Introduction to Data Analysis with Python (PYE)

Summary
This training introduces the basic concepts of Data Analysis using the programming language Python. The participants receive an overview and a systematic introduction to the most important software packages for Python in the Data Science environment. The basic concepts of data structures and data management are taught using the Python package Pandas. The creation of basic and advanced plotting capabilities using the plotting packages Matplotlib and Seaborn are presented. Concepts of basic statistical techniques and Data Mining are presented using the Scikit-Learn package.


Agenda

  • Overview: Python Basics
  • Overview of the Python software packages in the Data Science environment
  • Data import and export
  • Data management and data cleaning
  • Creation of basic plots (histogram, line plot, scatter plot, box plot)
  • Customization of plots and combination of plots
  • Basic analytical techniques (regression, clustering, classification)


Type
Python is a free programming language that is used for automation and application development. With the use of free and feature-rich packages Python has become a popular tool for Data Science.
Our Python trainings are taught in an interactive way to enable the participants to explore the various methods and procedures right away. Furthermore, every section will be followed by a set of excercises. In our training facilites in Hamburg, each participant has access to his individual training PC to work on.
The training is completely documented; this makes taking notes during the course obsolete and enables participants to fully focus on practicing the methods in Python.


Wordcloud
advanced plotting, box plot, classification, clustering, Data Analysis, data cleaning, Data export, Data import, data management, Data Mining, Data Science, data structures, histogram, line plot, Matplotlib, Pandas, programming language, Python, regression, scatter plot, Scikit-Learn, Seaborn, software packages, statistical techniques, Jupyter Notebook,NumPy, DataFrame, SciPy, Data Wrangling


Requirements
Participants need to be familiar with the basic concepts of programming languages (data types, variables, functions).


Duration: 2 Day(s) Price: EUR 1200 (plus VAT) per participant


Location
Hamburg: With our training facilities in Hamburg we provide a place to learn successfully in a comfortable environment. Each participant has access to a training PC there.
Online: These trainings offer high flexibility and require no traveling. Each particpant works on his own PC. We recommend the use of two monitors.
At your site: We conduct the trainings at your site for you and your colleagues.
We offer all our trainings in the languages English and German.


Please contact us!
Do you have and questions regarding the topics, the conditions or do you need a individually tailored training? Please contact us and talk directly with the involved trainers. We can surely help you!
 

Register

back to overview