/  Data Analysis Techniques Training

Data Analysis Techniques Training

BMC Training provides a training course in Data Analysis Techniques in Maintenance Engineering Training

Course Title
Venue
Start Date
End Date
  • Kuala Lumpur
    27 - 10 - 2019
    31 - 10 - 2019
  • Rome
    27 - 10 - 2019
    31 - 10 - 2019
  • Barcelona
    27 - 10 - 2019
    31 - 10 - 2019
  • Zurich
    27 - 10 - 2019
    31 - 10 - 2019
  • Istanbul
    17 - 11 - 2019
    21 - 11 - 2019
  • Bali
    17 - 11 - 2019
    21 - 11 - 2019
  • Singapore
    17 - 11 - 2019
    21 - 11 - 2019
  • Washington
    17 - 11 - 2019
    21 - 11 - 2019
  • Kuala Lumpur
    24 - 11 - 2019
    28 - 11 - 2019
  • Rome
    24 - 11 - 2019
    28 - 11 - 2019
  • Barcelona
    24 - 11 - 2019
    28 - 11 - 2019
  • Zurich
    24 - 11 - 2019
    28 - 11 - 2019
  • Dubai
    3 - 11 - 2019
    7 - 11 - 2019
  • Paris
    3 - 11 - 2019
    7 - 11 - 2019
  • Hong Kong
    3 - 11 - 2019
    7 - 11 - 2019
  • London
    10 - 11 - 2019
    14 - 11 - 2019
  • Madrid
    10 - 11 - 2019
    14 - 11 - 2019
  • Munich
    10 - 11 - 2019
    14 - 11 - 2019
  • Berlin
    10 - 11 - 2019
    14 - 11 - 2019
  • New York
    10 - 11 - 2019
    14 - 11 - 2019
  • Dubai
    15 - 12 - 2019
    19 - 12 - 2019
  • Paris
    15 - 12 - 2019
    19 - 12 - 2019
  • Hong Kong
    15 - 12 - 2019
    19 - 12 - 2019
  • Kuala Lumpur
    22 - 12 - 2019
    26 - 12 - 2019
  • Rome
    22 - 12 - 2019
    26 - 12 - 2019
  • Barcelona
    22 - 12 - 2019
    26 - 12 - 2019
  • Zurich
    22 - 12 - 2019
    26 - 12 - 2019
  • Istanbul
    8 - 12 - 2019
    12 - 12 - 2019
  • Bali
    8 - 12 - 2019
    12 - 12 - 2019
  • Singapore
    8 - 12 - 2019
    12 - 12 - 2019
  • Washington
    8 - 12 - 2019
    12 - 12 - 2019
  • London
    1 - 12 - 2019
    5 - 12 - 2019
  • Madrid
    1 - 12 - 2019
    5 - 12 - 2019
  • Munich
    1 - 12 - 2019
    5 - 12 - 2019
  • Berlin
    1 - 12 - 2019
    5 - 12 - 2019
  • New York
    1 - 12 - 2019
    5 - 12 - 2019
  • Dubai
    8 - 12 - 2019
    12 - 12 - 2019
  • Paris
    8 - 12 - 2019
    12 - 12 - 2019
  • Hong Kong
    8 - 12 - 2019
    12 - 12 - 2019
  • Dubai
    1 - 12 - 2019
    5 - 12 - 2019
  • Paris
    1 - 12 - 2019
    5 - 12 - 2019
  • Hong Kong
    1 - 12 - 2019
    5 - 12 - 2019
  • Istanbul
    26 - 1 - 2020
    30 - 1 - 2020
  • Bali
    26 - 1 - 2020
    30 - 1 - 2020
  • Singapore
    26 - 1 - 2020
    30 - 1 - 2020
  • Washington
    26 - 1 - 2020
    30 - 1 - 2020
  • Kuala Lumpur
    19 - 1 - 2020
    23 - 1 - 2020
  • Rome
    19 - 1 - 2020
    23 - 1 - 2020
  • Barcelona
    19 - 1 - 2020
    23 - 1 - 2020
  • Zurich
    19 - 1 - 2020
