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.
About this Course
Skills you will gain
- 5 stars66.27%
- 4 stars24.48%
- 3 stars5.35%
- 2 stars1.89%
- 1 star1.99%
TOP REVIEWS FROM INTRODUCTION TO DATA SCIENCE IN PYTHON
super hard course I enjoyed it but the thing that I didn't like specially when this is supposed to be the learning phase the assignments were hard and it sometimes pushes you to look for the solution
To be an introductory course I struggled a lot, is a very practical course, and the assignements encourage you to learn more. This is the best technical course I have taken. Lo recomiendo ampliamente
Excellent content and up-to-date material. Dont get 5th star because despite very well crafted Exams, there are evidently some problems with explanations and the "grader" ends up being too restrict.
The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
About the Applied Data Science with Python Specialization
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