Data Analysis with Python

This course has been held as an online training course since March 2020. Further Information!


In this course, you will acquire the skills required to analyze, visualize and present data using the Python modules Numpy, Matplotlib and Pandas. The theoretical basics are deepened with many practical exercises and tasks.


Target Group:
This training is aimed at programmers who already have basic knowledge of Python and now want to familiarize themselves with the modules Numpy, Matplotlib and Pandas.

Content:
  • Matplotlib
    • Data Structures
    • Ufuncs
    • Slicing
    • Dimensions and Shapes
    • Broadcasting
    • Various Mathematical Functionalities
  • Matplotlib
    • Plotting Data
    • Line Styles and Colors
    • Axes and Spines
    • Tick ​​Labels
    • Subplots
    • Contour Plots
  • Pandas
    • Series Data Type
    • From Series to DataFrames
    • Series, Dataframes and Dictionaries
    • Working with DataFrames
    • Reading and Writing csv- and dsv-Files
    • Working with Excel Data Files
    • Hierarchical Indices
    • Working with NaN
    • Plotting of Pandas-Objects


Dates:
  • From Wed, 21st Aug, 2024 until Fri, 23rd Aug, 2024 (3 days)
  • From Wed, 18th Sep, 2024 until Fri, 20th Sep, 2024 (3 days)
  • From Wed, 30th Oct, 2024 until Fri, 1st Nov, 2024 (3 days)
  • From Wed, 4th Dec, 2024 until Fri, 6th Dec, 2024 (3 days)
  • From Wed, 29th Jan, 2025 until Fri, 31st Jan, 2025 (3 days)

Duration of the course:
3 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
Hamburg, Munich, Frankfurt, Berlin (Germany):
€431 per day (exclusive of VAT)
Zurich and Geneva (Switzerland):
£431 per day (exclusive of VAT)


Attention:
The price of this course includes participation in the seminar and board and lodging in a 4-star hotel located at Lake Constance.
The price comprises:
Ausführliches Kursmaterial und das Buch "Numerisches Python: Arbeiten mit NumPy, Matplotlib und Pandas" von Bernd Klein

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