    23 - 1 - 2020
  • Dubai
    12 - 1 - 2020
    16 - 1 - 2020
  • Paris
    12 - 1 - 2020
    16 - 1 - 2020
  • Hong Kong
    12 - 1 - 2020
    16 - 1 - 2020
  • London
    5 - 1 - 2020
    9 - 1 - 2020
  • Madrid
    5 - 1 - 2020
    9 - 1 - 2020
  • Munich
    5 - 1 - 2020
    9 - 1 - 2020
  • Berlin
    5 - 1 - 2020
    9 - 1 - 2020
  • New York
    5 - 1 - 2020
    9 - 1 - 2020
  • Dubai
    23 - 2 - 2020
    27 - 2 - 2020
  • Paris
    23 - 2 - 2020
    27 - 2 - 2020
  • Hong Kong
    23 - 2 - 2020
    27 - 2 - 2020
  • Kuala Lumpur
    16 - 2 - 2020
    20 - 2 - 2020
  • Rome
    16 - 2 - 2020
    20 - 2 - 2020
  • Barcelona
    16 - 2 - 2020
    20 - 2 - 2020
  • Zurich
    16 - 2 - 2020
    20 - 2 - 2020
  • Istanbul
    9 - 2 - 2020
    13 - 2 - 2020
  • Bali
    9 - 2 - 2020
    13 - 2 - 2020
  • Singapore
    9 - 2 - 2020
    13 - 2 - 2020
  • Washington
    9 - 2 - 2020
    13 - 2 - 2020
  • London
    2 - 2 - 2020
    6 - 2 - 2020
  • Madrid
    2 - 2 - 2020
    6 - 2 - 2020
  • Munich
    2 - 2 - 2020
    6 - 2 - 2020
  • Berlin
    2 - 2 - 2020
    6 - 2 - 2020
  • New York
    2 - 2 - 2020
    6 - 2 - 2020
  • Dubai
    9 - 2 - 2020
    13 - 2 - 2020
  • Paris
    9 - 2 - 2020
    13 - 2 - 2020
  • Hong Kong
    9 - 2 - 2020
    13 - 2 - 2020
  • Dubai
    2 - 2 - 2020
    6 - 2 - 2020
  • Paris
    2 - 2 - 2020
    6 - 2 - 2020
  • Hong Kong
    2 - 2 - 2020
    6 - 2 - 2020
  • Istanbul
    15 - 3 - 2020
    19 - 3 - 2020
  • Bali
    15 - 3 - 2020
    19 - 3 - 2020
  • Singapore
    15 - 3 - 2020
    19 - 3 - 2020
  • Washington
    15 - 3 - 2020
    19 - 3 - 2020
  • Kuala Lumpur
    8 - 3 - 2020
    12 - 3 - 2020
  • Rome
    8 - 3 - 2020
    12 - 3 - 2020
  • Barcelona
    8 - 3 - 2020
    12 - 3 - 2020
  • Zurich
    8 - 3 - 2020
    12 - 3 - 2020
  • Dubai
    1 - 3 - 2020
    5 - 3 - 2020
  • Paris
    1 - 3 - 2020
    5 - 3 - 2020
  • Hong Kong
    1 - 3 - 2020
    5 - 3 - 2020
  • London
    22 - 3 - 2020
    26 - 3 - 2020
  • Madrid
    22 - 3 - 2020
    26 - 3 - 2020
  • Munich
    22 - 3 - 2020
    26 - 3 - 2020
  • Berlin
    22 - 3 - 2020
    26 - 3 - 2020
  • New York
    22 - 3 - 2020
    26 - 3 - 2020
  • Dubai
    26 - 4 - 2020
    30 - 4 - 2020
  • Paris
    26 - 4 - 2020
    30 - 4 - 2020
  • Hong Kong
    26 - 4 - 2020
    30 - 4 - 2020
  • Kuala Lumpur
    5 - 4 - 2020
    9 - 4 - 2020
  • Rome
    5 - 4 - 2020
    9 - 4 - 2020
  • Barcelona
    5 - 4 - 2020
    9 - 4 - 2020
  • Zurich
    5 - 4 - 2020
    9 - 4 - 2020
  • Istanbul
    12 - 4 - 2020
    16 - 4 - 2020
  • Bali
    12 - 4 - 2020
    16 - 4 - 2020
  • Singapore
    12 - 4 - 2020
    16 - 4 - 2020
  • Washington
