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This course is run in German as well: Effiziente Datenanalyse mit Pandas
"In the world of data, Pandas is your Swiss army knife."
"If you think pandas are cute, wait until you see what Pandas can do with your data."
"Pandas: Your best friend for cleaning, analyzing, and mastering data."
All our courses are made-to-measure your expectations and are conveniently scheduled and delivered at various locations: Lake Constance or Berlin in Germany, Toronto in Canada. London in England. On-site training at the location of your choice is no problem. We offer in-house training courses all over Canada and Europe, especially in Germany, Switzerland, Austria, Luxembourg, Italy, the Netherlands and England and the UK. Covering cities like Munich, Stuttgart, Frankfurt, Saarbrücken, Zürich, Bern, Basel, Luzern, Bregenz, Strasbourg, Paris, Rhome, Amsterdam, London, and Toronto in Canada.
Efficient Data Analysis with Pandas
This course has been held as an online training course since March 2020. Further Information!
This course imparts the necessary skills to analyze, visualize, and present data using the Python module Pandas. The theoretical foundations are reinforced with many practical exercises and a final project.
Target Group:
This training is aimed at programmers who already have basic knowledge of Python or have attended our course "Python in 2 Days" and now want to delve deeply into Pandas for the purpose of data analysis and data visualization.
Our other Python-Courses:
Content:- Python Course for Beginners
- Python Intensive Course
- Python for Engineers and Scientists
- Data Analysis with Python
- Object Oriented Programming with Python
- Python Training: OOP, Programming Patterns, and Testing
- Python Training: OOP and Functional Programming
- Python Text Processing Course
- Testing and test-automation in Python with Pytest
- Python and XML Course
- Python and Bash Programming
- Introduction to Tkinter
- Python and C++ Course
- Django Python Web Application Framework
- Series Data Type
- From Series to DataFrame Data Type
- Series, DataFrames, and Dictionaries
- Working with DataFrames
- Working with Various Data Formats
- Reading and Writing CSV and DSV Files
- JSON
- Working with Excel Files
- Reading Data from Databases
- Hierarchical Indexing / MultiIndex
- Handling Incomplete Data, NaN
- Plotting Pandas Objects
- Histogram
- Bar Plot
- Scatter Plot
- Pie Charts
- Comprehensive Example Project to Apply What You've Learned
Lecturer: Dipl.-Informatiker Bernd Klein (author of the books "Einführung in Python", "Numerisches Python", "Funktionales Programmieren mit Python"), longtime lecturer at the University of Freiburg, and the computer scientist Philip Klein, Master of Science and author of the book "Funktionales Programmieren mit Python".
Dates:
- From Mon, 20th Oct, 2025 until Tue, 21st Oct, 2025 (2 days)
- From Mon, 1st Dec, 2025 until Tue, 2nd Dec, 2025 (2 days)
- From Mon, 12th Jan, 2026 until Tue, 13th Jan, 2026 (2 days)
- From Mon, 16th Feb, 2026 until Tue, 17th Feb, 2026 (2 days)
- From Mon, 9th Mar, 2026 until Tue, 10th Mar, 2026 (2 days)
- From Mon, 13th Apr, 2026 until Tue, 14th Apr, 2026 (2 days)
- From Mon, 8th Jun, 2026 until Tue, 9th Jun, 2026 (2 days)
- From Mon, 22nd Jun, 2026 until Tue, 23rd Jun, 2026 (2 days)
- From Mon, 27th Jul, 2026 until Tue, 28th Jul, 2026 (2 days)
- From Mon, 7th Sep, 2026 until Tue, 8th Sep, 2026 (2 days)
- From Mon, 19th Oct, 2026 until Tue, 20th Oct, 2026 (2 days)
- From Mon, 30th Nov, 2026 until Tue, 1st Dec, 2026 (2 days)
Duration of the course:
2 days
The fees for this Python course per day:
- ONLINE:
- €405 per day (exclusive of VAT)
- Toronto, Canada:
- $567 per day (exclusive of HST)
- Lake Constance, Hemmenhofen, Germany:
- €405 per day (exclusive of VAT)
plus € 139 for full board and lodging in 4 star hotel- €405 per day (exclusive of VAT)
- Hamburg, Munich, Frankfurt, Berlin (Germany):
- €431 per day (exclusive of VAT)
- Zurich and Geneva (Switzerland):
- £431 per day (exclusive of VAT)
Attention:
The price comprises:
Extensive course material
The price comprises:
Extensive course material
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