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Training Pandas - Master Data Analysis in Python

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

On quote

3 days
Onsite
10 people max.

Request a quote See the program

Ref: VHN762

10 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 intermediate mastery of Pandas, you lose 40% of time on data cleaning, multiplying errors by 3 according to Gartner, costing an average of 15 000€ per failed BI project.
Your analyses remain basic, missing 25% of key insights on large volumes, hindering promotions and ROI.
Poorly merged DataFrames generate false reports, exposing you to costly wrong decisions (ex: 50k€ unsold stock).
In 3 days, avoid these pitfalls, gain 2x speed and reliability to excel in data.

Trusted by — schools, companies and industrial groups

25,651 programs · 25 countries

Every program built with a dedicated engineer

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

Learning objectives

Efficiently manipulate DataFrames with advanced indexing
Clean and transform complex datasets
Perform optimized merges and joins
Analyze data with groupby and pivot
Integrate Pandas with Matplotlib visualization
Optimize performance for large volumes
Produce actionable automated reports

Program

Module 1Pandas Manipulation: Advanced DataFrames, indexing, selection (slicing tools, loc/iloc, methods)

Dive into Pandas DataFrames by practicing multi-level indexing, conditional selections with loc and iloc, discover vectorized operations on large real datasets from Kaggle, complete interactive exercises to filter and sort millions of rows in seconds, produce your first optimized scripts ready to integrate into your data projects.

Module 2Cleaning and transformation: merges, groupby, pivot (apply, agg methods, missing data handling tools)

Transform dirty data into pure gold by applying smart merges on multiple datasets, clean missing values with fillna and interpolate on real e-commerce cases, master groupby for powerful aggregations, pivot tables with pivot_table during practical workshops, generate reproducible pipelines that boost your productivity from tomorrow.

Module 3Pandas Analysis and Optimization: performance, visualization, automation (optimized read_csv tools, reports)

Scale up with optimization techniques to load and process 1 GB of data in minutes, integrate Pandas with Matplotlib for quick insight graphs on real business exercises, automate complete reports via loops and custom functions, test on finance and marketing use cases, leave with a portfolio of scripts ready for production deployment.

Evaluation method

Continuous evaluation through practical exercises, thematic quizzes, and final project on real dataset

Learning method

70% hands-on with real cases, 30% theory, small group workshops

Methods, materials and delivery

The Training Pandas - Master Data Analysis in Python 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 Pandas - Master Data Analysis in Python 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 Pandas - Master Data Analysis in Python 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

Which tools are used in Pandas training?+

Hands-on work runs on slicing tools, loc, iloc, methods, apply and agg methods. Those tools come from the Pandas program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.

What can participants do after Pandas training?+

They can efficiently manipulate DataFrames with advanced indexing, clean and transform complex datasets and perform optimized merges and joins. Those are the stated objectives of the Pandas program at Intermediate level, checked by the end-of-session assessment.

What does the Pandas program cover, day by day?+

Day 1: Pandas Manipulation: Advanced DataFrames, indexing, selection (slicing tools, loc/iloc, methods). Day 2: Cleaning and transformation: merges, groupby, pivot (apply, agg methods, missing data handling tools). Day 3: Pandas Analysis and Optimization: performance, visualization, automation (optimized read_csv tools, reports). The Pandas program runs over 3 days, delivered on site.

How is Pandas training assessed?+

Assessment relies on continuous evaluation through practical exercises, thematic quizzes, and final project on real dataset. Learni issues a completion certificate together with the individual assessment report at the end of the Pandas program, which an L&D team can file as evidence.

How much does Pandas training cost per participant?+

Pandas 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 Pandas 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 Pandas 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 Pandas training?+

Basic knowledge of Python, elementary use of Pandas and NumPy.

Is a certificate issued after Pandas 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.

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