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Introduction to Data Science in Python(으)로 돌아가기

Introduction to Data Science in Python, 미시건 대학교

4.5
10,351개의 평가
2,452개의 리뷰

About this Course

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. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python....

최상위 리뷰

대학: SI

Mar 16, 2018

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

대학: AU

Dec 10, 2017

Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!

필터링 기준:

2,382개의 리뷰

대학: retimadangol

May 20, 2019

everything was great except for assignment no 4. was very unclear, however blog and TA's are very helpful :)

대학: Oj Sindher

May 20, 2019

This course is highly recommended, as after completing this course you should be ready to analyze your data, clean your datasets, and manipulate it. Also, it includes hypothesis testing, which you can apply on any data-sets to get answers to many insightful questions for that data.

대학: Nazarenko Oleksandr

May 19, 2019

Thanks a lot!

대학: Sahrul

May 19, 2019

a great course for beginner

대학: Sasmit Agarwal

May 19, 2019

This course really helped me learn the basics of pandas.

대학: Ives Liao

May 19, 2019

Great course!

대학: Avi Rastogi

May 19, 2019

Awesome!

대학: Gan Cheong Weei

May 19, 2019

i find this to be a great follow up from the Python for Everyone course. The course introduces python functions which are commonly used in data analysis and the course assignments are practical and useful.

대학: Irene Liberali

May 18, 2019

Good introduction to pandas/numpy. Requires some programming knowledge. Overall I would have liked more guidance during the videos or through course materials, assignments require a lot of self learning (mostly searching through pandas documentation and stack overflow). However the discussion forums are helpful and the assignments are very well designed to guide the student through learning the basics of data science.

대학: dhruv_999

May 18, 2019

The Course is well designed for intermediates and level of assignments is also good!