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学生对 IBM 提供的 Data Analysis with Python 的评价和反馈

4.7
19,613 个评分

课程概述

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’ll 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’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you’ll 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’ll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement....

热门审阅

BK

May 8, 2021

I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.

BM

Jul 16, 2020

Although good to learn the know-how of basic data analysis techniques, the quizzes are predictable and you don't end up coding as much as you should. A good starter course to wet your feet in DA!

筛选依据:

2526 - Data Analysis with Python 的 2550 个评论(共 3,115 个)

创建者 Nikhil

May 14, 2020

High quality, concise content, well timed videos with pop up questions that ensures focus of the participant.

创建者 Deepak P

May 17, 2019

The Content was really good but some topics are explained in very short.

But Thanks for this awesome course!

创建者 Kerem B

Feb 3, 2020

The difficulty level of this course goes up very dramatically and it took me very long time to understand.

创建者 Gabriel A

Jun 6, 2019

Best course in the specialization so far. An introduction to the statistical concepts could be beneficial.

创建者 Praveen

Jul 20, 2019

Very good introduction to data analysis. Some of the concepts mentioned here needs much more explanation.

创建者 Mr. S

May 1, 2023

Really good course, just that sometimes it seems it takes in big steps which may provoke some confusion.

创建者 FILPE R F

May 29, 2022

It was a good course. However, in my point wiew, it was necesserary exploring the Pandas and Numpy more.

创建者 Jonathan P d A

Nov 6, 2018

Great course with great classes. The exercises are not complex which makes the practical part less good.

创建者 Lucian P

Dec 13, 2021

Great content but problematic when you need to use IBM Cloud platform that doesn't accept new accounts.

创建者 Juan J F

Mar 22, 2021

An excellent introduction to the techniques to analyze data and do the validation, very clear exercises

创建者 Venna R D

Feb 2, 2024

A very good and detailed explanation. A little bit of assistance in coding should improve in the labs.

创建者 Akshay S

Jun 22, 2020

Overall coerce is good. Just the algorithm explained at last weeks need to be more simple explanation,

创建者 Rajeev P

Mar 21, 2020

It was a good course. Learnt a lot of statistics and how to implement them in python from this course.

创建者 Hung C T

May 1, 2019

Would be better if some underlying theory of advanced topics is covered, such as Ridge Regression etc.

创建者 Nicholas F

Nov 24, 2020

It would be good if there were more practice opportunities. Overall a good class for familiarization.

创建者 SHALIN S

Sep 16, 2020

week5-6 labs were tough for writing own code and for understanding. However for awareness, it was OK.

创建者 Viwan J

May 24, 2019

It is a good course but -1 star because many typos/errors/unclear tasks in the assignment submission.

创建者 Aisha P

Jul 26, 2022

I am fully satisfied with this course.this course helhed me to enhance my skill just awesome course.

创建者 Vicente C L F

Nov 18, 2019

Very good course! I just missed more deep content as optional reading in Ridge, Grids and Pipelines.

创建者 Stéphan D

Mar 6, 2022

Some technical problems with IBM watson while doing the course. Questions could be more difficult.

创建者 Ivan L

Dec 9, 2021

Final Assignment is Ok, theory esp. some of the quizes subject for improvement (to make it perfect)

创建者 Juan D M G

Jun 17, 2020

Muy buen curso y muy buenos laboratorios! SIn embargo a veces no explican la teoría tan al detalle.

创建者 Shrinidhi S

May 9, 2020

My assignments with the correct answers were only given partial marks.Pls do the need for the same.

创建者 Daniel O V

May 6, 2020

I think it should have a higher level of difficulty, not so much more difficult but a little more.

创建者 Fab T

Jan 30, 2019

Great! Still thinking in go back to review the details that maybe I missed.. But excellent course.