This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.
Este curso forma parte de Programa especializado: Ciencias de los Datos Aplicada con Python
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Habilidades que obtendrás
- 5 stars66,24 %
- 4 stars24,47 %
- 3 stars5,36 %
- 2 stars1,91 %
- 1 star2 %
Principales reseñas sobre INTRODUCTION TO DATA SCIENCE IN PYTHON
Great course, make sure you are comfortable in Python before diving in. Covers basic DataFrame work including cleaning, generating new data from existing data, and how to execute merge/join/update.
Assignments are way tougher than what is taught in the class, but they are challenging and the help in discussion forums is speechless. Without that, completion of assignments will take too much time.
It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science
This course was fast paced but the material was interesting and not to complex. I can only recommend this course to anyone interested in Data Science and who already has a basic knowledge of Python.
Acerca de Programa especializado: Ciencias de los Datos Aplicada con Python
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