Name: Introduction to Data Science in Python
Brand: University of Michigan
Availability: OnlineOnly
Rating: 4.5 (5996 reviews)

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Learner reviews & feedback for Introduction to Data Science in Python

4.527,280 reviews

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.

Featured reviews

5.0Reviewed May 3, 2018

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

5.0Reviewed Jun 17, 2018

I thought this was course was good, and was fairly challenging for an online-only course. I thought the lectures could have been a little longer to ensure proper coverage of materials and functions.

4.0Reviewed Aug 24, 2017

The course is good but the oral explanations are at times very tiresome. A more constructive approach in which the explanations are followed by step-by-step examples whould be far better.Best regards

5.0Reviewed Jul 17, 2022

An excellent course offered by the university of michigan which provides the basic knowledge required for starting career in data science and the concepts explianing by the proffesors were profound.

4.0Reviewed Aug 15, 2020

I found this course appealing because it was more practical based.it helped me alot in getting hands on experience and most of all I have learned how to solve real world problem with python libraries

5.0Reviewed Dec 29, 2019

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

5.0Reviewed Sep 24, 2017

This course is extremely challenging for me I was practicing data wrangling with R which is not a lot different in concepts but it gets very tricky especially with indexing.Thanks for the Experience!

5.0Reviewed May 9, 2020

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

4.0Reviewed Jan 3, 2019

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.

5.0Reviewed Dec 31, 2016

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

4.0Reviewed Jun 2, 2019

Christopher Brooks was exceptional but the other guy was going too fast.Overall it was a good course. The assignments weren't too tough but the assignment's language made it unnecessarily look tough.

4.0Reviewed Jul 1, 2020

Assignments are tough compared to the course lecture material. Therefore, alot of self learning is required other than the lectures. There should be more study material covered in the course videos