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Mathematics and data analysis, Learn Descriptive & Inferential statistics

Mathematics and data analysis training, Learn Descriptive & Inferential statistics

Mathematics and data analysis, Engineering Training.

The Mathematics and data analysis, Engineering statistics, Statistical Data reduction training course will help you to understand the inferential statistics topics such as,

  • Confidence intervals,
  • Margin of error,
  • Hypothesis testing,
  • Critical value approach,
  • Inference of population,
  • Different types of distributions.




YOUR BENEFITS

By learning the fundamentals of data analysis and engineering statistics, you will be able to tackle real projects along with statistical concepts.

During the training course, you will learn about the concept of samples and population in statistics and how to present them. 


COURSE AUDIENCE
  • Product design managers, engineers, or quality managers
  • Clients interested in developing Statistical Engineering competencies
  • Personnel involved with product quality assurance and regulatory compliance testing
  • Engineers to manipulate the data, create data visualizations
  • Faculty members who want to teach the engineering statistics or data analysis course
  • Anyone who is making a product of process assessment

LEARNING OPPORTUNITIES
  • The basic concepts in statistics
  • Different types of data in statistics
  • Methods to represent different types of data
  • The main topics of data analysis
  • Procedures in statistical data reduction
  • Difference between descriptive and inferential statistics
  • Uncertainty theory and fundamentals of probability analysis
  • Random variables with their probability functions
  • Correlation and regression concepts in statistics engineering
  • Different types of distributions in statistics

COURSE OUTLINES
  • Introduction to statistics,
  • Data Representing,
  • Data Analysis,
  • Data Reduction,
  • Descriptive statistics,
  • Inferential statistics,
  • Probability and random variables,
  • Distributions,
  • Correlation and regression.

WANT TO LEARN MORE ?


Visit tonex.com for course and workshop detail

Mathematics and data analysis training

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