Data Analysis Methods and Techniques

Management & Leadership

Course Info

Length: 1 Week

Type: In Classroom

Available Dates

Venue

  • Jan-31-2022

    London

  • Feb-07-2022

    Kuala Lumpur

  • Feb-07-2022

    London

  • Feb-07-2022

    Dubai

  • Feb-14-2022

    Istanbul

  • Feb-21-2022

    Madrid

  • Feb-21-2022

    Paris

  • Feb-21-2022

    Geneva

  • Feb-21-2022

    Amsterdam

  • Feb-21-2022

    Berlin

  • Feb-21-2022

    Barcelona

  • Feb-28-2022

    Madrid

  • Feb-28-2022

    London

  • Feb-28-2022

    Dubai

  • Mar-07-2022

    Kuala Lumpur

  • Mar-07-2022

    London

  • Mar-07-2022

    Dubai

  • Mar-14-2022

    Istanbul

  • Mar-21-2022

    Madrid

  • Mar-21-2022

    Paris

  • Mar-21-2022

    Geneva

  • Mar-21-2022

    Amsterdam

  • Mar-21-2022

    Berlin

  • Mar-21-2022

    Barcelona

  • Mar-28-2022

    Madrid

  • Mar-28-2022

    London

  • Mar-28-2022

    Dubai

  • Apr-04-2022

    Kuala Lumpur

  • Apr-04-2022

    London

  • Apr-04-2022

    Dubai

  • Apr-11-2022

    Istanbul

  • Apr-18-2022

    Madrid

  • Apr-18-2022

    Paris

  • Apr-18-2022

    Geneva

  • Apr-18-2022

    Amsterdam

  • Apr-18-2022

    Berlin

  • Apr-18-2022

    Barcelona

  • Apr-25-2022

    Madrid

  • Apr-25-2022

    London

  • Apr-25-2022

    Dubai

  • May-02-2022

    Kuala Lumpur

  • May-02-2022

    Paris

  • May-02-2022

    Dubai

  • May-02-2022

    Geneva

  • May-02-2022

    Amsterdam

  • May-02-2022

    Barcelona

  • May-09-2022

    London

  • May-09-2022

    Istanbul

  • May-09-2022

    Madrid

  • May-23-2022

    Dubai

  • May-23-2022

    Berlin

  • May-30-2022

    London

  • June-06-2022

    London

  • June-06-2022

    Istanbul

  • June-06-2022

    Madrid

  • June-06-2022

    Dubai

  • June-06-2022

    Berlin

  • June-20-2022

    Geneva

  • June-27-2022

    Kuala Lumpur

  • June-27-2022

    Paris

  • June-27-2022

    London

  • June-27-2022

    Dubai

  • June-27-2022

    Amsterdam

  • June-27-2022

    Barcelona

  • July-04-2022

    London

  • July-04-2022

    Dubai

  • July-11-2022

    Kuala Lumpur

  • July-11-2022

    Paris

  • July-11-2022

    Geneva

  • July-11-2022

    Amsterdam

  • July-11-2022

    Barcelona

  • July-18-2022

    Madrid

  • July-18-2022

    Berlin

  • July-25-2022

    Istanbul

  • July-25-2022

    London

  • July-25-2022

    Dubai

  • Aug-08-2022

    Paris

  • Aug-08-2022

    London

  • Aug-08-2022

    Dubai

  • Aug-08-2022

    Barcelona

  • Aug-15-2022

    Berlin

  • Aug-22-2022

    Kuala Lumpur

  • Aug-22-2022

    Istanbul

  • Aug-22-2022

    Amsterdam

  • Aug-29-2022

    Madrid

  • Aug-29-2022

    London

  • Aug-29-2022

    Dubai

  • Aug-29-2022

    Geneva

  • Sep-05-2022

    London

  • Sep-05-2022

    Dubai

  • Sep-05-2022

    Berlin

  • Sep-12-2022

    Kuala Lumpur

