Training Data analysis e-learning or face-to-face

Search for cause-and-effect relationships & correlations in a data table
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experience plan

Data analysis training

Duration

14h

Rate

250 €Ht/pers
Operator analyzing SPC cards on his control card software during the data analysis training course.

Using statistical tools to understand your data

The Data Analysis training course will help you understand the main statistical tools used to analyze data. Graphical analysis, statistical tests, laws of probability: all these tools will enable you to go further in the analysis of your data and understand what's going on.

At the end of this course, you'll be able to make decisions based on sound analysis. By understanding and exploiting data rigorously, you'll be able to reduce uncertainties, quickly identify anomalies or inefficiencies, and better anticipate trends or adjustment needs. This will lead to better overall performance, increased competitiveness, and improved risk management.

Competitive benefits

Data Analysis training is lively and interactive. Numerous exercises on Ellistat's Data Analysis software will enable you to put theory into practice. The resources and assistance provided by our teams will make it easier for you to assimilate complex concepts.
Successful certification

100%

From a satisfied Ellistat trainee
Training catalog available for Ellistat

21

Training available in e-learning, mix-learning or face-to-face.
Customer satisfaction

99%

Trainees recommend our training courses.
*September 2021 to September 2024
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Objectives

  • Prove the validity of a hypothesis with a statistical test and interpret the result.
  • Understand the use of descriptive and inferential statistics.
  • Know how to use the right statistical test.
  • Understand the difference between simple regression and multiple regression (linear and non-linear).

For whom

Data analysis training is designed for engineers, supervisors or technicians who have production or test results to interpret, or who are looking for cause-effect relationships or correlations in a data table.

Prerequisites

  • Basic use of the Internet and a web browser.
  • Level 4 diploma and/or 2 years' professional experience.

Duration

14 hours of animated 100% e-Learning, certification practice quizzes, implementation of theoretical points on industrial simulators. The e-Learning is available 24/7 for 1 month for this training course.

Teaching and technical resources

  • 100% E-Learning training on a dedicated platform
  • Our teaching methods are mediatized (voice, text, exercises), fun and multimodal, with tests at every lesson.
  • Theoretical presentations
  • Case studies
  • Online availability of PDF and Excel support documents

Teaching team

With over 30 years' experience, rich in teaching and practical experience, our industrial quality training organization provides you with training and consulting services to develop and improve your performance and know-how. All our consultants are Master Black Belt Lean Six Sigma and have at least 10 years' experience in applying Lean and Six Sigma tools in industrial environments.

Accessibility

The Data Analysis training course is accessible to people with disabilities. Please contact us for specific accommodation options. We will do our utmost to accommodate you.

Evaluation methods

  • Attendance sheets.
  • Oral or written questions (MCQs).
  • Case studies.
  • Practical work

Program

Descriptive statistics, Graphs

  • Identify the benefits of graphical representation
  • Quantitative variables
  • Qualitative variables
  • Mixed quantitative/qualitative case

Descriptive statistics, discrete laws

  • Probability basics
  • Binomial distribution, Hypergeometric distribution and Poisson distribution
  • Single sampling control

Descriptive statistics, continuous laws

  • Origin of Gauss's law
  • The parameters of a Gaussian distribution
  • Validate the normality hypothesis
  • Testing for outliers
  • Student's distribution
  • Normality analysis Skewness and Kurtosis
  • Law of distribution of averages and confidence interval
  • Law of variance distribution and confidence interval

Inferential Statistics

  • Hypothesis testing
  • Alpha and beta risks
  • Test power

Frequency comparison

  • Various tests
  • Compare a frequency with a theoretical frequency (1P)
  • Comparing two frequencies (2P)
  • Compare more than two frequencies (independence table)

Comparison of averages

  • Compare an Average to a theoretical Average (z and theoretical t)
  • Compare two Averages (t)
  • Compare more than two Averages (ANAVAR)
  • Dissociating matched cases

Variance comparison

  • Comparing a Variance to a Theoretical Variance
  • Comparing two Variances
  • Compare more than two Variances

Non-parametric tests

  • Understanding the benefits of non-parametric tests
  • Principle of the main non-parametric tests
  • Simple examples of non-parametric tests (signs and B to C)
  • Application to sensory measurement
  • Theoretical and matched comparison: Wilcoxon test
  • Comparison of two populations: Mann Whitney test
  • Comparison of more than two populations Krustal-Wallis, Mood, Friedman, Page test

Simple regression

  • Principles and calculations
  • Hypothesis testing of coefficients
  • R² interpretation
  • Non-linear regression

Multiple regression

  • Principles, calculations and interpretation
  • The benefits of multiple regression
  • Non-linear responses
  • Qualitative factors
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Your feedback

No disappointment, quite the opposite in fact, as the course follows a guiding principle. A very refreshing case study of a real industrial problem - a brewery!
Vincent
Quality Manager, SAINT GOBAIN
This training provided me with knowledge and mastery of basic statistical tools, directly applicable to our field of action at work.
Edgar
R&D Technician, Groupe SEB
Methodology very accessible to us industrialists, non-scientists: discovery of the inversion test, ergonomics and intuitiveness of the software used (Ellistat) compared to Minitab.
Laurent
Materials Project Manager, Chatelain G&F
A fun, educational training program that inspires teams to get involved and roll out the approach on the shop floor.
Pascal
Workshop Manager, Haute Horlogerie
The training really takes you deep into the method, and the Ellistat software is a real plus. The trainer is very knowledgeable and dynamic.
Clément
Engineer / Design Group Manager, Bosch Automotive
The subject is explored in detail with a logical progression throughout the training, without being drowned in information. You want to apply what you discover and learn.
Nathan
Design Engineer, ORANO
I now know how to use the tools of the method to solve problems, but also to prove that the actions I've taken are improving the situation.
Pascal
Workshop Manager, Haute Horlogerie

Two modes learning

  • E-learning
    Self-paced learning
    250
    • 14h e-learning courses
    • Online support
  • Presential
    In-company training
    2
    on-site days
    • 2-day statistical testing course
    • 4-day statistical analysis course

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