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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,436 ratings

About the Course

Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You鈥檒l learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, you鈥檒l build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you鈥檒l gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions. By completing this course, you鈥檒l not only develop strong data analysis skills but also earn a 糖心vlog官网观看 certificate and an IBM digital badge to showcase your achievement....

Top reviews

LM

Mar 10, 2020

Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

BD

Nov 23, 2019

Really interesting course, if one wants learn programming language. Well designed and structured. Only suggestion is, if the small videos contains example that be really great to understand it well

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2576 - 2600 of 3,077 Reviews for Data Analysis with Python

By mohsin a

Oct 18, 2020

Hands on Labs are awesome .They helped to consolidate my concepts .

By Rohit S P

Apr 25, 2019

Needed a more brief explanation on ridge regression and grid search

By Garimella B S

Apr 29, 2025

Good introductory course on Data Analysis. Hands-on labs are good.

By Ninad M K

Jul 14, 2020

It is a great course and it teaches me data analysis with python.

By Ginger M

Mar 19, 2020

I think that for weeks 4 and 5 the course needs more explanation

By Wen P

Dec 25, 2019

Easy understanding

Good sample and comprehensive

Good for beginner

By Jeff J

Aug 28, 2019

Nicely explained. But many minor mistakes here and there though

By Bashar M

Feb 5, 2019

thank you very much ,this course was very useful and interesting

By Luis G F C

Feb 22, 2025

Muy bueno, aunque podr铆a ser m谩s detallado en las explicaciones

By Cherif H W A

Dec 14, 2019

as usual the labs are great but the videos could be much better

By Nicholas J F

May 4, 2019

Good content. Still spelling errors and mistakes in some place.

By Mudita N

Feb 21, 2019

Last few weeks were a bit confusing but overall a good course .

By Ismayil J

Nov 5, 2018

Good overview of classic Statistic methods performed in Python.

By laye c

Jun 24, 2025

tr猫s content de faire ce cours et obtenir une autre comp茅tence

By Shine

Jun 18, 2019

There are something wrong in the final assignment submit page.

By Tatiana K

Jan 25, 2019

Great course, but the number of errors in videos is tremendous

By Yongda F

Jun 17, 2020

This is a good course for beginners, but not enough in-depth.

By Eliezer A

Jul 30, 2019

there are some errors in the code lines through the lecutres.

By WANG T

Jan 25, 2019

Typos in the videos and notebooks should have been corrected.

By Ashish R

Feb 12, 2025

I'm expecting more modules can be include like SQL and EXCEL

By Raja U A

Mar 5, 2021

Course Contents were excellent but not well arranged/planned

By alvaro a

Oct 1, 2020

Buen curso, los talleres permiten la aplicaci贸n de conceptos

By Welamaza A M

Jun 18, 2022

Well taught and is challenging enough to keep one motivated

By Abhay S

May 13, 2020

Quiz sections are very simple in comparison to the lessons.