Module

Python Basics.

Practical introduction to programming with Python

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Module description
Part time
|
German, English

With the training Python Basics you get the most important basics for programming with Python and a guideline to automate your own work processes by reading, processing and storing local data with selected libraries.

In this module you will learn:
Data types
Control structures
Functions and methods
  • learn and use the Python programming language
  • selected libraries for reading, processing and
    Use local data storage
  • Final project for the automation of work processes
Table of contents

1
Data Types
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In this chapter you‘ll get to know our programming environment - the Data Lab - and execute your first code commands. You will learn how to represent data or text in Python. Using a set of rules, you will learn how to create, assign and test data in variables. You will then learn how to read out common error messages and practice how to use them productively in your daily work. You will also get to know basic Python standard functions such as type() or str() and then use them in practical examples. After you‘ve learned about the if statement and can use it to condition the flow of your code, you‘ll finish the chapter with the first part of a two-hour mini-project: You will program a user interface that reacts flexibly to the user‘s input.

2
Flow Control
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In the second chapter you will work out two essential operations to make your code even more flexible: You will learn about lists and for loops. Lists allow more flexibility in storing data and are essential for advanced programming. You will learn how to create them, and how to change them in a targeted manner. You will use lists to extend the functionality of your user interface from the first chapter and complete the first mini-project. After that, you will work with for-loops that allow you to automatically execute your code multiple times, taking you to the next level of programming. Chapter overview.

3
Functions, Modules and Methods
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In the third chapter, you‘ll round out your programming skills in Python and learn advanced techniques. These include functions and methods. You‘ll learn to define functions on your own, so you can structure your code better. You will also combine individual programming elements such as conditions, loops and functions together within programs. Using different methods, you will learn how to import Python modules correctly and how to ensure functionality as a whole. You will build on this by learning how to import and export data as a simple test. A one-hour mini-project using telephone data will allow you to consolidate what you have learned in the chapter.

4
Python Applications
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In the fourth chapter, recap what you learned in chapters 1-3, as well as learning some new skills. You will learn what dictionaries are, and how they can make your code more efficient. You will get to know complex data structures that you will need for your final project. In a four-hour practical project to create a complex user interface to facilitate automated processing of customer inquiries, you will need to combine everything you learned in the previous chapters.
You want this module detached from the entire training program and without an education voucher complete? We offer flexible payment and financing options for self-paying participants. Please contact directly to our consulting team for more information.

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FAQ

Our training courses are developed and produced by our own team of data scientists and subject matter experts, who provide you as a participant with personal mentoring during the course. We not only focus on realistic and practical content, but also ensure that all your questions are answered in a personal exchange and thus guarantee your learning success.

Thanks to our "learning-by-doing" principle, you will learn in our interactive learning environment with realistic data sets and real business cases from the industry, preparing you perfectly for a successful career start in a data job.

With StackFuel, you can rely on a market leader with Germany's most innovative learning platform to develop your data skills in a practical way. In certified training programs, you learn online, flexibly and with 80 % of practical content.

This will enable you to make a lateral entry as a data analyst or data scientist and learn how to use data and the basics of artificial intelligence professionally. Your new data career starts with your online training at StackFuel.

Data has become an integral part of our (professional) lives. In almost all areas, data helps you to better understand facts and make more precise decisions. Data skills are the key to being able to use and interpret data correctly. Even though you may not realize it, you work with, interact with and generate data every day.

This data is becoming increasingly important for companies and is the basis for decisions and business models, which makes data professionals incredibly important for companies.

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