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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,616 ratings

About the Course

Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating data pipelines You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them. In addition to video lectures you will learn and practice using hands-on labs and projects. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. You will also work with scipy and scikit-learn, to build machine learning models and make predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge....

Top reviews

RP

Apr 19, 2019

perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.

SC

May 5, 2020

I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.

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351 - 375 of 2,912 Reviews for Data Analysis with Python

By Gilberto B L

Dec 16, 2018

This was a very interesting course, all the topics are very well explained, I learned more about how to validate data or how to create models to classify data, thank very much.

By Katherine M K

Feb 18, 2022

Pay attention to the syntax coding! Excel .csv data uploaded in JUPUTER NOTEBOOK, the visual process to do so needs upgrading as IBM data pak is in a new location on the web.

By Sharon

Jun 25, 2020

This is far by the best course delivered with ease of understanding for anyone.I loved the short videos to keep things interesting and the various examples.I LOVE THIS COURSEE

By Christian C

Aug 19, 2023

It is a very well made course. The labs help tremendously in reviewing and applying what has been explained in the videos (which are sometimes a bit too fast for me). Thanks!

By Sergio G

May 2, 2021

Really useful in terms of the practical application of regression models.

It simplifies traditional approaches with easy to run staff direct to b be applied to solve problems.

By James P

Jun 10, 2020

Very informative and challenging course. I particularly enjoyed the mix of video content and questions and the labs allow you to practice the content in a guided environment.

By omar a

Feb 16, 2020

this course was a useful course for how analysis data with python. I think it's a very good choice to learn how to analyze data with python.

thank you so much for this course.

By Anthony S

Feb 6, 2020

This course was pretty heavy going but I really liked the fact that there was constant testing through the whole process. So, heavy going but well paced. Thank you very much.

By Yau W K

Aug 9, 2019

Very comprehensive learning process of how to know, manage and wrangle your data which sometimes is the most important and time consuming portion of any data science project.

By Hung W K

Sep 6, 2024

The course suitable for beginner as it is easy to follow it. The programming assignment is fun and enjoyable. It is good to see and do the pipeline part, which is enjoyable.

By Yongwei S

May 14, 2023

I enjoy the explanation about statistics so much. It connects the dots in my brain about machine learning and why we must use those fancy statistic terms i.e. R Sqaure, MSE.

By Kushagra A

Apr 22, 2019

I am highly impressed with this course !!

This course is very informative. Regular assignments helped me a lot to learn and to complete my course on time before the deadline.

By Caio B S

Oct 11, 2019

This one is actually dense in content and, unlike the previous courses, doesn't force you to use IBM's tools. It could really use some grammar and layout checking, though.

By Julissa S T

Mar 21, 2023

Tough but really makes the info stick. Is a lot of information at once, but not too much either and enough to get a good grip on fundamentals for data analysis in Python.

By Rishabh G

May 25, 2020

The course is a great start for applied machine learning or Data science. Yet you should be familiar with Ml-algorithms and a python 3.o, consider these as prerequisites.

By Pratik A

Nov 21, 2019

Amazing course - delivers great content with simple and easy-to-use instructions. You can easily learn a lot regardless of already knowing some of the content beforehand.

By Minh T T

Mar 31, 2021

It is a great fulfillment for me to complete the course. I did learn too many things in analysis using Python. Thank you, Professor. Thank you, IBM. Thank you, Coursera.

By ADITYA K P

Aug 17, 2020

This was a great course to learn the model building and testing models, it took us from zero level to proficient level in getting insights of models building and testing

By Ben M

Jul 27, 2020

Would be useful to have some of the visualisation techniques before this session, but a good run through of how to analyse data in Python, build models and validate them

By Matteo M

Apr 11, 2020

Good course, with some previous experience on basic python and pandas it takes you thru data analysis with hands-on example on real word data. Interesting and effective.

By Nhu P

Aug 5, 2020

I had so much fun during learning this course. It helps me get to know and do basic coding. Definitely recommended for anyone who want to have a brief of data analysis.

By Lance F

Jul 27, 2024

Overall I very much enjoyed the hands on labs, where I was able get that first-hand experience I so much needed. Thank you for this comprehensive and engaging course!

By Sakib T

Sep 12, 2023

Very informative and well organized. The animations and videos were very good. The voice of the instructor was clear. The contents were carefully selected. Great job!

By Josh V

May 16, 2020

Good mix of Python programming and libraries, data analysis, and linear regression. Fundamental concepts that will really be helpful with data analysis and modelling.

By Cassandra d C

Apr 22, 2020

The course was interesting and slightly challenging. My favourite course on Coursera so far! Even as a qualified chemical engineer, I learnt a few interesting things.