Quick Start to Python Primer for Data Science Training in Germany

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

New - Explore basic Python skills to kickstart your data analysis journey—perfect for business users stepping into data-driven roles.

Dive into the dynamic world of Python with our Quick Start to Python for Data Science Primer, tailored specifically for data analysts, business analysts, and technical managers keen on grasping the essentials of Python. This introductory course offers a friendly first step into the programming language that’s become a staple in data science. Through engaging instructor-led presentations and light hands-on activities, you’ll explore Python in various environments, including traditional scripts and interactive web notebooks like Jupyter. Discover how to execute simple scripts, manage data with fundamental Python structures, and apply basic programming concepts to real-world data scenarios.

By the end of this course, you'll not only understand the core functionalities of Python but also appreciate how it can be leveraged in data science applications. You’ll be equipped to read and write basic files—a crucial skill for data management—and get introduced to powerful data science tools such as NumPy and Pandas for preliminary data analysis. Whether you’re preparing for more advanced training or looking to gain a quick, practical understanding of Python for your professional needs, this course promises a clear and concise introduction to the skills necessary to kickstart your journey in data science.



Who Should Attend?

This introductory-level technical course is geared for data analysts, developers, engineers or anyone new to Python, who are tasked with utilizing Python for data analytics tasks.

This course is geared for technical users, so some familiarity with basic scripting skills is recommended. Students should be comfortable working with files and folders as well as command line scripting.

This hands-on course provides a solid starting point for business analysts, technical managers, or anyone interested in understanding the basics of Python in the context of data science. Attendees will be able to:

  • Run Python Scripts: You will be able to execute basic Python scripts using both traditional script-based environments and interactive web notebooks like Jupyter, which is fundamental for beginning any data science project.
  • Manipulate Simple Data Structures: Gain the ability to handle simple operations with Python’s standard data structures (such as lists and dictionaries), enabling you to organize and manage data efficiently.
  • Apply Basic Python Commands for Data Analysis: Learn to use essential Python commands and functions for basic data analysis tasks, giving you a taste of what Python can offer in processing and analyzing data.
  • Read and Write Basic Files: Develop the skills to open, read, write, and close text files with Python, which is crucial for importing data for analysis and exporting results.

Get Acquainted with Python’s Data Science Libraries: Acquire a foundational awareness of how libraries like NumPy and Pandas are used in Python for tasks like statistical analysis and data manipulation, preparing you for further exploration in the field of data science.

  1. Getting Started: Explore the Python Environment
    • Python in the Shell
    • The python interpreter
    • Getting started with Jupyter notebook)
    • Python in Web Notebooks (iPython, Jupyter, Zeppelin)
    • Exploring Python, Notebooks, and Data Science
  2. Variables and Values
    • Using variables
    • Builtin functions
    • Strings
    • Numbers
    • Converting among types
  3. Basic Input and output
    • Writing to the screen
    • Command line parameters
  4. Flow Control
    • About flow control
    • White space
    • Conditional expressions
    • Relational and Boolean operators
    • While loops
    • Alternate loop exits
  5. Sequences, Arrays, Dictionaries and Sets
    • About sequences
    • Lists and list methods
    • Tuples
    • Indexing and slicing
    • Iterating through a sequence
    • Sequence functions, keywords, and operators
    • List comprehensions
    • Generator Expressions
    • Nested sequences
    • Working with Dictionaries
    • Working with Sets
  6. Working with files
    • File overview
    • Opening a text file
    • Reading a text file
    • Writing to a text file
    • Reading and writing raw (binary) data
  7. Functions, modules, & packages
    • Defining functions
    • Parameters
    • Variable Scope
    • Creating modules
    • Using import
    • Creating packages
  8. Python and Data Science
    • Python data science overview
    • NumPy Overview (with SciPy)
    • Pandas Overview
    • MatPlotLib Overview


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.

21 Februar 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
03 März 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
10 März 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
12 März 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
12 März 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
19 März 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
23 März 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
20 April 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
Quick Start to Python Primer for Data Science 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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