Introduction to python & Data Science Online Training:
Ø This training
contains a set of basic to intermediate Python lessons and hands on for writing
programs and development.
Ø This course will
introduce the learner to the basics of the python programming environment,
including how to download and install python, expected fundamental python
programming techniques, and how to find help with python programming questions.
Ø The course will
also introduce data manipulation and cleaning techniques using the popular
python pandas data science library and introduce the abstraction of the Data Frame
as the central data structure for data analysis.
Ø The course will
end with a statistics primer, showing how various statistical measures can be
applied to pandas Data Frames.
Ø By the end of the
course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential
statistical analysis.
Ø The course will end with a statistics primer, showing how various statistical measures can be applied to pandas Data Frames.
Ø By the end of the course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.
Ø By completing this training, the audience can create academic and commercial projects using Python.
Ø what is data science? It’s a surprisingly hard definition to nail down, especially given how ubiquitous the term has become
Ø . Vocal critics have variously dismissed the term as a superfluous label (after all, what science doesn’t involve data?) or a simple buzzword that only exists to salt résumés and catch the eye of overzealous tech recruiters.
Ø In my mind, these critiques miss something important. Data science, despite its hypeladen veneer, is perhaps the best label we have for the cross-disciplinary set of skills that are becoming increasingly important in many applications across industry and academia.
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