Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: VCJ639
8 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of NumPy, data analysts waste an average of 40% of their time on basic array and matrix manipulations instead of generating actionable insights.

  • This translates into cumulative project delays of 15 days per quarter and error costs estimated at 8,000 € annually for a standard team.

  • 65% of failed analysis incidents stem from improper use of vectorized tools, exposing the company to erroneous decisions and market share losses.

  • Every month without these essential skills undermines your competitiveness and professional advancement against agile competitors.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

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

NumPy for Data Analysis in Python training objectives

  • Understand the role and importance of NumPy in scientific and technical data analysis.
  • Master the manipulation of arrays (ndarray): creation, indexing, slicing, and modification.
  • Perform basic and advanced mathematical operations on NumPy arrays.
  • Manage broadcasting operations and vectorization.
  • Apply NumPy for data import/export and integration with other libraries (Pandas, Matplotlib).
  • Identify and prevent common errors in using NumPy.

NumPy for Data Analysis in Python curriculum: 3 modules over 3 days

Module 1 : Introduction to NumPy and Basic Array Manipulation

Presentation of NumPy, installation and work environment, understanding ndarray objects, creation and initialization of arrays; data types, array properties; reading/writing simple arrays. Practical exercises: manipulations, selection, indexing, slicing.

Module 2 : Numerical Operations and Useful Functions

Elementary arithmetic operations, universal functions (ufunc), aggregation functions (max, min, mean, etc.), basic statistics, use of advanced mathematical functions (trigonometry, exponentials, logarithms). Introduction to vectorization and broadcasting. Guided exercises on manipulation and vectorized computation.

Module 3 : Advanced Applications and NumPy Integration

Generation of random data (np.random), axis and dimension management, reshaping arrays (reshape, ravel, flatten). Data import/export (txt, csv), masking (masked arrays), handling missing data, interoperability with Pandas and Matplotlib. Practical case study on analyzing a real dataset. Corrections for common errors and best practices.

How NumPy for Data Analysis in Python skills are assessed

  • Interactive MCQ at the end of the training to validate learning outcomes
  • Correction of practical exercises at the end of each module
  • Completion of a mini data analysis with presentation and feedback

How the NumPy for Data Analysis in Python course is taught

  • Interactive courses and live demonstrations
  • Numerous graded application exercises
  • Case studies on real datasets
  • Digital course materials and supplementary resources provided

NumPy for Data Analysis in Python training: access and practical arrangements

The Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice 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: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice 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: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice 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

How Learni guarantees the quality of your NumPy for Data Analysis in Python training

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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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

NumPy for Data Analysis in Python: frequently asked questions

What can participants do after Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice training?+
They can understand the role and importance of NumPy in scientific and technical data analysis, master the manipulation of arrays (ndarray): creation, indexing, slicing, and modification and perform basic and advanced mathematical operations on NumPy arrays. Those are the stated objectives of the Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice program at Beginner level, checked by the end-of-session assessment.
What does the Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice program cover, day by day?+
Day 1: Introduction to NumPy and Basic Array Manipulation. Day 2: Numerical Operations and Useful Functions. Day 3: Advanced Applications and NumPy Integration. The Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice program runs over 3 days, delivered on site.
How is Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice training assessed?+
Assessment relies on interactive MCQ at the end of the training to validate learning outcomes, correction of practical exercises at the end of each module and completion of a mini data analysis with presentation and feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice program, which an L&D team can file as evidence.
How much does Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice training cost per participant?+
Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice 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 Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice 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 Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice training?+
Basic knowledge of Python (variables, loops, functions).
Is a certificate issued after Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice 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.
Does Learni provide the equipment for Training: Mastering NumPy for Data Analysis in Python: Fundamentals and Practice training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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