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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,611 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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401 - 425 of 2,912 Reviews for Data Analysis with Python

By Chien D

Oct 7, 2019

This course can help me to know how to use pandas, and reading csv file. This also helps me to know how to create multiple, poly, and linear regression model

By Olisa U

Oct 13, 2024

I really enjoyed this course especially the short quizzes at the end of each Module. They helped to further inculcate or reinforce the knowledge experience.

By Youness B

Jul 12, 2024

It is a very good course. I have learned a lot of new things and improved what I already knew. I want to thank everyone for this great opportunity to learn.

By Agung P

Sep 16, 2022

I found it extremely simple to understand the instructions. I enjoy completing the assignments and tests that are assigned. This training is great, I think.

By Peter P C B

Mar 31, 2021

Very informative. I learned a lot of things. But if you are looking for an online class that you can connect to a professor, this is not the course for you.

By Meet P

Sep 1, 2019

Too good if you pay attention...

this course disappointed at some points where they just showed us direct syntax and not proper information about that syntax

By Eric G

Nov 6, 2019

Good overview of statistical analysis with python. I'd recommend having at least some background in statistics and maybe linear algebra before taking this.

By Eliana B

Apr 1, 2023

El curso es excelente. Muy bien organizado, con explicaciones claras . Las notebook complementan muy bien el aprendizaje y la practica de los contenidos.

By Will M

Jan 20, 2022

I enjoyed the course and learned a lot. It wasn't too difficult but still challenging and engaging. The tutorials and videos are very clear and well made.

By Sher B

Apr 30, 2020

Best part of this course is that it is designed in a way that the student is able to get a clear view of topic on course completion. Well designed module.

By Deleted A

Mar 14, 2020

Good course if you need to start your career in Data Science. I recommend to take all courses in the specialization. Five stars for everyone. Good Luck :)

By Yechen H

Sep 8, 2019

Very well structured course to learn the whole process of Data Analysis and get hands dirty in the field. Recommend to anyone interested in Data Analysis!

By Benjamin C

May 22, 2019

Curso muy completo, repleto de información útil con problemáticas reales y ejercicios de aplicación espectaculares. Sin dudas voy a recomendar este curso!

By Vandy G 魏

Jun 6, 2022

For me, it is really helpful to understand the basic of analysis in Python and it is so interesting to do some project, so I can understand how to use it

By Noel A P

Jun 6, 2020

A very good course for anyone who wants to get started with pandas, NumPy, SciPy, sklearn.. and learn how to look at data and meaningful insights from it

By Albert O

May 19, 2020

Amazing content. I learned a lot of concepts used in analyzing data in Python. Examples in the course made it simple and easy to practice and understand.

By AVIJIT B

Apr 21, 2020

This course is good for someone who wants to start learning machine learning. It covers all the relevant topics which will help you in machine learning.

By khemisse r

Feb 24, 2023

I really appreciate this course, because I've learned a lot of concepts concerning data analysis, how to fit the data using different algorithms of ML .

By Ezeoke G

May 12, 2020

This course was packed with a lot of details. I mean a lot. If one doesn't take his/her time to go through everything, it would just become overwhelming

By Robert F

Mar 8, 2020

Very Good Course. I really learned what Data Analysis really is ... opened my eyes! Very useful course for industry as well, I would imagine. Thank you!

By Dwight D

Jan 26, 2020

This was an excellent course that had datasets with which to work with. With practice and exploration of data wrangling, my confidence level is growing.

By Shivam T

Apr 5, 2022

Content of the course was very good and informative. Assignments and labs were very helpful. A good course for a begginer in the field of data science.

By Michael M

Oct 2, 2021

Nice course for some background in data terminology, and to outline some of the tasks that data analystrs perform. Good for someone outside the field.

By kamran A

Aug 20, 2020

This is one of the best courses I have done so far on Coursera. The special point is this course has the whole project hierarchy for the bottom to top.

By Arvin E

May 14, 2020

This course is quite challenging compared to the past courses. It really needs you to review and understand everything before you can pass the quizzes.