Hand-on skills training with Matplotlib, Plotly and Seaborn for data visualization.Learning data wrangling & analysis with python pandas: hand-on skills training with practical examples and exercises.Familiarization with Data science tools, and installation: Jupyter Notebook as an integrated development environment.Ability to analyze, visualize, and interpret their data using data mining tools such as Python Pandas, Matplotlib and Seaborn.Why Jupyter is data scientists' computational notebook of choice. Other popular Python IDEs for data analysis include Spyder, P圜harm, etc.

Jupyter is a widely-used Python IDE (Integrated Development Environment) for data analysis. This online workshop therefore aims to provide the following objectives: Python is an open-source, interpreted, high-level and general-purpose programming language.

Duisburg in collaboration with Afridat Bonn Germany is offering the online workshop.

The approach for research through data science helps to uncover new insights in research & broaden decision making process. For any successful project or research, the ability of the managers or researchers to collect, visualize, analyze and interpret data cannot be over emphasized. Data Analysis and Visualization with Python Online Workshopĭigitization of our daily activities has made data science an important multi-disciplinary field and game changer for knowledge extraction from big data in the 21st century.

Python tools for data analysis