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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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201 - 225 of 2,711 Reviews for Data Analysis with Python

By Habib M

Oct 4, 2022

I have just completed the IBM Data Analyst course "Data Analysis with Python". The course has a lot of practical knowledge with real-life examples and datasets for analysis. Recommended for students of Data Analysis! #pythonOpens in a new tab #dataOpens in a new tab #dataanalysisOpens in a new tab #datasetsOpens in a new tab #IBMOpens in a new tab #CourseraOpens in a new tab #HabibManjothaOpens in a new tab

By V C

Jan 15, 2020

This course is actually harder than expected due to the python programming however I felt I truly benefited from it. I have learned and used Python before, but the python code in this course sets a new high bar for me. I'm going to go back and study all the labs in this course again!

By Aman T

Apr 19, 2020

This was a good course. It had lot of content you will find data analysis with pandas library along with analysis there is regression machine learning model also and model evaluation section. Overall it was a great experience. Content was nice and I recommend to everyone to enroll.

By Ketan K

Dec 28, 2018

Really a step up in terms of difficulty compared to "Data Science with Python". Since the final week's content is judged on quiz and not a stand alone assignment, one must revise this course from time to time for the libraries referenced and model analysis approach. Great resource!

By Anthony G

Jan 25, 2021

This course was presented clearly and explained statistical concepts in a way that made them relevant and practical. The assignments were challenging, requiring review of notes and Python techniques made during the lectures, thereby reinforcing the learning outcomes in a good way.

By Gajula J

Jul 16, 2018

This course is very good start for students who are planning to go into machine learning specifically.Students who have no Idea about regression and math find bit hard but little more effort from student side is needed. At the end you will have a zeroth tool for machine learning.

By Babak K Z

Nov 30, 2020

very good and goal oriented cours, no loss of time , covers rapidly subjects that really increase students knowledge on python tools for data analysis. very interesting and useful cover on regression for tolls as well as explaining the statistical concept in a very simple way.

By Deleted A

Oct 26, 2020

THE RATING IF POSSIBLE TO GIVE 100 THEN I CAN GIVE 100 FOR SURE , BUT OUT OF 5 IT DESERVES 5 WITHOUT ANY DOUBT I CAN SAY THIS COURSE CONTAINS THE ALL BASICS + ENSURES A GOOD UNDERSTANDING OF ALL THE THINGS NEEDED TO DEVELOP THE DATA ANAYSIS SKILLS ALONG WITH PRACTCAL APPROACH .

By federico b c

May 12, 2020

It's a great course. I enjoyed a lot. Easy to follow.

However I miss go deeper with the meaning of the numbers (for example the R2 each time we calculate it) and to get deeper insights of the data after having on the table many interesting number for the analysis.

Thanks for all.

By Lee D

Jun 29, 2021

Everything is terrific! This course has in-depth lecturing while providing a great resource for practicing.

The only thing that bothered me is that there was a misleading ipynb url at the final project section. There were two different urls directing to two different projects.

By Veon G

Jun 5, 2020

I have a specialist diploma with business analytic. However that was using software to do the visualization and analysis.

I guess it helps on my journey. I can relate the machine learning concept to this course.

This course is fantastic. Teaching you step by step progressively.

By Matt M

Jun 29, 2020

Great overall experience. Although it would be great actually understanding the Python language in ways where you're actually learning about what each code means and does, I think this is more of an introductory course in terms of just understanding what Data Science is.

By Dharmeshkumar P

Apr 14, 2020

Good course giving exposure across all expect of data mining and data analysis with regression modeling and evaluation model through visualization and correlation, Rscore and much more. Very well organised modules with jupyter notebooks for each assignment and practice.

By Jason D

Sep 12, 2019

Really good course in Data Analysis for beginners. The videos and labs are very well planned and structured. Personally, I can say for sure that I have gained more knowledge about Data Analysis and am even more motivated towards Data Science after completing this course.

By Sushant S

Apr 7, 2019

This course give a great introduction to the Python Packages and methodology to visualize the data and also evaluate the Model. This is good introduction course which gives concise understanding of concepts and all important python libraries required to get the job done.

By Holt M

Jul 19, 2020

This is how all the courses should be set up. Weeks are set up in an organized fashion of Videos, Lab, Quiz. No major things missing from instructions that waste your time, like the other IBM SQL course. Shout out to Joseph Santarcangelo for planning a beautiful course.

By Sergey F

Aug 7, 2020

Very good introduction course into data analysis. Would be nice to elaborate more on Ridge and pipelines. Explanation of the math behind the library functions or references for further study would also help understand what method is more suitable for certain tasks.

By Javed A

Oct 20, 2019

What an amazing way to learn such a special set of skills from best platform of Coursera.

The IBM Skills Network Lab is really fantastic.

Also on IBM studio is speechless.

I will definitely recommend this must have course to all passionate learners around the globe.

By Charles S

Sep 4, 2023

I just finished the IBM Data Science Professional Certificate. Out of the 10 classes, I enjoyed this one the most. It was a little hard to keep from getting confused at times, because there was so much information, but I liked how it was all explained so well.

By KULDEEP P

Jul 13, 2018

Help to understand the process of doing projects on Data Science , As i tried to start with one Data set but i was not sure what to do, how to do. with the help of this course, I came to know the step by step process of Data Wrangling and making models. Thanks

By Theodore G

Feb 18, 2021

Covered a lot of great material. Sometimes I went to other sources on the internet to get some more detail on parts that I did not understand. I all turned out well. The quizzes and labs are important. I must have taken a lot of work to put all this together.

By Sagar S

Sep 17, 2018

This is very condense course. However the quizzes after every chapter are very timely, and one at the end of the week for entire week, helped a lot. The labs seems very real world, downloaded some notebook am sure will be using them in real world later on.

By Lu L

Jun 28, 2020

Well-structured. Offered clear instructions in the subject of model development, model selection and model evaluation. This lays the foundation to help me to learn further on these topics. The exercise for each unit is a good summary, helpful for review.

By Juan F B

Apr 11, 2020

Very good coverage of basic skills needed for Data Analysis. Not very challenging if you have previous experience programming and have a general understanding of basic statistics. Would've liked a more "interactive" course regarding the codding assignments.