Analysing and understanding data with Excel (S-IT0072)

Inter-company training

How long does the training course last?

 8,00 hours(s)

1 day

In which language(s) is the training course taught?

EN

When will the next session take place?

Who is organising this training course?

Le Luxembourg Lifelong Learning Centre (LLLC), le centre de formation continue de la Chambre des salariés, dispose d'une large gamme de formations continues qui s’adressent à tout un chacun. Son offre de formation a pour objet de doter les apprenants pour autant que possible du savoir-faire approprié pour maîtriser un environnement de travail, des processus et des technologies, voire des aptitudes sociales, en constante évolution, et ce pour sécuriser au maximum leurs parcours professionnels. Le LLLC propose une panoplie importante de formations: des cours du soir; des séminaires, qui peuvent être adaptés sur mesure selon les besoins des entreprises; des formations universitaires; des formations spécialisées; des formations pour seniors; des certifications professionnelles.

Who is the training course aimed at?

Professionals that use Excel and want to progress from basic use towards understanding data using Excel.

What are the prerequisites?

To extract the most from the course, students should have good grasp of Excel’s features such as inserting formulas, fixed and moveable referencing, inserting and customizing charts, applying conditional formatting using formulas, and data validation principles. Additionally, good understanding of operations such as percentages, proportions, raising to a power, averages and the use of logical operators (greater than, less than, not equal to) is required.

What are the aims or the skills being targeted?

  • Understand and apply the principles of exploratory data analysis (EDA).
  • Understand and explain Excel’s capabilities for statistical analysis, Identify patterns, trends, and anomalies in data.
  • Create clear visualizations to communicate findings.

What does the training course cover?

  • Principles of exploratory data analysis and data summarization.
  • Excel functionality for descriptive statistics and the Analysis Toolpak:
    • Descriptive statistics tool;
    • Correlation tool.
  • Conditional analysis and logical operations:
    • Conditional aggregation functions.
  • Data visualization: 
    • histograms; 
    • scatter plots;
    • box plots;
    • correlograms and dot plots.

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