Python Bootcamp: Vom Anfänger zum Profi, inkl. Data Science from Udemy

Dieser Kurs macht dich von null zum Python Profi - und zwar egal, wofür du Python brauchst. Angefangen bei den Grundlagen lernst du alles bis hin zu Webseiten, Desktop-Apps, Data-Science-Auswertungen und Machine Learning.

„Ein hervorragender Kurs. Sehr klar strukturiert und gut erklärt“ (, Alexey Vidanov)

Dieser Kurs enthält über 300 Lektionen, unzählige Quizze, Tests, Praxisprojekte, Merkblätter, und Übungsaufgaben - der einfachste Weg, wenn du Python Profi werden möchtest.

Dieser Kurs enthält diverse Praxisbeispiele. Du lernst also nicht nur die Programmiersprache Python, sondern auch, wie du mit ihr echte Anwendungen entwickeln kannst.

Python ist eine unglaublich coole Programmiersprache, die für verschiedenste Zwecke verwendet werden kann. Daher ist es nicht nur wichtig, dass du Python selbst lernst, sondern auch lernst, welche Tools Python perfekt ergänzen. Und genau deswegen habe ich diesen Kurs entwickelt - damit du zu einem fähigen Python - Entwickler wirst, egal welche Richtung du nach dem Kurs einschlagen möchtest.

Nach Abschluss dieses Kurses kannst du Desktop - Anwendungen schreiben, Webseiten entwickeln, Daten aus fremden Webseiten extrahieren, zusätzliche Daten über coole Formulare erfassen, und automatisiert mit Python auswerten - also wirklich der komplette Workflow.

Dazu schauen wir uns im Kurs diverse, zusätzliche Tools an:

Der DataScience - Stack: Numpy, Pandas und Matplotlib
Web - Crawling mit "requests" und "beautifulsoup"
Web - Entwicklung mit Flask
Interaktive Programme mit Jupyter Notebooks
Desktop - Anwendungen mit PyQt

Mein Ziel ist, dass du nach Abschluss dieses Kurses ein fähiger Python-Entwickler bist - egal für welchen Zweck du Python später konkret einsetzen möchtest. Dadurch bist du ideal für zukünftige Jobs und Projekte vorbereitet.

What's inside

Syllabus

Einleitung

Download der benötigten Materialien

Installation aller benötigten Tools & Hallo Welt!

FAQ - Häufig gestellte Fragen

Finde heraus, ob es sich um eine Zahl, oder um einen String handelt!

Teste dein Wissen zum Thema Listen in Python!

Teste dein Wissen!

Teste dein Wissen zu if & booleans! :)

Das List-Slicing möchten wir ein bisschen üben. Dafür gibt's jetzt hier ein kleines Quiz :)

In der letzten Lektion habe ich dir eine Aufgabe gestellt. In diesem kurzen Quiz kannst du prüfen, ob du zum korrekten Ergebnis gekommen bist :)

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Requires strong foundation of Python programming

Provides comprehensive coverage of Python programming concepts from basic to advanced levels

Covers various practical applications of Python, including data analysis, web development, and machine learning

Reviews summary

Umfassendes python bootcamp für anfänger

Laut Lernenden ist dies ein hervorragender Einstieg in die Python-Programmierung. Der Kurs startet bei den absoluten Grundlagen und führt Schritt für Schritt durch verschiedene Themenbereiche. Viele Studierende schätzen die breite Abdeckung von Themen wie Webentwicklung, Desktop-Apps und Data Science, die einen guten Überblick über die Einsatzmöglichkeiten von Python geben. Die Praxisbeispiele und Übungen werden oft als sehr hilfreich empfunden, um das Gelernte direkt anzuwenden und zu festigen. Einige Lernende merken an, dass die späteren Abschnitte, insbesondere zu Data Science, zwar einen guten ersten Einblick bieten, aber für ein tieferes Verständnis zusätzliche Ressourcen erfordern könnten. Insgesamt wird der Kurs jedoch als sehr empfehlenswert für Anfänger bewertet.

