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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
17,670 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

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.

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.

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126 - 150 of 2,711 Reviews for Data Analysis with Python

By Muzamal A

Apr 22, 2020

I'll be honest this course for a beginner is difficult and incomprehensible as thereare many new things introduced which are not explained properly

By Sharvinee

Nov 23, 2020

yOU DEFINITELY NEED SOME BASIC PROGRAMMING BACKGROUND. i FOUND IT TOUGH

By Benjamin J

Dec 1, 2018

many mistakes throughout

By KD D

May 22, 2023

Several topics are not covered in sufficient detail. If this is a beginner's course with no prior statistical or Python knowledge required, why does is feel like the course material assumes that I have prerequisite knowledge?

The videos are a mess. The narration timing is off in several places. Some bits of information are only shown on the screen for a second before the slide changes. The audio cuts in one video. Some of the visualizations are too blurry to make out.

Eventually, I resigned myself to simply getting through this course as best I could and then supplementing certain areas by looking elsewhere for better instruction.

Hopefully IBM/Coursera will make necessary changes for future learners, although previous forum posts as much as 1 year old indicate otherwise. I posted about all of these issues in the forums myself. In response, an admin simply apologized and parroted my concerns back to me.

By Egor G

Oct 22, 2022

poorly made labs, they put their IBM stuff that doesnt even work. Each course in this certification is pure pain beacuse almost nothing works as intended. Most labs contain errors (some of them are rather critical) which are not fixed for years. I found my problems in discussion forums that were dated like 2 years ago. And none of them were fixed since that time, even though the stuff confirmed that there are serious mistakes and problems. They just dont care. Most of the time you will spend half of your time not studying, but trying to execute IBM stuff that never works, or by searching and fixing course bugs and mistakes. You may run into situatons (VERY OFTEN) when your environment doesnt even start or execute, and you will have to pass a day of your life or more by waiting help for the stuff, that doesnt even help sometimes.

By Paola d C

Sep 5, 2021

The submission of the final assignment of this course is very poorly designed and explained, it wasted over 1 hour of my time. Furthermore, completion of the course CANNOT be linked to reviewing other people coursework and course completion delayed for over 1 month, because you allow to choose this course as part of my company required training that must be completed by a certain deadline. I completed the course today, but it will not record as completed until AFTER the deadline.

This is unacceptable in a professional world.

By Nizami I

Oct 6, 2019

The course structure and videos are nice, but THERE ARE SO MANY ERRORS in the videos. I spent so much time to google and fix these errors. It is really terrible and I dont understand how people gave the high grade. I stopped watching videos after Week 3, because I fed up correcting their errors. Although people have mentioned it long time ago, but nothing has changed. Really shame on Coursera and IBM that have such quality!!!

By Eleanor

Feb 1, 2022

These IBM courses are designed to force you to sign up for their products, provide personal information and credit card number, and then their products don't work. Course material is mediocre at best; if you truly want to learn the subject look elsewhere.

By DJ B

May 7, 2022

All labs up until the final project did not work and support was worse non-existent -- when brought up by me and other students in the course, we were dismissed.

By Dennis B

Oct 24, 2021

Honestly, the labs were impossible to load and everyone is asking for help on the forums whilst staff copy/pastes the same useless answers.

By Swati J

May 30, 2022

NOthing related to Data Analysis. The course is all about statistic , related to data science.

By Alyssa K C F

Jul 1, 2022

Absolutely poorly designed and taught course. Would give 0 stars if I could!

By Luis C G M

Nov 8, 2022

Horrible, this is for data science not for a data analyst.

By Jaysee J P

Jun 10, 2022

Information overload, too complicated

By Marta O G

May 12, 2020

Too hard

By Loganathan E

Mar 18, 2021

Big data analytics is becoming new norm of organization eco-system to derive data driven decisions rather than opinion based decisions

This course on data analysis with Python started with basics and covered topics on preparing data for analysis, performing

simple statistical analysis,data visualization, predicting trends and patterns to have meaningful conclusions.

Course structure is nicely organized with step by step lectures with quizzes at interim levels aided by practice session.

Course has an interactive window which is similar to Jupyter NoteBook so that learner can practice their learning within the online course itself.

Moving forward to applicate these leanings in automating domain specific tasks in my portfolio.

Thanks to ASHOK LEYLAND for providing opportunity to learn Digital online courses.

