Tools for Programming with Python

Python Basics

Course description

In the Python Basics course, you will learn the most important skills for programming in Python and get 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  

    The beginner’s course is designed for anyone who wants to learn the Python programming language. Python is a universal language that can be used for a variety of purposes, e.g. in data analysis, software development and web development. The continuing training is the perfect way to get started with these topics. The course is also suitable for career changers without programming experience.

    Prerequisites for participation 

    No prior knowledge or programming skills are required for the course.
    Online course
    32 hours
    4 chapters + 1 final project
    Entry level
    German or English
    Certificate of completion

    Every 1-2 months

    €1,990.00
    incl. VAT
    What to Expect

    Course Overview

    Python Programming

    Python Programming is the number one skill you need for machine learning and data science and is especially easy to learn.

    Interactive mini-projects

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

    Final project

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

    Python Programming

    Python Programming is the number one skill you need for machine learning and data science and is especially easy to learn.

    Interactive mini-projects

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

    Final project

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

    Modules

    In this chapter, you will be introduced to our programming
    environment, the Data Lab, for the first time and run your
    first commands.
    • 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
    In this chapter, you’ll learn important basic programming skills.
    • Conditions (if-else logic)
    • Using standard Python functions such as len() orsum()
    • Methods for text and list data types, e.g. str.format() or list.append()
    • Defining truth values with comparison operators and
    representing them as bool
    • Two-hour mini-project with car data to apply the skills you have learned
    In the third chapter, participants polish their programming skills
    in Python and acquire advanced coding techniques. You will also
    combine individual programming elements such as conditions, loops
    and functions together within programs.
    • Writing for loops and combining them with conditions
    • Writing functions and checking their performance
    • Importing Python modules
    • Importing data as plain text and exporting it again
    • One-hour mini-project using telephone data to apply
    the skills you have learnedlls
    In this chapter, you will strengthen what you have learned in the
    previous chapters, and learn the aspects listed below. This is all good
    preparation for the final project at the end of the chapter.
    • Sets
    • List comprehension
    • Complex data structures
    • NumPy Arrays
    • Four-hour final project on automating work processes

    Download the curriculum now.

    Curriculum_PYB
    Curriculum_PYB
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    Künstliche Intelligenz in Unternehmen: AI Literacy hilft Dir dabei, den Einsatz von KI in Unternehmen besser zu verstehen und Du bekommst die nötigen Kernkompetenzen, um bestehende und neue KI-Anwendungen anhand verschiedener Szenarien aus dem Business-Alltag sicher zu verstehen, für Dein Unternehmen erfolgreich zu übertragen und mit ihnen zu interagieren.
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