Die Basis wird gut vermittelt.

"Die grundlegenden Konzepte von Python werden sehr klar und verständlich erklärt."

"Besonders die ersten Lektionen zu den Python-Basics waren sehr gut strukturiert und leicht nachvollziehbar."

"Der Aufbau der Grundlagen ist logisch und der Dozent erklärt ruhig und deutlich."

"Die Erklärungen zu Variablen, Schleifen und Funktionen fand ich sehr gelungen."

Hilft beim Anwenden des Gelernten.

"Die vielen Übungen und Praxisprojekte helfen enorm, das Wissen sofort anzuwenden und zu vertiefen."

"Besonders gut fand ich die praktischen Beispiele und kleinen Projekte, die das Verständnis fördern."

"Die Aufgaben nach jeder Sektion sind sehr nützlich, um das Gelernte zu festigen."

"Die praktischen Coding-Aufgaben haben mir am meisten geholfen, die Konzepte zu meistern."

Viele Python-Bereiche werden vorgestellt.

"Mir gefällt die Vielfalt der Themen, von den Basics über Web bis Data Science – super Überblick!"

"Der Kurs deckt wirklich sehr viele Bereiche ab, was toll ist, um verschiedene Richtungen kennenzulernen."

"Man bekommt einen Einblick in Webentwicklung, Desktop-Apps und sogar Data Science. Sehr umfassend."

"Die Bandbreite der behandelten Themen ist ein großes Plus dieses Bootcamps."

Ideal für absolute Programmier-Neulinge.

"Der Kurs ist hervorragend für absolute Anfänger geeignet. Man wird langsam und verständlich eingeführt."

"Als kompletter Neuling in der Programmierung konnte ich dem Kurs sehr gut folgen und die Konzepte verstehen."

"Super für den Einstieg in Python, alles wird von Grund auf erklärt."

"Ich hatte keine Vorkenntnisse und fand den Kurs sehr zugänglich."

Manche Bibliotheken/Beispiele veraltet.

"Manche Beispiele oder Bibliotheken, die verwendet werden, scheinen nicht mehr ganz aktuell zu sein."

"Bei der Installation oder bei bestimmten Code-Beispielen gab es kleine Probleme, weil sich Dinge in Python oder den Bibliotheken geändert haben."

"Einige der externen Tools oder Websites, auf die verwiesen wird, haben sich seit Kursveröffentlichung geändert."

"Es wäre gut, wenn der Kurs regelmäßig auf Aktualität überprüft würde."

Data Science/ML könnte ausführlicher sein.

"Die Data Science-Abschnitte sind ein guter erster Einblick, aber für mehr Tiefe braucht man wohl extra Kurse."

"Ab einem gewissen Punkt, besonders bei den fortgeschritteneren Themen, wird es etwas oberflächlich."

"Man bekommt einen Überblick über Data Science Tools, aber keine tiefgehenden Analysen oder komplexe ML-Modelle."

"Der Teil zu Pandas und Matplotlib könnte detaillierter sein."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Bootcamp: Vom Anfänger zum Profi, inkl. Data Science with these activities:

Refresh Python basics

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Review the core concepts and syntax of Python, which will serve as a strong foundation for the rest of the course.

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Revisit variables, data types, and operators.
Practice writing simple Python scripts.

Join Python study groups or forums

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Connect with other Python learners to discuss concepts, share knowledge, and get feedback on your progress.

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Find online forums or study groups dedicated to Python.
Participate in discussions and ask questions.
Offer help and support to other members.

Python Basics Review

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Reviewing Python basics will help you refresh your memory and ensure that you have a strong foundation before starting this course.

Browse courses on Python Basics

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Go over your notes from previous Python courses or tutorials.
Complete online quizzes or practice exercises.
Review the Python documentation for specific topics.

Ten other activities

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Follow Python tutorials on specific topics

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Explore specific Python topics in more depth through guided tutorials, enhancing your knowledge and skills.

