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Training NumPy - Mastering arrays for professional data science

Ref: VMJ660
10 people max.
From $4,620 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
4 days
Remote

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Learning objectives

  • Master NumPy arrays for fast professional calculations
  • Develop skills in manipulating multidimensional data
  • Implement vectorized operations for professional, certified use
  • Design efficient scientific analyses with NumPy
  • Optimize Python script performance for data science
  • Integrate NumPy into real professional projects

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 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.

Kheireddin KADRI
Kheireddin KADRI

Learni trainer · Data & AI expert

73%productivity gap
×3cost of inaction

Program

Module 1NumPy Fundamentals: Installation and Array Creation (Anaconda, ndarrays, dtype)

Quick installation of the Anaconda environment and first professional NumPy project, creation of one-dimensional and multidimensional arrays with data type specification, exploration of shape, size, and ndim attributes through practical exercises on real datasets, basic array manipulation via slicing and boolean indexing, production of a first simple analysis script with result visualization to immediately consolidate learning.

Module 2NumPy Operations: Arithmetic and Broadcasting (Vectorized Operations, ufuncs)

Application of element-wise arithmetic operations on large arrays without slow Python loops, mastery of broadcasting to automatically align dimensions during complex calculations, use of universal functions (ufuncs) like sin, exp, and log on scientific datasets, practical exercises on image or signal processing, development of a reusable enterprise module with performance tests before/after vectorization.

Module 3Advanced NumPy Manipulation: Indexing and Linear Functions (Fancy Indexing, linspace)

Advanced indexing techniques with boolean arrays and fancy indexing to efficiently extract data subsets, generation of regular grids using linspace, meshgrid, and arange for mathematical modeling, implementation of linear transformations and descriptive statistics on real matrices, practical cases from enterprise data science such as noisy data filtering, creation of an ongoing project deliverable with complete documentation.

Module 4NumPy Applications: Data Science Integration and Optimization (random, File Saving)

Generation of random data with numpy.random for robust simulations and tests, saving and loading arrays via np.save and np.load for professional workflows, integration of NumPy with Pandas for hybrid enterprise analyses, code optimization through profiling and advanced vectorization, finalization of the ongoing project on a concrete data analysis case, performance evaluation, and action plan for certified deployment.

Evaluation method

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical NumPy exercises
  • Defense of the ongoing data science project

Learning method

  • Courses led by an active expert data science trainer
  • Practical exercises on real enterprise datasets
  • Progressive NumPy ongoing project over 4 days
  • Complete course materials and Jupyter notebooks provided

Methods, materials and delivery

The Training NumPy - Mastering arrays for professional data science 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 NumPy - Mastering arrays for professional data science 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 NumPy - Mastering arrays for professional data science 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.

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.

FAQ

Frequently asked questions

How much does the Training NumPy - Mastering arrays for professional data science training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Training NumPy - Mastering arrays for professional data science 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?+
Python basics: variables, lists, loops, functions
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.
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

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