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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
14,229 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....

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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.

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.

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251 - 使用 Python 进行数据分析 的 275 個評論(共 2,102 個)

創建者 Jaime O

2020年4月8日

Excellent training.

This course will greatly improve my ability to become well versed in Machine Learning AI using Python!

Many thanks to the IBM staff and to Dr. Santarcangelo!

創建者 Khadija S

2019年3月22日

Highly recommended course. All i was about data analysis with using Python as a tool. In this course you can learn basic econometric, python, and of course how to analyse data.

創建者 Gilberto B L

2018年12月16日

This was a very interesting course, all the topics are very well explained, I learned more about how to validate data or how to create models to classify data, thank very much.

創建者 Sharon

2020年6月25日

This is far by the best course delivered with ease of understanding for anyone.I loved the short videos to keep things interesting and the various examples.I LOVE THIS COURSEE

創建者 Sergio G

2021年5月2日

Really useful in terms of the practical application of regression models.

It simplifies traditional approaches with easy to run staff direct to b be applied to solve problems.

創建者 James P

2020年6月10日

Very informative and challenging course. I particularly enjoyed the mix of video content and questions and the labs allow you to practice the content in a guided environment.

創建者 omar a

2020年2月16日

this course was a useful course for how analysis data with python. I think it's a very good choice to learn how to analyze data with python.

thank you so much for this course.

創建者 Anthony S

2020年2月6日

This course was pretty heavy going but I really liked the fact that there was constant testing through the whole process. So, heavy going but well paced. Thank you very much.

創建者 Yau W K

2019年8月9日

Very comprehensive learning process of how to know, manage and wrangle your data which sometimes is the most important and time consuming portion of any data science project.

創建者 Kushagra A

2019年4月22日

I am highly impressed with this course !!

This course is very informative. Regular assignments helped me a lot to learn and to complete my course on time before the deadline.

創建者 Caio B S

2019年10月11日

This one is actually dense in content and, unlike the previous courses, doesn't force you to use IBM's tools. It could really use some grammar and layout checking, though.

創建者 Rishabh G

2020年5月25日

The course is a great start for applied machine learning or Data science. Yet you should be familiar with Ml-algorithms and a python 3.o, consider these as prerequisites.

創建者 Pratik A

2019年11月21日

Amazing course - delivers great content with simple and easy-to-use instructions. You can easily learn a lot regardless of already knowing some of the content beforehand.

創建者 Minh T T

2021年3月31日

It is a great fulfillment for me to complete the course. I did learn too many things in analysis using Python. Thank you, Professor. Thank you, IBM. Thank you, Coursera.

創建者 ADITYA K P

2020年8月17日

This was a great course to learn the model building and testing models, it took us from zero level to proficient level in getting insights of models building and testing

創建者 Ben M

2020年7月27日

Would be useful to have some of the visualisation techniques before this session, but a good run through of how to analyse data in Python, build models and validate them

創建者 Matteo M

2020年4月11日

Good course, with some previous experience on basic python and pandas it takes you thru data analysis with hands-on example on real word data. Interesting and effective.

創建者 Quynh N P

2020年8月5日

I had so much fun during learning this course. It helps me get to know and do basic coding. Definitely recommended for anyone who want to have a brief of data analysis.

創建者 Josh V

2020年5月16日

Good mix of Python programming and libraries, data analysis, and linear regression. Fundamental concepts that will really be helpful with data analysis and modelling.

創建者 Cassandra d C

2020年4月22日

The course was interesting and slightly challenging. My favourite course on Coursera so far! Even as a qualified chemical engineer, I learnt a few interesting things.

創建者 Nora W

2020年3月2日

This has been by far the most difficult course I've taken. I guess that if you have some background in statistics, this will be easier for you. Quite the challenge!!!

創建者 Odejide M

2020年2月17日

This is an awesome course for anyone who wishes to start a career in data analysis using python.

The tutorial is well organized and structured with detailed materials.

創建者 Adam C

2020年1月20日

Iimportar, Domar, Explorar y Seleccionar datos y para entrenar un modelo de regresión lineal, evaluar y seleccionar hiperparametro adecuado para tener un buen modelo

創建者 Loo C

2019年12月7日

I learned a lot from this course, especially on data preparation, wrangling, analysis and understanding data modelling. Thumb up to the instructors and IBM, Thanks!.

創建者 Atikah F

2020年6月20日

Another great course to learn more deeply about Data Analysis with methods that beginners are able to understand. Keep the good work up! Thank you Coursera and IBM!