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.
Trusted by — schools, companies and industrial groups
Learning objectives
- Master advanced DataFrames and Series
- Clean and transform massive datasets
- Perform analyses with groupby and pivot_table
- Optimize Pandas performance for large volumes
- Integrate Pandas with Matplotlib and Seaborn
- Manage missing data and outliers
- Produce actionable automated reports
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.
Don't let this gap widen
Why this program matters
Without intermediate Pandas skills, waste 30% of time on data cleaning, common errors bias 25% of analyses leading to wrong decisions costing up to 10k€ per project.
Junior data analysts stagnate, overwhelmed by competitors 2x more productive.
Miss promotions: 40% of data scientists advance via Pandas mastery.
Massive datasets block your pipelines, frustrating teams and clients.
Invest 28h to multiply ROI x5, avoid overruns and obsolescence.
Program
Module 1Advanced DataFrame Manipulation: import, filtering, selection (read_csv, loc, iloc)
Import various data with pandas.read_csv and read_excel on real datasets, practice precise filtering via loc and iloc, merge tables with merge and concat, concrete exercises on e-commerce logs, create your first optimized DataFrames to boost productivity from day 1.
Module 2Cleaning and Transformation: apply, lambda, missing data (fillna, dropna)
Handle missing values with fillna and dropna on real sales cases, apply custom functions via apply and lambda to transform columns, normalize and encode categorical variables, interactive exercises on customer datasets, produce clean datasets ready for analysis.
Module 3In-Depth Analysis: groupby, pivot_table, advanced aggregations
Segment your data with groupby for statistical calculations by groups, pivot with pivot_table on real marketing data, aggregate with agg and transform, visualize trends immediately, practical cases on business KPIs, generate actionable insights that will impress your teams.
Module 4Optimization and Visualization: performance, Matplotlib integration (to_csv, plot)
Accelerate Pandas on large volumes with vectorization and chunks, integrate Matplotlib for professional graphs via plot and seaborn, export to CSV or Excel, final project on real large dataset, deliverables: optimized scripts and visual reports, ready to deploy in production.
Evaluation method
- Daily quizzes, practical exercises, certified final project.
Learning method
- 70% hands-on with real cases, 30% applied theory.
Methods, materials and delivery
The Pandas Training - Master Advanced Python Data Analysis 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 Pandas Training - Master Advanced Python Data Analysis 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 Pandas Training - Master Advanced Python Data Analysis 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.
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.
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.
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.
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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FAQ
Frequently asked questions
How much does the Pandas Training - Master Advanced Python Data Analysis training cost?+
The individual price is $4,620, and the team / on-site price is $11,550 (USD). A detailed quote is sent within one business day.
How long is the Pandas Training - Master Advanced Python Data Analysis training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python basics, basic knowledge of NumPy and Pandas.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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