By S M G A N

Jul 29, 2023

The "Data Analysis with Python" course, presented by IBM on the Coursera platform, proved to be an exceptional and enriching educational journey. This meticulously crafted program offered a comprehensive initiation into the art of data analysis with Python, delving into pivotal libraries such as NumPy, Pandas, and Matplotlib. The course thoughtfully integrated hands-on assignments and real-world projects, captivating learners with their relevance and engagement. Seasoned instructors with profound expertise and unwavering support added a layer of excellence to the learning experience. Undoubtedly, this course is a perfect entry point for aspiring data analysts keen on immersing themselves in the world of Python-based data analysis. Wholeheartedly recommended!

By John P J M

May 14, 2023

I would like to express my deep gratitude for the opportunity to participate in the Data Science course. The content was extremely informative and incredibly useful. I have gained valuable insights and practical skills that I am confident will be beneficial in my career. The tutors were very knowledgeable and provided comprehensive feedback and support throughout the course. The inclusion of real-world case studies and hands-on projects enriched the learning experience. I appreciate the well-structured and professionally organized course that allowed me to learn at my own pace. I look forward to applying the knowledge and skills I have gained from this course in my future endeavors. Thank you once again for a remarkable learning experience.

By Kishore B

May 18, 2020

I read the book 'An Introduction to statistical analysis using R'. To reach to the concept of ridge regression it took about 3 months (as i can only spend an hours a day study hour) and page number > 200 for me to understand the statistical concepts of ridge regression, cross validation etc. And still I was tentative in R. Now, based on this video course and labs, the learning concepts and python implementation could just be done in 2 weeks time (spending 4 hrs on weekends). A lot of effort has been put in this course to make it sound simple. Thank you authors. Wish you continued motivation to design such courses.

By Kolitha W

Dec 6, 2020

Learning is a process of blending theory and practical in equal portions to provide intellectual inputs to get tangible outputs. This course is a perfect example of it, as it consists of ample hands-on lab sessions for each module, where anyone could practice what they have been taught through the videos. The videos are super explanatory, where even a beginner could learn from scratch with passion and love. I take this opportunity to thank all the instructors, resource providers and contributors, and wish you all the very best to keep your knowledge-sharing efforts with pride and joy.

By Mengting Z

Jun 5, 2019

This course gives me a brief understanding of data analysis based in the use of Python. Since I have already had a foundation of the basic knowledge of coding with other programming language, this course started with introducing several basic packages for data science followed with the use of each package. Also, in week 4 and week 5, the course provided me with the idea of generating statistical models to train our data sets. The thinking method of evaluating a model will help me a lot in my future studies in the field of machine learning and deep learning.

By Mohith K

May 6, 2020

It is an excellent course for beginners in Data Analytics. It teaches you all basic concepts required for data analysis which includes data pre-processing, data wrangling, data formatting, data normalization, data binning, Exploratory data analysis and data modelling. It also teaches you descriptive statistics including, Correlation, ANOVA etc., It also helps you with basic data visualization, Linear regression, prediction, decision making, Model evaluation and refinement using Ridge Regression and Grid Search. I find it very useful for beginners.

By Xiaowei Z

May 1, 2020

To pass this course is really not easy as it doesn't just teach us how to code to fulfill the data analysis but it delivers a lot of relevant knowledge of statistics as well, including linear regression, polynomial regression, ridge regression, MSE, R2, ANOVA, etc. Coding is not difficult but understanding those methods of analysis is hard. so if you have little basis of statistics, you have to work harder. But I feel more confident after the course because I have gained one more skills. Keep on going and embrace the future.

By Deleted A

Jul 21, 2020

The course nicely gives you a glimpse of the endless possibilities in the area of Analytics. It showcases how data can be easiely and speedily analyzed using Python if you are clear even with the basics of Python programming. It provides a prefect platform to gain skill sets needed to be a great Analyst.

The course is wonderfully desined, the material within seems self-explanatory and you won't have to struggle to grasp the concepts taught. Labs are awesome and so is the team who made the course what it is. Really loved it!

By Maitha S K ( O - I

Feb 18, 2020

Honestly it is one of the best courses I've attended in Data Science. All the ambiguous concepts that I read in the internet and couldn't understand were clear in this course and I didn't have to struggle to get them. The way the course is structured, the visual materials, labs, quizzes and assignments ensure that you leave the the course with good theoretical and technical understanding. Thanks for making it easy to learn Data Science and python! I would definitely recommend this course if you want to have a good start.