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.

  • 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

  • From Wed, 26th Jul, 2023 until Fri, 28th Jul, 2023 (3 days)
  • From Wed, 6th Sep, 2023 until Fri, 8th Sep, 2023 (3 days)
  • From Wed, 25th Oct, 2023 until Fri, 27th Oct, 2023 (3 days)
  • From Wed, 8th Nov, 2023 until Fri, 10th Nov, 2023 (3 days)
  • From Wed, 6th Dec, 2023 until Fri, 8th Dec, 2023 (3 days)
  • From Wed, 24th Jan, 2024 until Fri, 26th Jan, 2024 (3 days)

Duration of the course:
3 days

The fees for this Python course per day:

Toronto, Canada:
$563 per day (exclusive of HST)
Lake Constance, Hemmenhofen, Germany:
€395 per day (exclusive of VAT)
plus € 98 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)

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

© The content and the images of this website are underlying copyright as described in the Imprint.