Grundlagenwissen für datengetriebenes Denken und Arbeiten

Python Basics (en)

Course description

One of the benefits of digitalization is that many everyday work processes can now be automated. On the one hand, this can take pressure off employees and, on the other, increases productivity and capacity for strategic and conceptual tasks. Basic programming skills are often already enough to make day-to-day tasks easier by automating processes. In our Python Basics course, you will learn the most important basic skills for programming in Python and a guideline for automating your own work processes by reading, processing and saving local data with selected libraries.

In this course you will learn:  

  • Use the Python programming language
  • Use selected libraries to read, process and store local data
  • Automate your work processes
  • Play Video

    Target Audience  

    This training is exactly the right thing for you if you want to present data-driven results in your company and expand your existing presentation skills with modern visualization methods.

    Prerequisites for participation 

    No prior programming knowledge is required for this course.
    Online course
    32 hours
    4 modules + 2 mini-projects + 1 final project
    Beginner 
    English or German
    Certificate of participation
    €790.00 plus VAT
    €940.10 incl. VAT
    19.04.2021
    WHAT TO EXPECT 

    Course overview  

    Data Literacy

    Python is the number one programming language for machine learning and data science and is relatively easy for beginners to learn.

    Experteninterviews

    Apply and consolidate what you have learned in two interactive mini-projects on car and phone data, so you can use your new skills in day-to-day life.

    engagiertes Mentoring

    In your final project, you will apply the skills you have learned to efficiently automate your workplace.

    Modules

  • Represent data as numbers or text in Python
  • Store data in variables and lists
  • Create, access and modify lists
  • Read error messages and use them productively
  • Conditions

  • Use built-in Python functions like len() or sum()

  • Learn methods for text and list data types, e.g. str.format() or list.append()

  • Represent truth values with the bool data type and define them with comparison operators

  • Two-hour mini-project with car data to consolidate what you have learned so far
  • Write for-loops and link them with conditions

  • Write your own functions and check how they work

  • Import Python modules

  • Import data as simple text and export it

  • One-hour mini-project with phone data to reinforce your new skills
  • Sets

  • List comprehension

  • Complex data structures

  • Numpy arrays

  • Four-hour final project on automating work processes
  • Start dates 

    19.04.2021

    Duration: 5 Weeks

    17.05.2021

    Duration: 5 Weeks

    14.06.2021

    Duration: 5 Weeks

    Lade Dir jetzt das Curriculum herunter.

    LEARNING ENVIRONMENT

    Train online in your browser in our interactive learning platform.   

    StackFuel provides an innovative learning environment to develop your data skills in the most effective way – interactively and with real-world exercises. Learn to code in our Data Lab and develop algorithms and automate things with real industry datasets. Learn more now and benefit from 80% practical content in our courses. 
    WHY STACKFUEL 

    We are your strategic learning partner - including mentoring & support.   

    Whether you are an employee, a manager, or looking for a job – we will help you become a data expert with our certified upskilling and reskilling courses, which are suitable for every specialist department and every career level. We’ll ensure you learn successfully with our dedicated mentoring team to keep an eye on your progress. Our practical tasks and projects will prepare you for dealing with the latest technologies and applications.  
    Feedback
    What our graduates say. 

    Check out our other courses. 

    Training Data Storytelling
    Data Storytelling EN
    Guide for the successful communication of data
    TYP:
    Online course
    Dauer:
    6 hours
    Deep Learning Training
    Quickstart Deep Learning  EN
    Practical introduction with Python, TensorFlow and Keras.
    TYP:
    Online course
    Dauer:
    6 hours
    Data Awareness (en)
    Basics for data-driven thinking and working
    TYP:
    Online course
    Dauer:
    12 hours

    Check out our learning platform now! 

    Find out why more and more leading companies are using StackFuel to train their employees online. In your call with us, you’ll learn how your company can build data skills and make your workforce transformation a success.