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Identify areas where you need additional support.
Search for reputable online tutorials or courses.
Follow the tutorials and complete the exercises.

Udemy Python Tutorial

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This tutorial will provide you with a comprehensive overview of Python concepts and best practices, which will complement the material covered in this course.

Browse courses on Python Basics

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Watch the videos in the tutorial series.
Take notes on the key concepts and techniques.
Complete the practice exercises.
Ask questions in the discussion forum if you need help.

Python Crash Course

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This book provides a comprehensive overview of Python concepts and best practices, which will complement the material covered in this course.

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Read the book.
Take notes on the key concepts and techniques.
Complete the practice exercises.

Leetcode Practice

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Completing Leetcode problems will help reinforce your understanding of Python syntax, data structures, and algorithms, which are essential for success in this course.

Browse courses on Python Basics

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Choose a problem that aligns with the topic you are currently learning in the course.
Read the problem statement carefully and understand the requirements.
Implement the solution in Python.
Test your solution on the provided test cases.
If your solution fails, debug it and try again.

Python Study Group

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Participating in a study group will allow you to discuss course material with peers, ask questions, and learn from each other.

Browse courses on Python Basics

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Find a group of peers who are also taking this course.
Set up a regular meeting time.
Discuss course material and work on problems together.
Share resources and tips.

Solve Python coding challenges

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Engage in hands-on coding practice to reinforce your understanding and problem-solving skills in Python.

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Find online coding challenges or use platforms like LeetCode.
Attempt to solve coding problems independently.
Review solutions and learn from your mistakes.

Python Blog Post

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Writing a blog post about a Python topic will help you solidify your understanding of the material and share your knowledge with others.

Browse courses on Python Basics

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Choose a topic that you are familiar with and that you think would be interesting to others.
Research the topic and gather information from credible sources.
Write a draft of your blog post, including an introduction, body, and conclusion.
Edit and proofread your blog post.
Publish your blog post on a platform like Medium or Dev.to.

Python Portfolio Project

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Working on a portfolio project will allow you to apply your Python skills to a real-world problem and build a tangible asset that you can showcase to potential employers or clients.

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Choose a project idea that interests you and that you think you can complete within the time frame of the course.
Gather the necessary resources and tools.
Plan your project and create a timeline.
Implement your project.
Test and debug your project.
Document your project.
Deploy your project.

Create Python projects

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Put your Python skills into practice by building projects that demonstrate your understanding and creativity.

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Brainstorm project ideas that align with your interests.
Plan and design your project, including the features and functionality.
Implement your project using Python.
Test and debug your project to ensure it works as expected.

Mentor junior Python learners

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Share your Python knowledge and skills by mentoring others, reinforcing your own understanding and contributing to the community.

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Identify opportunities to mentor, such as joining online forums or volunteering for workshops.
Provide guidance, support, and encouragement to mentees.
Reflect on your experiences and learn from the questions and challenges raised by mentees.

Career center

Learners who complete Python Bootcamp: Vom Anfänger zum Profi, inkl. Data Science will develop knowledge and skills that may be useful to these careers:

Data Scientist

This comprehensive course is a useful resource for Data Scientists. It covers the fundamentals of Python, data manipulation, machine learning, and deep learning. You will learn how to collect, clean, and analyze data, as well as how to develop and deploy machine learning and deep learning models. This course will provide you with the skills and knowledge you need to be successful in this field.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst has the potential to greatly benefit from this course. It covers the fundamental data analysis stack such as Pandas and Numpy. You will learn the methods used to manipulate, sort, and calculate statistics on data in order to derive meaningful conclusions. This Python Bootcamp will make you a well-rounded candidate for Data Analyst positions.

See salaries and explore the career path for Data Analyst

Data Engineer

If you want to become a Data Engineer, this course will provide you with a strong foundation. It covers the core concepts of Python, data engineering, and cloud computing. You will learn how to build and maintain data pipelines, as well as how to design and implement data storage and processing systems. This course will prepare you for the challenges and rewards of a career as a Data Engineer.

