interactive sales dashboards, iterative testing with trainer feedback, delivery of a reusable module to boost your data productivity immediately.

Module 3Streamlit Visualizations: Dynamic Charts (plotly, altair, matplotlib Integration)

Integration of visualization libraries like plotly and Altair in Streamlit for captivating interactive graphs, creation of curves, bars, and heatmaps reacting to widgets in real time, advanced layout customization with columns and sidebars for professional ergonomics, practical cases on real business KPIs, performance optimization for large datasets, development of a complete reporting dashboard, export as demo video to impress colleagues.

Module 4Streamlit State Management: Sessions and Caching (st.session_state, @st.cache_data, Scalability)

Mastery of st.session_state to persist user interactions across multiple pages, implementation of caching with @st.cache_data to accelerate heavy processing on large data volumes, structuring multi-page apps with smooth navigation, workshops on complex business workflows like predictive analysis, live debugging and optimization with the trainer, production of a robust app ready for enterprise deployment, immediate efficiency gains for daily data reports.

Module 5Streamlit Deployment: Production and Sharing (Streamlit Cloud, Docker, App Security)

Preparation for deployment with Streamlit Sharing and Streamlit Cloud for instant enterprise sharing, containerization via Docker for secure professional environments, configuration of secrets and basic authentication, load testing and live app monitoring, finalization of the capstone project with real deployment accessible to all, personalized code review by the expert, delivery of all sources and tutorials for complete post-training autonomy.

Evaluation method

  • Multiple-choice quiz to validate acquired knowledge at the end of the certified training
  • Continuous assessment through practical exercises on real dashboards
  • Presentation of the capstone Streamlit project to the expert trainer

Learning method

  • Courses led by an expert Streamlit trainer in professional practice
  • Practical exercises on authentic business data cases
  • Progressive capstone project to consolidate Streamlit skills
  • Complete course materials and online resources provided to each participant

Methods, materials and delivery

The Training Streamlit - Creating Interactive Data Dashboards program is delivered onsite or remote (blended-learning, e-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 Streamlit - Creating Interactive Data Dashboards 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 Streamlit - Creating Interactive Data Dashboards 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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