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Learner Reviews & Feedback for Python Project for Data Science by IBM

4.5
stars
3,931 ratings

About the Course

This mini-course is intended to for you to demonstrate foundational Python skills for working with data. This course primarily involves completing a project in which you will assume the role of a Data Scientist or a Data Analyst and be provided with a real-world data set and a real-world inspired scenario to identify patterns and trends. You will perform specific data science and data analytics tasks such as extracting data, web scraping, visualizing data and creating a dashboard. This project will showcase your proficiency with Python and using libraries such as Pandas and Beautiful Soup within a Jupyter Notebook. Upon completion you will have an impressive project to add to your job portfolio. PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much instructional content. It is intended for you to apply prior Python knowledge....

Top reviews

LY

Feb 20, 2023

Lab works became more challenging and difficult throughout end of the course. Some tasks I've spent more than week just to find out the mistake. It is quite challenging yet fulfilling at the same time

DM

Feb 27, 2022

Had a few issues with my IBM Cloud account and adding the Jupyter notebook but the help\response was great so was resolved quickly.

Great material that can defintely be applied to work experiences.

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51 - 75 of 740 Reviews for Python Project for Data Science

By Ian M S

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Feb 22, 2021

Nice to have a practical, but the environment is not as good as coding in an IDE which I think would be closer to real work experience. The instructions were sometimes confusing, sometimes didn't explain what to do properly, sometimes included functions that we didn't learn about and sometimes left out important details that were critical to write code that didn't fail. I think the course would improve if they could better simulate an software environment we'd find in a work place and if they polished up the instructions. I wasted so much time just trying to understand the instructions, googling how to do certain things that should've been taught in the course materials and looking through the discussion forums for why my code was failing which could've been avoided with better instructions.

By Bartłomiej I

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Feb 3, 2024

After completing the Python Project for data science, I wondered if it makes sense to continue with the IBM data science course. The project seemed to be a section where someone clearly didn't bother to create an interesting task for students. It essentially involved repeating the same code multiple times with only a change in the provided parameters – in this case, stock tickers. In the end, we create a graph, but we don't truly understand how, as the function that generates it is predefined. This has been the least satisfying part of the entire course so far. I am very very disappointed

By Lenz B

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Nov 17, 2023

My compiler wouldn't work, my peer-reviewed assignment didn't provide any useful feedback, and questions 5 and 6 of the final assignment extended beyond what was actually covered in the course. Intuitively, you could just copy/paste code from the previous lab assignments. I don't feel much more confident in my ability to code after this experience. I may try to review the material to see if I can make something out of nothing.

By Lisa S

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Sep 27, 2021

This course seemed disjointed and the flow could be improved. It assumes prior knowledge or requires additonal work outside of the course to master the fundamentals being taught.

By Shannon S

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Jul 2, 2023

The project items were not updated and caused a coding nightmare. It took way too long to complete the course due to this error. The codes need to be kept up to date.

By Ritwick A

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Jan 19, 2023

Do not feel that it prepared me for a real life python person. Several issues such as parsing and others were not clearly defined before introducing

By Kai G

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Nov 9, 2023

Poorly written, and buggy test environments

By João S

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Mar 9, 2021

The test is not supported by what is learned on the module. It should be thoroughly revised. The goal of a test is not to trick a student but to check overall capabilities and even, TEACH

By Vitali B

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Feb 9, 2023

There is no lessons. In labs there is no answers or hints to questions, so if you don't know something it is not possible to complete the rest of the task.

By Hamda O

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Feb 21, 2022

All the links for the labs and IBM website don't work. Not recomended at all faced so many problems and limited time as one week only.

