ME
4.0Reviewed Jul 26, 2020
Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.
Introduction to Data Science in Python
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.
Status: Python Programming
Status: Data Science
IntermediateCourse30 hours
Featured reviews
DR
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
K
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.
JT
5.0Reviewed Apr 21, 2018
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.
NF
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.
PB
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
PK
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
RA
4.0Reviewed Nov 18, 2016
Although the tests can be a bit fiddly, this is a great course if you already have a bit of background with Python and/or data cleaning. Lecture and tutorial videos are lean and information-dense.
C
5.0Reviewed Jun 17, 2020
Um curso intenso e bastante prazeroso. Gostei de todas as etapas, os videos funcionam bem e estão construidos numa base introdutória, mas o desafio é pesquisar e pesquisar. Muito interessante mesmo!
AV
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
TG
5.0Reviewed Apr 13, 2020
Awesome course! I haven't done any course like this. Explanations were very clear and deep, which is very helpful to learn the content. Thanks a lot to the professor and the University of Michigan.
CB
5.0Reviewed Feb 6, 2023
The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.