Johdatus data-analyysiin, 5 op

Central topics of the course are:

• Application areas of data analysis.
• Common data representation formats (JSON, XML) and using them computationally.
• Searching and modifying data with regular expressions.
• Manipulating data with the functional map, filter and reduce operations.
• Data visualization.

The course concentrates especially on the following popular Python tools for data analysis:

• Anaconda Python environment.
• NumPy, SciPy and Pandas libraries.
• Jupyter Python environment used in a web browser.