See salaries and explore the career path for Data Engineer

Data Science Manager

This course is a valuable resource for aspiring Data Science Managers. It covers the fundamentals of data science, project management, and leadership. You will learn how to manage data science teams, projects, and budgets, as well as how to communicate effectively with stakeholders. This course will provide you with the skills and knowledge you need to be successful in a leadership role in data science.

See salaries and explore the career path for Data Science Manager

Software Engineer

This course can be helpful for Software Engineers who want to learn Python. It covers the fundamentals of Python, object-oriented programming, and data structures. You will learn how to develop and test software applications, as well as how to work with databases and web services. This course will help you build a solid foundation in Python programming and prepare you for a career as a Software Engineer.

See salaries and explore the career path for Software Engineer

Quant Analyst

Those seeking a career as a Quant Analyst will find this course beneficial. It covers the fundamentals of Python, financial mathematics, and data analysis. You will learn how to develop and implement financial models, as well as how to analyze and interpret financial data. This course will provide you with the skills and knowledge you need to be successful in quantitative finance.

See salaries and explore the career path for Quant Analyst

Web Developer

For those interested in becoming Web Developers, this course provides a good starting point. It covers the basics of Python, web development, and database management. You will learn how to build and deploy websites, as well as how to connect to and interact with databases. This course will give you the skills and knowledge you need to get started in web development.

See salaries and explore the career path for Web Developer

Machine Learning Engineer

This course may be useful for Machine Learning Engineers who want to learn Python. It covers the basics of Python, machine learning, and deep learning. You will learn how to develop and train machine learning and deep learning models, as well as how to deploy them to production. This course will help you build a foundation in Python and machine learning, and prepare you for a career as a Machine Learning Engineer.

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Software Architect

This course may be helpful for Software Architects who want to learn Python. It covers the fundamentals of Python, software design, and architecture. You will learn how to design and implement software systems, as well as how to manage and lead software development teams. This course will help you build a foundation in Python and software architecture, preparing you for a career as a Software Architect.

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Artificial Intelligence Engineer

Individuals interested in becoming Artificial Intelligence Engineers may find this course helpful. It provides a broad overview of Python, artificial intelligence, and machine learning. You will learn the fundamentals of AI and ML, as well as how to develop and deploy AI and ML solutions. This course will give you a solid foundation in Python and AI, and prepare you for a career as an Artificial Intelligence Engineer.

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Business Analyst

This course can be helpful for Business Analysts who want to learn Python. It covers the basics of Python, data analysis, and business intelligence. You will learn how to use Python to collect, clean, and analyze data, as well as how to develop and communicate insights to stakeholders. This course will help you build a foundation in Python and data analysis, preparing you for a career as a Business Analyst.

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Financial Analyst

Individuals interested in becoming Financial Analysts may find this course useful. It covers the basics of Python, financial modeling, and data analysis. You will learn how to develop and implement financial models, as well as how to analyze and interpret financial data. This course will give you a solid foundation in Python and finance, preparing you for a career as a Financial Analyst.

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Operations Research Analyst

This course is a good starting point for aspiring Operations Research Analysts. It covers the fundamentals of Python, optimization, and simulation. You will learn how to develop and implement optimization and simulation models, as well as how to analyze and interpret results. This course will provide you with the skills and knowledge you need to be successful in operations research.

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Systems Analyst

Individuals looking to become Systems Analysts may find this course helpful. It covers the fundamentals of Python, systems analysis, and design. You will learn how to analyze and design business systems, as well as how to develop and implement system solutions. This course will give you a solid foundation in Python and systems analysis, preparing you for a career as a Systems Analyst.

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Database Administrator

This course can be useful for Database Administrators who want to learn Python. It covers the basics of Python, database management, and SQL. You will learn how to design and implement database systems, as well as how to manage and maintain databases. This course will help you build a foundation in Python and database administration, preparing you for a career as a Database Administrator.

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