    12 - 4 - 2020
    16 - 4 - 2020
  • London
    19 - 4 - 2020
    23 - 4 - 2020
  • Madrid
    19 - 4 - 2020
    23 - 4 - 2020
  • Munich
    19 - 4 - 2020
    23 - 4 - 2020
  • Berlin
    19 - 4 - 2020
    23 - 4 - 2020
  • New York
    19 - 4 - 2020
    23 - 4 - 2020
  • Dubai
    12 - 4 - 2020
    16 - 4 - 2020
  • Paris
    12 - 4 - 2020
    16 - 4 - 2020
  • Hong Kong
    12 - 4 - 2020
    16 - 4 - 2020
  • Dubai
    19 - 4 - 2020
    23 - 4 - 2020
  • Paris
    19 - 4 - 2020
    23 - 4 - 2020
  • Hong Kong
    19 - 4 - 2020
    23 - 4 - 2020
  • Istanbul
    10 - 5 - 2020
    14 - 5 - 2020
  • Bali
    10 - 5 - 2020
    14 - 5 - 2020
  • Singapore
    10 - 5 - 2020
    14 - 5 - 2020
  • Washington
    10 - 5 - 2020
    14 - 5 - 2020
  • Kuala Lumpur
    3 - 5 - 2020
    7 - 5 - 2020
  • Rome
    3 - 5 - 2020
    7 - 5 - 2020
  • Barcelona
    3 - 5 - 2020
    7 - 5 - 2020
  • Zurich
    3 - 5 - 2020
    7 - 5 - 2020
  • Dubai
    17 - 5 - 2020
    21 - 5 - 2020
  • Paris
    17 - 5 - 2020
    21 - 5 - 2020
  • Hong Kong
    17 - 5 - 2020
    21 - 5 - 2020
  • London
    24 - 5 - 2020
    28 - 5 - 2020
  • Madrid
    24 - 5 - 2020
    28 - 5 - 2020
  • Munich
    24 - 5 - 2020
    28 - 5 - 2020
  • Berlin
    24 - 5 - 2020
    28 - 5 - 2020
  • New York
    24 - 5 - 2020
    28 - 5 - 2020
  • Dubai
    14 - 6 - 2020
    18 - 6 - 2020
  • Paris
    14 - 6 - 2020
    18 - 6 - 2020
  • Hong Kong
    14 - 6 - 2020
    18 - 6 - 2020
  • Kuala Lumpur
    21 - 6 - 2020
    25 - 6 - 2020
  • Rome
    21 - 6 - 2020
    25 - 6 - 2020
  • Barcelona
    21 - 6 - 2020
    25 - 6 - 2020
  • Zurich
    21 - 6 - 2020
    25 - 6 - 2020
  • Istanbul
    28 - 6 - 2020
    2 - 7 - 2020
  • Bali
    28 - 6 - 2020
    2 - 7 - 2020
  • Singapore
    28 - 6 - 2020
    2 - 7 - 2020
  • Washington
    28 - 6 - 2020
    2 - 7 - 2020
  • London
    7 - 6 - 2020
    11 - 6 - 2020
  • Madrid
    7 - 6 - 2020
    11 - 6 - 2020
  • Munich
    7 - 6 - 2020
    11 - 6 - 2020
  • Berlin
    7 - 6 - 2020
    11 - 6 - 2020
  • New York
    7 - 6 - 2020
    11 - 6 - 2020
  • Dubai
    28 - 6 - 2020
    2 - 7 - 2020
  • Paris
    28 - 6 - 2020
    2 - 7 - 2020
  • Hong Kong
    28 - 6 - 2020
    2 - 7 - 2020
  • Dubai
    7 - 6 - 2020
    11 - 6 - 2020
  • Paris
    7 - 6 - 2020
    11 - 6 - 2020
  • Hong Kong
    7 - 6 - 2020
    11 - 6 - 2020
  • Istanbul
    5 - 7 - 2020
    9 - 7 - 2020
  • Bali
    5 - 7 - 2020
    9 - 7 - 2020
  • Singapore
    5 - 7 - 2020
    9 - 7 - 2020
  • Washington
    5 - 7 - 2020
    9 - 7 - 2020
  • Kuala Lumpur
    12 - 7 - 2020
    16 - 7 - 2020
  • Rome
    12 - 7 - 2020
    16 - 7 - 2020
  • Barcelona