  • Sep-12-2022

    Paris

  • Sep-12-2022

    Amsterdam

  • Sep-12-2022

    Barcelona

  • Sep-19-2022

    Istanbul

  • Sep-26-2022

    Madrid

  • Sep-26-2022

    London

  • Sep-26-2022

    Dubai

  • Sep-26-2022

    Geneva

  • Oct-03-2022

    Paris

  • Oct-03-2022

    Dubai

  • Oct-03-2022

    Amsterdam

  • Oct-03-2022

    Berlin

  • Oct-03-2022

    Barcelona

  • Oct-10-2022

    Kuala Lumpur

  • Oct-10-2022

    Istanbul

  • Oct-10-2022

    Madrid

  • Oct-10-2022

    Geneva

  • Oct-17-2022

    Paris

  • Oct-17-2022

    London

  • Oct-17-2022

    Amsterdam

  • Oct-17-2022

    Berlin

  • Oct-17-2022

    Barcelona

  • Oct-24-2022

    Dubai

  • Oct-24-2022

    Geneva

  • Oct-31-2022

    Kuala Lumpur

  • Oct-31-2022

    Istanbul

  • Oct-31-2022

    Paris

  • Oct-31-2022

    Madrid

  • Oct-31-2022

    London

  • Oct-31-2022

    Barcelona

  • Nov-07-2022

    Kuala Lumpur

  • Nov-07-2022

    London

  • Nov-07-2022

    Dubai

  • Nov-07-2022

    Geneva

  • Nov-14-2022

    Istanbul

  • Nov-14-2022

    Paris

  • Nov-14-2022

    Madrid

  • Nov-14-2022

    Amsterdam

  • Nov-14-2022

    Berlin

  • Nov-14-2022

    Barcelona

  • Nov-21-2022

    Kuala Lumpur

  • Nov-21-2022

    London

  • Nov-21-2022

    Geneva

  • Nov-28-2022

    Istanbul

  • Nov-28-2022

    Paris

  • Nov-28-2022

    Madrid

  • Nov-28-2022

    Dubai

  • Nov-28-2022

    Amsterdam

  • Nov-28-2022

    Berlin

  • Nov-28-2022

    Barcelona

  • Dec-05-2022

    Istanbul

  • Dec-05-2022

    Paris

  • Dec-05-2022

    Madrid

  • Dec-05-2022

    Dubai

  • Dec-05-2022

    Amsterdam

  • Dec-05-2022

    Berlin

  • Dec-05-2022

    Barcelona

  • Dec-12-2022

    Kuala Lumpur

  • Dec-12-2022

    London

  • Dec-12-2022

    Geneva

  • Dec-19-2022

    Istanbul

  • Dec-19-2022

    Paris

  • Dec-19-2022

    Madrid

  • Dec-19-2022

    Amsterdam

  • Dec-19-2022

    Barcelona

  • Dec-20-2022

    Madrid

  • Dec-20-2022

    Kuala Lumpur

  • Dec-20-2022

    Paris

  • Dec-20-2022

    Berlin

  • Dec-20-2022

    Barcelona

  • Dec-26-2022

    Kuala Lumpur

  • Dec-26-2022

    London

  • Dec-26-2022

    Dubai

  • Dec-26-2022

    Geneva

  • Dec-26-2022

    Berlin

  • Dec-27-2022

    Madrid

  • Dec-27-2022

    Istanbul

  • Dec-27-2022

    London

  • Dec-27-2022

    Dubai

  • Dec-27-2022

    Geneva

  • Dec-27-2022

    Amsterdam

  • Jan-03-2023

    Kuala Lumpur

  • Jan-03-2023

    London

  • Jan-10-2023

    Istanbul

  • Jan-10-2023

    Dubai

  • Jan-17-2023

    Madrid

  • Jan-17-2023

    Paris

  • Jan-17-2023

    Geneva

  • Jan-17-2023

    Amsterdam

  • Jan-17-2023

    Berlin

  • Jan-17-2023

    Barcelona

  • Jan-24-2023

    Madrid

  • Jan-24-2023

    Dubai

Course Details

Course Outline

5 days course

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.

Course Video