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Python을 사용한 데이터 분석(으)로 돌아가기

IBM 기술 네트워크의 Python을 사용한 데이터 분석 학습자 리뷰 및 피드백

4.7
별점
15,272개의 평가

강좌 소개

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....

최상위 리뷰

RP

2019년 4월 19일

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.

SC

2020년 5월 5일

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.

필터링 기준:

Python을 사용한 데이터 분석의 2,310개 리뷰 중 2151~2175

교육 기관: Nadeesha J S

2019년 4월 11일

I would like to see a final project in this course. It will encourage the learners to do more work.

교육 기관: Edward S

2020년 8월 2일

The week 4 lab had issues with pipelines and did not function well and the final exam locked up.

교육 기관: Miguel V

2020년 11월 12일

Needs more information on statistical tests. Specifically, when to use one model over another.

교육 기관: Poorna M

2020년 6월 24일

Videos in this section could be little more descriptive. It was not in the pace of a beginner.

교육 기관: Nathan P

2020년 1월 1일

It was cool to see the stuff at work but I need more hands on practice to really learn stuff.

교육 기관: Varun V

2018년 12월 18일

This looks good for experienced but not the best of course for beginners/intermediate level.

교육 기관: Connor F

2020년 3월 27일

when it got to model development it got too complicated too fast. The first half was great.

교육 기관: Badri T

2019년 5월 28일

Lots of good concepts. However, too complicated and could have been explained a bit more.

교육 기관: Jesse Z

2019년 6월 5일

For such a important topic, it seems like the videos sped through some essential topics.

교육 기관: Debra C

2019년 3월 24일

Course was worthwhile for general understanding of what can be accomplished with Python.

교육 기관: Miguel A

2020년 5월 13일

Exelent training to get familiar and intruducing to Python capabilities and programing

교육 기관: Xinyi W

2020년 1월 26일

Superfacial level of Python while being not very through on the data analysis methods.

교육 기관: Ana C

2019년 6월 11일

To short

Goes to fast in some aspects, the theory is completely missing in this course

교육 기관: Sathiya P

2019년 8월 27일

Nicely thought, but I felt concepts like Decision trees, Random forest were missing

교육 기관: Rosana R

2019년 8월 12일

The course is too long. The material should be divided and explained more detailed.

교육 기관: Amanda A

2020년 4월 16일

There were many typos in the labs which made it difficult to understand at points.

교육 기관: Juan S A G

2020년 8월 20일

very simple exercises which does not help to learn altough videos were exeptional

교육 기관: Mohsen R

2020년 6월 16일

The course does not explain the processes enough, there should be more examples.

교육 기관: Maciej L

2019년 5월 16일

Too many complicated things happening at once. It is hard to digest and follow.

교육 기관: Tomasz S

2018년 11월 19일

Few small hiccups with the training videos and quite a few in the lab-excercise

교육 기관: Craig S M

2022년 3월 21일

It ok. Some parts of the course were bare bone. I liked the hands on sections.

교육 기관: Steven B

2020년 6월 3일

Overall I felt it was not broken down very well and seemed confusing at time.

교육 기관: Pierre-Antoine M

2020년 2월 19일

Videos are nice but they are mistakes in the notebooks that disturbs learning

교육 기관: Toan N

2020년 3월 27일

The lab is disconnected every so often that can't complete it smoothly.

교육 기관: Jessica B

2019년 6월 14일

Good content, but lots of typos. The outsourcing is extremely evident.