    12 - 7 - 2020
    16 - 7 - 2020
  • Zurich
    12 - 7 - 2020
    16 - 7 - 2020
  • Kuala Lumpur
    19 - 7 - 2020
    23 - 7 - 2020
  • Rome
    19 - 7 - 2020
    23 - 7 - 2020
  • Barcelona
    19 - 7 - 2020
    23 - 7 - 2020
  • Zurich
    19 - 7 - 2020
    23 - 7 - 2020
  • London
    26 - 7 - 2020
    30 - 7 - 2020
  • Madrid
    26 - 7 - 2020
    30 - 7 - 2020
  • Munich
    26 - 7 - 2020
    30 - 7 - 2020
  • Berlin
    26 - 7 - 2020
    30 - 7 - 2020
  • New York
    26 - 7 - 2020
    30 - 7 - 2020
  • Dubai
    2 - 8 - 2020
    6 - 8 - 2020
  • Paris
    2 - 8 - 2020
    6 - 8 - 2020
  • Hong Kong
    2 - 8 - 2020
    6 - 8 - 2020
  • Kuala Lumpur
    9 - 8 - 2020
    13 - 8 - 2020
  • Rome
    9 - 8 - 2020
    13 - 8 - 2020
  • Barcelona
    9 - 8 - 2020
    13 - 8 - 2020
  • Zurich
    9 - 8 - 2020
    13 - 8 - 2020
  • Istanbul
    16 - 8 - 2020
    20 - 8 - 2020
  • Bali
    16 - 8 - 2020
    20 - 8 - 2020
  • Singapore
    16 - 8 - 2020
    20 - 8 - 2020
  • Washington
    16 - 8 - 2020
    20 - 8 - 2020
  • London
    23 - 8 - 2020
    27 - 8 - 2020
  • Madrid
    23 - 8 - 2020
    27 - 8 - 2020
  • Munich
    23 - 8 - 2020
    27 - 8 - 2020
  • Berlin
    23 - 8 - 2020
    27 - 8 - 2020
  • New York
    23 - 8 - 2020
    27 - 8 - 2020
  • Dubai
    16 - 8 - 2020
    20 - 8 - 2020
  • Paris
    16 - 8 - 2020
    20 - 8 - 2020
  • Hong Kong
    16 - 8 - 2020
    20 - 8 - 2020
  • Dubai
    23 - 8 - 2020
    27 - 8 - 2020
  • Paris
    23 - 8 - 2020
    27 - 8 - 2020
  • Hong Kong
    23 - 8 - 2020
    27 - 8 - 2020
  • Istanbul
    27 - 9 - 2020
    1 - 10 - 2020
  • Bali
    27 - 9 - 2020
    1 - 10 - 2020
  • Singapore
    27 - 9 - 2020
    1 - 10 - 2020
  • Washington
    27 - 9 - 2020
    1 - 10 - 2020
  • Kuala Lumpur
    6 - 9 - 2020
    10 - 9 - 2020
  • Rome
    6 - 9 - 2020
    10 - 9 - 2020
  • Barcelona
    6 - 9 - 2020
    10 - 9 - 2020
  • Zurich
    6 - 9 - 2020
    10 - 9 - 2020
  • Dubai
    13 - 9 - 2020
    17 - 9 - 2020
  • Paris
    13 - 9 - 2020
    17 - 9 - 2020
  • Hong Kong
    13 - 9 - 2020
    17 - 9 - 2020
  • London
    20 - 9 - 2020
    24 - 9 - 2020
  • Madrid
    20 - 9 - 2020
    24 - 9 - 2020
  • Munich
    20 - 9 - 2020
    24 - 9 - 2020
  • Berlin
    20 - 9 - 2020
    24 - 9 - 2020
  • New York
    20 - 9 - 2020
    24 - 9 - 2020
  • Istanbul
    4 - 10 - 2020
    8 - 10 - 2020
  • Bali
    4 - 10 - 2020
    8 - 10 - 2020
  • Singapore
    4 - 10 - 2020
    8 - 10 - 2020
  • Washington
    4 - 10 - 2020
    8 - 10 - 2020
  • Dubai
    4 - 10 - 2020
    8 - 10 - 2020
  • Paris
    4 - 10 - 2020
    8 - 10 - 2020
  • Hong Kong
    4 - 10 - 2020
    8 - 10 - 2020

