Opleiding: Introduction Data Analysis

Korte beschrijving

Dive into the world of data analysis! Learn to extract valuable insights from your data with our ‘Introduction Data Analysis’ training.

Inhoud

Are you overwhelmed by vast amounts of data and unsure how to extract value from it? The ‘Introduction Data Analysis’ training is designed to help you navigate the world of data analysis. This training introduces you to various types of data including Structured, Unstructured, Semi-structured, Nominal, Ordinal, Discrete, and Continuous Data, and different forms of data analysis such as Qualitative and Quantitative Data Analysis. You’ll learn about the data analysis process and apply the theory during practical exercises. The training is delivered by experienced professionals who deal with data analysis in their daily work.


In the modern world where data is king, the ability to dissect and derive significance from this data is a coveted skill. Our educators, seasoned experts in their respective fields, enrich theoretical principles with a touch of practicality, offering insights drawn from real-world experiences and industry best practices. This training is designed to empower you with the understanding and competencies needed to make decisions guided by data.

Doelgroep

• People who want to become a Data Analyst or Data Scientist: Enhance your analytical skills.
• Data Enthusiasts: Individuals interested in the field of data analysis.
• Business Analysts: Professionals who want to leverage data analysis in their field.
• Marketing Professionals: Individuals who want to use data analysis for better marketing strategies.
• IT Professionals: Those who want to understand and apply data analysis in their work.

Voorvereisten

There are no specific requirements to participate in this training.
Having basic Excel skills is useful, but not mandatory.
During this training you need a laptop with access to internet.

Doelstelling

At the end of the training you will be able to:

• Understand the different types of data and data analysis.
• Identify the steps taken during a data analysis process.
• Determine which forms of visualization are suitable depending on the type of data and the process step.