• Introduction Data Analysis (NL)

  • Group Training

    Are you also having large amounts of data and not sure what to do with it, except that you definitely have to do something with it? With this training you take the first steps in this direction.

    Training code
    CGAINDA-CD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €800,00
    excl. VAT No extra costs.

    Book Introduction Data Analysis (NL) now

    In group training, we use several learning methods to help you obtain the knowledge, give you helpful insights and get you inspired. Check the Spoken language and Language materials on the left for language info.

    • 16-10-2024
      Utrecht
      €800,00
      €800,00
    • 20-1-2025
      Utrecht
      €800,00
      €800,00
    Introduction Data Analysis (NL)
    10
    2.3
    0
    3 reviews
     

    What is Introduction Data Analysis

    Are you also having huge amounts of data and not sure what to do with it, except that you definitely have to do something with it? What information and insights are in your data and how can you extract it?
    During the Introduction Data Analysis you learn to take the first steps towards the work of a Data Analyst or Data Scientist, so that you can gain value from your data yourself.
    You will be introduced to different types of data, such as:

    • Structured Data
    • Unstructured Data
    • Semi-structured Data
    • Nominal Data
    • Ordinal Data
    • Discreet Data
    • Continuous Data

    and various forms of data analysis:

    • Qualitative Data Analysis
    • Quantitative Data Analysis

    We will discuss the data analysis process and go through the first steps together. During practical exercises you are challenged to apply the theory you have learned.
    During the training, the way of thinking of a data analyst and its application are central. The training is given by people who process and analyze data in their daily work and who are happy to share this knowledge.

     
     

    Who should attend Introduction Data Analysis

    The training Introduction Data Analysis is suitable for:

    • Starters at the start of their career
    • People who want to learn to create insights through data
    • People working in IT, especially in departments such as Data Management
    • People who want to become a Data Analyst
    • People who want to become a Data Scientist

    Prerequisites

    There are no specific requirements to participate in this training.
    During this training you need a laptop with access to internet.

    Objectives

    After this training, the participant is able to answer the questions:

    • What different types of data and data analysis are there?
    • Which steps are taken during a data analysis process?
    • Which forms of visualization are suitable depending on the type of data and the process step?
     
    Incompany

    Are you also having large amounts of data and not sure what to do with it, except that you definitely have to do something with it? With this training you take the first steps in this direction.

    Training code
    CGAINDA-CD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €800,00
    excl. VAT No extra costs.

    With an Incompany training you have several advantages:

    - You choose the location
    - You experience the training with your colleagues, so it is always in line with your practice
    - The trainer can tailor explanations, examples and assignments to your organization
    - In consultation exercises can be adapted to organization-specific questions

    Request more information or a quote.

    Introduction Data Analysis (NL)
    10
    2.3
    0
    3 reviews
     

    What is Introduction Data Analysis

    Are you also having huge amounts of data and not sure what to do with it, except that you definitely have to do something with it? What information and insights are in your data and how can you extract it?
    During the Introduction Data Analysis you learn to take the first steps towards the work of a Data Analyst or Data Scientist, so that you can gain value from your data yourself.
    You will be introduced to different types of data, such as:

    • Structured Data
    • Unstructured Data
    • Semi-structured Data
    • Nominal Data
    • Ordinal Data
    • Discreet Data
    • Continuous Data

    and various forms of data analysis:

    • Qualitative Data Analysis
    • Quantitative Data Analysis

    We will discuss the data analysis process and go through the first steps together. During practical exercises you are challenged to apply the theory you have learned.
    During the training, the way of thinking of a data analyst and its application are central. The training is given by people who process and analyze data in their daily work and who are happy to share this knowledge.

     
     

    Who should attend Introduction Data Analysis

    The training Introduction Data Analysis is suitable for:

    • Starters at the start of their career
    • People who want to learn to create insights through data
    • People working in IT, especially in departments such as Data Management
    • People who want to become a Data Analyst
    • People who want to become a Data Scientist

    Prerequisites

    There are no specific requirements to participate in this training.
    During this training you need a laptop with access to internet.

    Objectives

    After this training, the participant is able to answer the questions:

    • What different types of data and data analysis are there?
    • Which steps are taken during a data analysis process?
    • Which forms of visualization are suitable depending on the type of data and the process step?
     
  • Related

    Fields of Expertise
    Data
     
  • e-CF competences with this course

     

    At Capgemini Academy we believe in transparency and clarity in the training landscape. That is why, in the table below, we show you to which e-CF competence this training or certification contributes. For more information about how to use the e-Competence Framework read more here. If you want to know how you can apply the e-CF within your organization, read more on this page.

    e-Competence Level12345
    A.6.Application Design     
    D.10.Information and Knowledge Management     
    B.1.Application Development     
    E.1.Forecast Development