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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,235 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

LM

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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.

AA

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Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course.

I appreciate the coordinators in making it possible. Thank you.

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401 - 425 of 2,855 Reviews for Data Analysis with Python

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 M 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.

By Bill G

Sep 20, 2019

Wow!! Great course!

I learned a LOT. The material is not easy, especially for a non-math person but is one of the best courses I have taken on Coursera.

By Furkan G

Jul 28, 2020

This course is a good opportunity to test yourself in data science and moreover it provides you to advance your knowledge and skills in data analysis.

By Jorge S

May 15, 2020

Excellent module. It gave me a good overview of all components about data analysis. I applied it immediately to a case that I had in hands in my job.

By Xiaolin Z

Mar 12, 2019

This course is about regression, how to create models, how to evaluate and select a model or parameters. These are exactly what I would like to know.

By Walter M

Jan 27, 2021

I will recommend it. You should take care and you should try to understand the concepts first with the module exercises. Great base knowledge course!

By Ho Y C

May 29, 2020

Course lectures and materials are very well delivered and written. The lab sessions are interesting and difficulty level is just right for beginners.

By Anurag g

Mar 11, 2019

Amazing course to start data analysis with python. It covers most important aspects of data preprocessing in machine learning using python libraries.

By Moez B

Jan 31, 2019

Excellent course. The level of difficulty is not high, but you can still learn quite a bit from the videos and especially from the Jupyter notebooks.

By Minhaj A A

May 2, 2020

Refreshed my concepts about the statistics, regression and error calculation. Explained most of it in a very unambiguous manner. Highly recommended.