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Training Pandas - Analyze Your Data Efficiently in Python

Ref: ZFE565
10 people max.
$5,040 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
4 days
Remote

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Learning objectives

  • Install and import Pandas in a Python environment
  • Create and manipulate Series and DataFrames
  • Read and write CSV, Excel, and JSON files
  • Clean and prepare real datasets
  • Perform descriptive statistical analyses
  • Group and aggregate data with GroupBy
  • Visualize insights with integrated Matplotlib

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 Pandas, you lose 40% of time on tedious manual tasks like sorting thousands of Excel rows, multiplying human errors by up to 25% according to Gartner.

  • Your analyses remain superficial, missing crucial insights that boost sales by 15-20% for trained competitors.

  • 70% of junior data job offers require Pandas from 2024, risking to keep you in junior positions or being overtaken by agile profiles.

  • Imagine missing a key project due to a poorly cleaned dataset, costing thousands of euros to your team.

  • Invest now to analyze quickly, decide better, and advance in your career without regrets.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Introduction to Pandas: Basic Series and DataFrames (import tools, essential methods)

Dive into Pandas from the morning by installing Anaconda and Jupyter Notebook, import your first library, create Series from lists and dictionaries, then DataFrames from real data like a sales CSV file. Explore indexes, select columns with loc and iloc, perform your first filters, and end with a practical exercise on an e-commerce dataset to export a cleaned report, gain immediate confidence.

Module 2Advanced DataFrame Manipulation: Cleaning and Transformation (apply, merge methods)

Master cleaning by handling missing values with dropna and fillna on a banking customers dataset, apply custom functions via apply and lambda, merge tables with merge and concat to recreate a complete history, manipulate dates with to_datetime, and carry out a concrete case on web logs to transform raw data into an actionable table, feel the power of Pandas live.

Module 3Analysis and Aggregation: GroupBy and Statistics (pivot tables, correlations)

Move to analysis by grouping sales by region with GroupBy and agg, calculate means, medians, and standard deviations on a marketing dataset, create dynamic pivot tables with pivot_table, explore correlations to detect hidden trends, test on an HR case with salaries and performance, produce quantified insights ready to present, transform your data into impactful business decisions.

Module 4Visualization and Final Project: Matplotlib Integration (charts, simple dashboards)

Conclude by visualizing your analyses with Pandas-Matplotlib plot, generate histograms, bars, and scatters on a health dataset, combine into an interactive dashboard via subplots, integrate Seaborn for pro charts, finalize a complete project on real Kaggle data with a deliverable report, leave with a concrete portfolio and job-ready skills to boost your data career.

Evaluation method

  • Daily interactive quizzes
  • Graded practical exercises
  • Final project with personalized feedback

Learning method

  • Real project-based approach
  • Hands-on exercises in pairs
  • Continuous feedback from the trainer

Methods, materials and delivery

The Training Pandas - Analyze Your Data Efficiently in Python 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 Pandas - Analyze Your Data Efficiently 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 - Analyze Your Data Efficiently 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 eligible for corporate training budgets and employer-funded plans.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« 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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