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學生對 IBM 提供的 使用 Python 进行数据分析 的評價和反饋

4.7
14,231 個評分
2,109 條評論

課程概述

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

熱門審閱

SC
2020年5月5日

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
2019年4月19日

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.

篩選依據:

51 - 使用 Python 进行数据分析 的 75 個評論(共 2,103 個)

創建者 John K

2019年7月7日

Poorly put together course - especially the labs. Frequent misspellings, incorrect links and confusing instructions. The technical problems are a greater challenge than the course material.

創建者 Abhijit R

2019年9月6日

Course content is very poor. Not clearly explaining each & every thing in each slide. Disgusting

創建者 Somayeh A

2020年7月28日

The instructor does not explain the codes at all. She just rushes to finish the videos!

創建者 Titans P

2020年8月17日

worst ever

the greatest thing i have learned here is patience and searching online

創建者 Ritesh C

2020年8月4日

Nothing explained in course, nor even exercise for practice any good

創建者 Ahmed B

2020年7月14日

the explanation isn't good

創建者 Shuting Z

2020年11月22日

Not well designed at all.

創建者 Bryce M

2020年12月22日

explanations are lacking

創建者 Franco J

2019年10月17日

Really intensive module. Be prepared to learn a lot here. You'll be diving into real stuffs that wil ask you to listen carefully and understand the matter. My advise is to take note of any points that you are not comfortable with and make additional research on google/youtube to become friendly with it.

One of the top module i've complete so far on Coursera. Full of usefull, meaningfull information and knowledge.

創建者 Oritseweyinmi H A

2020年4月22日

Great course, that builds up and ties together some earlier parts of the DS certification. It helped me to understand the process behind developing a model and then later evaluating it. Solid introduction to analysing data with Python and I look forward to applying the skills I learn here in the applied capstone project!

創建者 Nora I

2019年3月12日

Really great! Tons of information complemented with exercises. To deal with the amount of material, I suggest following the labs very closely and doing a bit of research in the Python documentation avalaible online. I have to say you really hit the core of the matter in this course!

創建者 Luis H

2019年6月4日

I liked so much that I solve more short test because it helps me to remember information easily and guess it allowed me to perform better. It's the first time I get 100% three times in final tests of each week.

創建者 Cecil K

2020年2月7日

The courses from IBM on Data Analysis, Visualization, Machine Learning are great. I am in an online M.S. program, and the material from IBM is lightyears ahead of my university material.

創建者 Opetunde A

2018年7月12日

I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course

創建者 Prakash C

2019年6月6日

Great course. I had fun having a kick start in the field of data in machine learning. I understood the concepts related to how to improve the model.

Thank you

創建者 Siddhartha S

2019年6月4日

Great Course. Amazing Work By the team. Concepts explained clearly, followed by the week end quiz to revise. The Labs Do a great work in helping out

創建者 Aldy P S

2020年5月7日

helps me a lot! FYI I was new to data science and programming language but this course helps me to understand business analysis with Python!

創建者 Ted H

2019年6月6日

Covers a lot of ground but the Python Labs are great at bringing everything together.

創建者 Paulo B S

2019年6月4日

A very complete course of Data Analysis.

創建者 Mahmood H

2019年3月16日

Tough but useful.

創建者 Vincent Z

2019年3月10日

The course content is definitely interesting, but the approach is superficial. You will get a broad overview of the keyword to search for, and what is available in popular Python packages. However, the quizzes are way, way too easy. The course needs a final "open" assignment, where you have to use the tools without being guided along the way. This is the only way to truly learn.

創建者 Mahvash N

2019年3月4日

Course was great but it had number of errors and typos, that per my experience and other attendees caused some confusion.

I am sharing so it could be improved as it is a dream come true for myself to gain this valuable knowledge as conveniently as possible.

Thank you.

Mahvash Nejad

創建者 Natalia Z

2020年9月21日

A very comfortably created course - no stress at all. However all that you can get is become familiar with the data analysis tools. May be that's the point.

創建者 Ruchir

2018年12月19日

I think few more practical exercises or at least references of the same would help better understand the overall fundamentals.

創建者 Rebecca V

2019年3月5日

Material covered is useful, but there are a lot of typos and mistakes in the lecture slides and labs.