Python for Data Analysis and Visualization
Python for Data Analysis and Visualization
Embark in the journey to uncover the potential of Python for Data Analysis and Visualization, all set at the beautiful northern coast of Lake Garda.
Over the span of this course you will master Python core libraries including NumPy, Matplotlib, Pandas and Seaborn. Next to these, you will learn good coding practice, e.g. using version control with Git & Github and working in virtual environments.
The course is highly interactive and features a balanced mix of input lectures and hand-on exercises. You will further learn how to exploit Al-based tools to autonomously troubleshoot and advance your coding skills. The course culminates in starting your own data analysis and visualization project, which is complemented by peer-to-peer feedback.
Besides learning the technical skills, you will network with Python enthusiasts from all over Europe and enjoy the beautiful landscapes of Lake Garda.
● Establish good coding practice, e.g. with version control and using virtual environments
● Master the well established Python libraries NumPy, Matplotlib, Pandas and Seaborn
● Acquire a feeling of effectiveness in solving problems and advancing your skills on your own
● Apply the newly acquired skills in data analysis and visualization to your own projects
● understand of the real-world uses of Python in data analysis and visualization
● maintain version control with Git&Github and use virtual environments
● analyze extensive data sets with Numpy and Pandas
● visualize your data using Matplotlib and Seaborn
● exploit AI-based tools and traditional internet research to advance your programming skills
