Python for Data Handling and Integration with OpenAI ChatGPT Training in Germany

  • Learn via: Classroom
  • Duration: 3 Days
  • Level: Intermediate
  • Price: From €2,463+VAT
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We can host this training at your preferred location. Contact us!

This course provides an in-depth introduction to programming for data handling and analysis, using Python and its powerful libraries such as Pandas. It covers the basics of Python programming, data structures, flow control, functions, and progresses to advanced data manipulation techniques. The course also integrates OpenAI's capabilities with Python for various business applications.

Target Audience

The course is designed for individuals who have experience working with data using data analysis tools such as Excel and are looking to enhance their skill set in data handling and analysis through programming. This includes data analysts, business analysts, aspiring data scientists, and anyone interested in leveraging Python and OpenAI for data-driven solutions in business.

  • Some experience working with data.
  • Algorithmic thinking

You will learn how to:

  • Understand the fundamentals of programming with a focus on data handling.
  • Learn to use Python and its IDEs for writing and running programs.
  • Master data structures, flow control, and functions in Python.
  • Gain proficiency in using Pandas for data manipulation and cleaning.
  • Integrate and utilize OpenAI with Python for business applications.
  • Apply model tuning, evaluation, and monitoring techniques.
  • Explore practical examples and case studies demonstrating OpenAI in business contexts.

1. Introduction to Programming for Data Handling:

  • Overview of programming concepts for data handling.
  • Introduction to Python as a programming language for data analysis.
  • Basic Python syntax and structure.

2. Introduction to Python and IDEs:

  • Detailed introduction to Python, focusing on its strengths in data handling.
  • Overview of various Integrated Development Environments (IDEs) compatible with Python.
  • Setting up a Python development environment.

3. Data Structures, Flow Control, Functions & Basic Types:

  • Exploration of Python's data structures (lists, tuples, dictionaries, sets).
  • Understanding flow control (loops, conditionals).
  • Introduction to functions and basic data types in Python.

4. Introduction to Pandas:

  • Introducing Pandas library for data manipulation and analysis.
  • Basic operations with Pandas DataFrames.
  • Reading and writing data using Pandas.

5. Data Cleaning with Pandas:

  • Techniques for cleaning and preprocessing data.
  • Handling missing data, outliers, and data transformation.
  • Practical examples of data cleaning.

6. Data Manipulation with Pandas:

  • Advanced data manipulation techniques with Pandas.
  • Aggregation, filtering, and transformation of datasets.
  • Real-world examples of data manipulation.

7. Integrating OpenAI with Python:

  • Overview of OpenAI's capabilities.
  • How to integrate OpenAI APIs with Python.
  • Practical applications and examples.

8. Tuning Your Model:

  • Techniques for optimizing and tuning machine learning models.
  • Practical tips for model tuning.

9. Applications of OpenAI in Business:

  • Exploring various business applications of OpenAI.
  • Case studies demonstrating the impact of OpenAI in different industries.
  • Future trends in AI and business.

10. Practical Examples and Case Studies:

  • A collection of real-world case studies and practical examples.
  • Demonstrating the application of the concepts learned in previous modules.
  • Insights into practical challenges and solutions in data handling and AI.
Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

02 Januar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
09 Januar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
20 Januar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
€2,463 +VAT
Book Now
02 Januar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
09 Januar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
10 Februar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
20 Januar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
€2,463 +VAT
Book Now
10 Februar 2025 (3 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
Python for Data Handling and Integration with OpenAI ChatGPT Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.


Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.

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