Develop essential data science & ai skills with expert instruction and practical examples.
The course title is "Data analysis and visualization using Python" and it is using the pandas library. It is divided into 7 chapters. Chapter 1 talk about creation of pandas objects such as: Series, DataFrame, Index.
This chapter includes basic arithmetic with pandas object. Also it describes other operations with pandas object such as: reindexing, deleting data from axis, filtering, indexing and sorting. Chapter 2 describes statistical methods applied in pandas objects and manipulation with data inside pandas object.
It describes pandas operations such as: unique values, value counting, manipulation with missing data, filtering and filling missing data. Chapter 3 talks about reading and writing data from text file format and Microsoft Excel. Partial reading of large text files is also described with an example.
Chapter 4 describes data visualization using matplotlib library. It has example about the following graphs: line, scatter, bar and pie. Setting title, legend and labels in the graph is also describes with some practical examples.
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