• Introduction Python training

  • Group English

    Do you want to learn how to program in Python? And do you want to know how Python can help you get insights from your data and what you can do with these insights?

    Training code
    CGAPYTINCE
    Spoken Language
    English
    Language Materials
    English
    Dayparts
    4
    Price
    €1.400,00
    excl. VAT No extra costs.

    Book Introduction Python 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.

    • 8-11-2022
      Online Virtual
      €1.400,00
      €1.400,00
     

    What is Introduction Python

    Do you want to learn how to program in Python? And do you want to know how Python can help you get insights from your data and what you can do with these insights?
    Introduction to Python gives you the tools to develop yourself as a Data Analyst / Data Scientist by learning to clean, prepare, analyze and present data with Python.
    Topics covered in this training include:

    • What is Python and how can you start using it?
    • How does Jupyter Notebooks work?
    • Program building blocks like Data types, Variables, Operators
    • Program concepts like Conditionals, Loops, Functions
    • Clean data
    • Data analyses
    • Presenting data

    In addition, this training focuses specifically on the modules

    • Numpy
    • pandas
    • Plotly

    Besides that we will explain the theory behind the basic principles of Python on the basis of practical examples, you will also be in control a lot yourself. So you will immediately gain practical experience with Python. Afterwards you will have the tools to use Python yourself in your data analyses.

     
     

    Who should attend Introduction Python

    The Introduction to Python training is suitable for:

    • Starters at the start of their career
    • People with no (or little) experience in Python and/or no programming experience at all
    • Data Analysts
    • Data Scientists

    Prerequisites

    Beginning skills and general knowledge of data analysis. The 'Introduction to Data Analysis' course addresses these topics and is ideally suited to follow as a training course prior to this.

    Objectives

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

    • What is Python and how can I start using it?
    • How does Python help me clean, prepare, analyze and present my data?
     
    Group Dutch

    Do you want to learn how to program in Python? And do you want to know how Python can help you get insights from your data and what you can do with these insights?

    Training code
    CGAPYTINCD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    4
    Price
    €1.400,00
    excl. VAT No extra costs.

    Book Introduction Python 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.

    • 9-11-2022
      Utrecht
      €1.400,00
      €1.400,00
    • 9-5-2023
      Utrecht
      €1.400,00
      €1.400,00
     

    What is Introduction Python

    Do you want to learn how to program in Python? And do you want to know how Python can help you get insights from your data and what you can do with these insights?
    Introduction to Python gives you the tools to develop yourself as a Data Analyst / Data Scientist by learning to clean, prepare, analyze and present data with Python.
    Topics covered in this training include:

    • What is Python and how can you start using it?
    • How does Jupyter Notebooks work?
    • Program building blocks like Data types, Variables, Operators
    • Program concepts like Conditionals, Loops, Functions
    • Clean data
    • Data analyses
    • Presenting data

    In addition, this training focuses specifically on the modules

    • Numpy
    • pandas
    • Plotly

    Besides that we will explain the theory behind the basic principles of Python on the basis of practical examples, you will also be in control a lot yourself. So you will immediately gain practical experience with Python. Afterwards you will have the tools to use Python yourself in your data analyses.

     
     

    Who should attend Introduction Python

    The Introduction to Python training is suitable for:

    • Starters at the start of their career
    • People with no (or little) experience in Python and/or no programming experience at all
    • Data Analysts
    • Data Scientists

    Prerequisites

    Beginning skills and general knowledge of data analysis. The 'Introduction to Data Analysis' course addresses these topics and is ideally suited to follow as a training course prior to this.

    Objectives

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

    • What is Python and how can I start using it?
    • How does Python help me clean, prepare, analyze and present my data?
     
    Incompany

    Do you want to learn how to program in Python? And do you want to know how Python can help you get insights from your data and what you can do with these insights?

    Training code
    CGAPYTINCE
    Spoken Language
    English
    Language Materials
    English
    Dayparts
    4
    Price
    €1.400,00
    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.

     

    What is Introduction Python

    Do you want to learn how to program in Python? And do you want to know how Python can help you get insights from your data and what you can do with these insights?
    Introduction to Python gives you the tools to develop yourself as a Data Analyst / Data Scientist by learning to clean, prepare, analyze and present data with Python.
    Topics covered in this training include:

    • What is Python and how can you start using it?
    • How does Jupyter Notebooks work?
    • Program building blocks like Data types, Variables, Operators
    • Program concepts like Conditionals, Loops, Functions
    • Clean data
    • Data analyses
    • Presenting data

    In addition, this training focuses specifically on the modules

    • Numpy
    • pandas
    • Plotly

    Besides that we will explain the theory behind the basic principles of Python on the basis of practical examples, you will also be in control a lot yourself. So you will immediately gain practical experience with Python. Afterwards you will have the tools to use Python yourself in your data analyses.

     
     

    Who should attend Introduction Python

    The Introduction to Python training is suitable for:

    • Starters at the start of their career
    • People with no (or little) experience in Python and/or no programming experience at all
    • Data Analysts
    • Data Scientists

    Prerequisites

    Beginning skills and general knowledge of data analysis. The 'Introduction to Data Analysis' course addresses these topics and is ideally suited to follow as a training course prior to this.

    Objectives

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

    • What is Python and how can I start using it?
    • How does Python help me clean, prepare, analyze and present my data?
     
  • Related

    Fields of Expertise
    Data Analytics
     
  • 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
    D.10.Information and Knowledge Management     
    B.1.Application Development     
    E.1.Forecast Development     
    A.6.Application Design