Design Principles for Software Development with Object-Oriented Programming

Python – Focus Object-Oriented Programming

Data Scientist course description

With the Python – Focus Object-Oriented Programming course, you will bring your Python skills to the next level. It teaches you the principles and best practices of object-oriented programming so that you can implement your software projects even more efficiently.

In the Data Scientist  course you will learn:  

Process functions and lists in Python

Working with selected OOP classes & attributes

Interactive interim project on best practice handling of work processes

Object-oriented programming focusing on classes and attributes

Using inheritance to reuse code

Advanced functions for simplifying classes

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Target Audience  

The mid level course is designed for those who already have experience with Python and want to use the programming language effectively in a professional context.

Prerequisites for participation 

No prior knowledge or programming skills are required for the course.

Online course

32 hours

5 chapters + 2 exercise projects

Mid level

German

Certificate of completion

Every 1-2 months

€1,990.00

incl. VAT

What to Expect

Course Overview

Feature 1

From data literacy courses for beginners with no prior knowledge to retraining in data science and AI for domain experts - we cover all career levels.

Feature 2

Learning by doing is very important to us - we focus 90% on interactive formats, real business cases and coding challenges.

Feature 3

We guarantee your learning success - with weekly webinars, support via email, telephone or forum and standardised off- and onboarding.

Feature 1

From data literacy courses for beginners with no prior knowledge to retraining in data science and AI for domain experts - we cover all career levels.

Feature 2

Learning by doing is very important to us - we focus 90% on interactive formats, real business cases and coding challenges.

Feature 3

We guarantee your learning success - with weekly webinars, support via email, telephone or forum and standardised off- and onboarding.

Modules

Chapter 1 – Advanced Python

In the first chapter you will look at defining functions in more detail and learn
about default values, type hints and assert statements. Afterwards, you can
use functions even more effectively as tools for your projects. You will work
with the concepts of list comprehension and dictionary comprehension to
efficiently create lists and dictionaries. At the end of the chapter you will learn
how to adapt your code to the PEP8 industry standard by means of layout and
structure.

Chapter 2 – OOP Basics

In the second chapter, you will learn what OOP is, which programming
principles are based on it, and which conclusions you can draw from it,
using simple examples. In the main part of the chapter, you will explore how
classes and attributes are defined and used. You will use examples to examine
instance methods, how they’re used and defined with method chaining.
You‘ll learn what the self keyword is, as well as how to distinguish debugging
from class definitions. Finally, you will test your previous knowledge in an
interactive interim project and repeat the exercises from the chapter.

Chapter 3 – OOP Concepts

In the third chapter, you will learn what inheritance and composition are and
how to use these concepts in use cases. In addition to simple inheritance, you
will also learn more advanced methods such as inheritance hierarchy and
multiple inheritance. In doing so, you‘ll practice deep inheritance methods
to make data reusable from parent to child classes, to compensate for data
loss. Finally, you will learn the most important best practices for unit testing in
order to detect errors in your code before your users find them.

Chapter 4 – Advanced OOP

In the fourth chapter, you will deal with more advanced concepts of
object-oriented programming, which you will use in your daily work.
You will study the difference between programs and modules and
what role __main__ plays. You will learn what decorators are and how
to use property decorators optimally. You will look at static and class
methods and what special methods and class representations you
can use with __str_() and _repr_(). Based on this, you will learn about
the possibilities offered by operator overloading as well as other
important methods from the Python Standard Library and then apply
what you have learned in a business-relevant interim project.

Chapter 5 – OOP Applications & Final Projects

In the fifth chapter, you will demonstrate your knowledge in two
larger projects that represent classic use cases of object-oriented
programming. In the first project, you‘ll build your own interface for a
popular data science library that makes it possible to apply machine
learning or data or text analytics methods. The second project deals
with programming your own blockchain, where you will learn more
about the underlying concepts.

12.03.2021

Duration: 18 Weeks

12.04.2021

Duration: 18 Weeks

12.05.2021

Duration: 18 Weeks

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WHY STACKFUEL 

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Whether you are an employee, a manager, or looking for a job – we will help you become a data expert with our certified and fundable 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. 

The Data Lab really offers added value, you notice instantly how the practical exercises are relevant to your work. The tasks were always clearly described and presented. So I always knew what to do. The course itself was a great experience!

Alexander GroßData Analyst at AIC Portaltechnik

The greatest added value for me is the content’s practical relevance. Thanks to StackFuel, I can quickly implement what I've learned and adapt it for my situation. That's the real learning success behind the online courses.

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The online StackFuel course content was very hands on. There were a great deal of good examples and projects. I found it very interesting and instructive. My professional life has changed significantly since the course - I am now a data analysis specialist in my department.

Jaroslaw Wojciech SulakSpecialist for data analysis at IAV GmbH

The flexible and user-friendly course completely changed my view of complex data structures. Thanks to the sustainable and well thought-out learning concept, as well as the seamless application of the course content in the coding environment, I can now put the skills I learned into practice in my day-to-day work in test automation and process data more easily and efficiently.

Jenny LindenauTechnical Manager Test Management at Bank Deutsches Kraftfahrzeuggewerbe GmbH

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Python – Focus Object-Oriented Programming

Design Principles for Software Development with Object-Oriented Programming

Type:

Online course

Duration:

32 hours

Check out our learning platform now!

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Python – Focus Object-Oriented Programming

Data Scientist course description

In the Data Scientist  course you will learn:

Target Audience