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INTRO Online

Introduction Course to Statistics for Data Analysis

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Providing the notions for the construction and organization of a database of cases that can be managed, explored, described, synthesized and represented.

Addressing descriptive and inferential statistical issues preparatory to the construction of multivariate interpretative models.

Techniques presented:

Access to data, transformations preparatory to statistical analysis, detection and correction of errors, management (aggregation, grouping, selection with filters) and transformation of data (recoding, calculation of new variables, etc.).

Univariate and bivariate statistical techniques, summary indicators, interdependence between two variables.


The cost of the entire INTRO Online course (5 sessions, for a total of 12 hours and 30 minutes) is 625.00 Euro (excluding VAT) per participant.



Practice is planned for each of the topics covered.


Minimum familiarity with PC, Windows and popular office automation tools is required.


Online course lasting 12 hours and 30 minutes, divided into 5 sessions of 2 hours and 30 minutes each.



Our online courses are delivered live in order to ensure maximum interaction and collaboration between teacher and participants. For this reason, the presence of participants in all lessons is considered essential.

In case of absence from a lesson, the Training Staff will send the learner the points and exercises covered during the missed lesson.

If more than one lesson is missed, the Training Staff reserves the right not to send the student the certificate of participation

Certificate of attendance::

A certificate of participation will be issued at the end of the course.

Topics that will be addressed for each session:

First session (2 hours and 30 minutes)


  • The Data Editor (similarities and differences with spreadsheets and databases)

  • Creation of a new database:

    • Creation of a new file

    • Data entry and editing

  • Case Structure/Variables

  • Editor of the Output

  • Overview of the Syntax Editor

  • Overview of the script editor

  • Contextual help

Importing and exporting files

  • Flat File structure

  • Relational and Non-Relational Databases

  • Importing from external databases:

    • importing from spreadsheets and non-relational databases

    • Importing from relational databases

    • Importing of text data

  • File exporting


Operations on cases and variables

  • Data aggregation

  • Adding new variables


Second session (2 hours and 30 minutes)

Data Management

  • Transformations and operations on data

    • Sorting of cases

    • Construction of rankings

    • Classifications of cases

    • Classifications of Variables

  • Recoding of Variables

  • Transposition of cases and variables

Examples of Data Cleaning


Third session (2 hours and 30 minutes)

Data Management (2)

  • Data aggregation

  • Case weighting

  • File decomposition

    • Distinguish

    • Confront

  • Selection of the cases

    • Random sampling

    • Systematic sampling

  • II Menu Calculate

  • Data functions

  • String functions


Fourth session (2 hours and 30 minutes)

Introduction to Tabular Reporting

  • Description and representation of data

  • Mode Scale (Nominal/Ordinal/Scale)

  • Statistical Indicators (Mode, Mean, etc.)

  • Charts

  • Tabular output


Fifth session (2 hours and 30 minutes)

Introduction to Graphic Reporting

  • Description and representation of data

  • Mode Scale (Nominal/Ordinal/Scale)

  • Statistical Indicators (Mode, Mean, etc.)

  • Types of Charts

    • Bar chart

    • Point chart

    • Line chart

    • Connecting line chart

    • Pie chart

    • Simple chart

    • Grouped chart

    • Cartesian chart


Notes on the use of syntax in SPSS

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