By Egor G

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Oct 22, 2022

Stuff doesnt fix bugs in this course, even though they admit them for years. Fixing them takes most of the time spent in this course

By Tyler R

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Sep 15, 2022

Weirdly made, doesn't have the tools taught to have it function. Pathetic attempt at a course. I wish I could get my money back

By Roudy G

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Oct 31, 2022

need improvment links doesn't work

By Victor N

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Oct 22, 2022

Very bad course

By Helena R

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Apr 19, 2022

Course was impactful, and compact. Was able to recall just one previous introduction to stocks. Challenge was the use of indexing and dataframe slicing to some extent. Appreciated the project in dealing with multiple figures oin the same g0raph. Had originally mis-read the question and interpreted it as plotting single graphs, In process, had opportunity to read on different graphing methods to perform multiple graphing. Looking for a real world opportunity to demonstrate learnt concepts.

By Danny S

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Oct 18, 2022

Against my better judgment, I'll give this course a 5-star review instead of 4. I was thinking 4 because there are some issues with the codes and tools provided to make this course fully understandable. Luckily, people can be resourceful and the support staff was pretty supportive and knowledgeable as well. I enjoyed the practice this course gives you on this material, one that I really didn't understand before, but I'm glad I took this course; it made me even more confident in my coding :)

By Douglas B (

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Jul 16, 2022

I enjoyed a lot with each practice, it is a challenge, the more you advance, you have to analyze to understand the code and be able to extract the data, as you understand the code everything becomes an automatic process and easy to understand, the final activity was another level because you concentrate all the practical knowledge in several data extraction operations and discover new ways to display the data. Translated with www.DeepL.com/Translator (free version)

By Khusan T

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Mar 23, 2021

Usually, I don't rate courses cause I don't have this kinda ability to reflex, but this course is different. It got a lot of negative rates and opinions that it's kinda too difficult. But I completed this course within one day and all the previous courses in specialization and even the latest one are enough. And course project is very interesting, giving real world scenario. Thanks for the course team!

By yeeman S

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Aug 26, 2022

It's an excellent course which establish well by guiding learner step by step and provide me a chance to do python project. Difficulty of the course is suit for Beginner, like me, without any python background. Details are explain in details, I have an opportunity to express in my own words in python and design what statement to use. It's a great improvement to do a project. Appreciate for the course!

By Alpesh G

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Jun 30, 2021

This Python Project for Data Science course helped me in understanding BeautifulSoup library and its real life used cases. Web Scrapping is also very well explained. The use of Plotly library also gave great insights in the form of charts and graph. Looking forward to explore more into this newly acquired skill set. Thank you IBM and Coursera for this great course and access to IBM Watson Studio.

By Enrico S

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Jan 15, 2023

I've enjoyed this experience and learned other things about Data Science world, like Python libraries, Python fuction, etc. Furthermore, I've played the role of a Data Scientist / Data Analyst working on a real project, demonstrate my skills in Python, built a dashboard using libraries like Pandas, Beautiful Soup and Plotly thanks to the Jupyter notebook.

Thanks to all !

Enrico

By Noel A S

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Mar 18, 2021

This course was pretty challenging, but also very fulfilling once completed. Taking it has definitely boosted my confidence in tackling the rest of this course. Since this is relatively new, the initial reviews that I read had me skeptical about the content, but it looks like whatever problems there may have been have now been ironed out - and I'm thankful for it!

By thomas g

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May 11, 2022

I found this assignment worthwhile and was a good recap of the skills taught so far in the course. I'm actually quite suprised at a bunch of the low reviews that say the material didn't prepare them. If you take notes, work in your own Jupyter Notebooks, google a bit, and read a bit of material outside of the course, this project will be a breeze!

By Михайло М

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Aug 20, 2022

Nice course, don't know why there are a lot of negative reviews, if you doing everything step by step, this course is smooth and easy, of course this course doesn't tell everything about Python, but for completing Project (which is the main purpose) given information is enough, so totally recommend, course is really interesting!

By stefano t

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Feb 22, 2024

I enjoyed a lot having this project to apply all what was learnt in the previous course. One thing though you could explain a little more in detail the code, like the make_graph function in one of the labs, I know were not supposed to program all that, but it'd be quite interesting to get to know how to code to that level.