Python Courses:: Efficient Data Analysis with Pandas

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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 tailored to meet your expectations and are conveniently scheduled and delivered at Lake Constance or the location of your choice, if you prefer onsite training. We offer onsite training all over Europe, especially in Germany, Switzerland, Austria, Luxembourg, Italy, the Netherlands, France, England and the UK. Covering cities like Munich, Stuttgart, Frankfurt, Saarbrücken, Zürich, Bern, Basel, Luzern, Bregenz, Strasbourg, Paris, Rome and London.

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:
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
Content:

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, 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)

From Mon, 18th Jan, 2027 until Tue, 19th Jan, 2027 (2 days)

From Mon, 22nd Feb, 2027 until Tue, 23rd Feb, 2027 (2 days)

From Mon, 8th Mar, 2027 until Tue, 9th Mar, 2027 (2 days)

From Mon, 10th May, 2027 until Tue, 11th May, 2027 (2 days)

From Mon, 7th Jun, 2027 until Tue, 8th Jun, 2027 (2 days)

From Mon, 21st Jun, 2027 until Tue, 22nd Jun, 2027 (2 days)

Duration:
2 days

Prices for this Python course per day:
ONLINE:
€405 per day (exclusive of VAT)
Lake Constance, Hemmenhofen, Germany:
€405 per day (exclusive of VAT)
plus € 139 for full board and lodging in 4 star hotel
Hamburg, Munich, Frankfurt, Berlin (Germany):
€431 per day (exclusive of VAT)
Zurich and Geneva (Switzerland):
£431 per day (exclusive of VAT)

Attention:

Also included in the price:
Extensive course material

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