Introduction

Corporate ethos which demands continual improvement in work place efficiencies and reduced operating, maintenance, support service and administration costs means that managers, analysts and their advisors are faced with ever-challenging analytical problems and performance targets. To make decisions which result in improved business performance it is vital to base decision making on appropriate analysis and interpretation of numerical data.

Objectives                                                   

This course aims to provide those involved in analysing numerical data with the understanding and practical capabilities needed to convert data into information via appropriate analysis, and then to represent these results in ways that can be readily communicated to others in the organisation.

Objectives include:

  • To provide delegates with both an understanding and practical experience of a range of the more common analytical techniques and representation methods for numerical data.
  • To give delegates the ability to recognize which types of analysis are best suited to particular types of problems.
  • To give delegates sufficient background and theoretical knowledge to be able to judge when an applied technique will likely lead to incorrect conclusions.
  • To provide delegates with a working vocabulary of analytical terms to enable them to converse with people who are experts in the areas of data analysis, statistics and probability, and to be able to read and comprehend common textbooks and journal articles in this field.
  • To introduce some basic statistical methods and concepts.
  • To explore the use of Excel 2010 or 2013 for data analysis and the capabilities of the Data Analysis Tool Pack.

Content

The Basics

  • Sources of data, data sampling, data accuracy, data completeness, simple representations, dealing with practical issues.

Fundamental Statistics

  • Mean, average, median, mode, rank, variance, covariance, standard deviation, “lies, more lies and statistics”, compensations for small sample sizes, descriptive statistics, insensitive measures.

Basics of Data Mining and Representation

  • Single, two and multi-dimensional data visualisation, trend analysis, how to decide what it is that you want to see, box and whisker charts, common pitfalls and problems.

Data Comparison

  • Correlation analysis, the autocorrelation function, practical considerations of data set dimensionality, multivariate and non-linear correlation.

Histograms and Frequency of Occurrence

  • Histograms, Pareto analysis (sorted histogram), cumulative percentage analysis, the law of diminishing return, percentile analysis.

Frequency Analysis

  • The Fourier transform, periodic and a-periodic data, inverse transformation, practical implications of sample rate, dynamic range and amplitude resolution.

Regression Analysis and Curve Fitting

  • Linear and non-linear regression, order; best fit; minimum variance, maximum likelihood, least squares fits, curve fitting theory, linear, exponential and polynomial curve fits, predictive methods.

Probability and Confidence

  • Probability theory, properties of distributions, expected values, setting confidence limits, risk and uncertainty, ANOVA (analysis of variance).

Some more advanced ideas

  • Pivot tables, the Data Analysis Tool Pack, internet-based analysis tools, macros, dynamic spread sheets, sensitivity analysis.

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