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.
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.
교육 기관: David B•
2020년 6월 2일
Great content, clear video and concrete examples. One may wish to have more mathematical justification for some computations and functions, but it is the subject of a different course.
교육 기관: Natalia C•
2020년 1월 19일
Muy bien explicado, con las herramientas necesarias para adquirir habilidades en modelamiento por medio de regresiones lineales simples y multiples asi como la evaluación de los mismos
교육 기관: Andres M•
2020년 11월 6일
Ha sido de los mejores de la serie hasta el momento, fue retador y muy bien explicado. Finalmente aprendí en que consiste la construcción de un modelo estadístico de regresión lineal.
교육 기관: WAI S W W•
2020년 4월 11일
The course helped refresh some of math and statistics learnt from university and provided a good overview of using python codes and functions to analyze complex data science projects.
교육 기관: Khanh N•
2020년 7월 19일
Lessons of the course are easily understanding with great explanations. Exercises are practical and easily applied with a free online website. I am greatly satisfied with the course.
교육 기관: Binay N•
2020년 2월 8일
This course introduces the different pandas libraries that are mostly used in the data analysis using python. The student will learn about data wrangling, exploration, modeling, etc.
교육 기관: 李政君(Li Z•
2019년 11월 6일
Overall great lesson, learned a lot from it! But some code of Lab Nothbook might not give desired output and need modification, and material about Watson Studio might need upgraded.
교육 기관: Marco M•
2022년 4월 23일
I have not a mathematical background and some topics in this course have been taken for granted, thus I had to look for some material online on my own in order to expand my skills.
교육 기관: Mikias H•
2019년 10월 28일
This course has given me skills to clean data, visualize data and evaluate models using different Python libraries. Great course and recommend it to anyone interested in analytics.
교육 기관: Jitesh J T•
2020년 1월 27일
Superb explanation of the topics required for data analysis with a thorough hands on training of Python programming makes this course one of the best courses I have done till now.
교육 기관: Bui N H T•
2021년 8월 17일
I hate the peer review system. I uploaded a link into my final project as demand and they did not give me 3 points because they did not give a damn about reviewing others' works.
교육 기관: Shepherd M•
2020년 6월 28일
The course was very insightful, coming from knowing almost nothing about data analysis of python, it was easy to understand while not feeling while following the steps provided.
교육 기관: Nam D•
2020년 6월 15일
It is very interesting course. Before taking this course, I feel Python is complicated programming language.Now, I feel interesting about advancing technical skills with coursera
교육 기관: Carlos J B A•
2019년 1월 8일
A rewarding experience because I have been able to learn very valuable information. It is an excellent course. It has helped me in the personal and professional field. Thank you.
교육 기관: DANIELA R F•
2020년 8월 19일
Este curso es un gran acercamiento inicial al tema de Ciencia de datos, es muy intuitivo para las personas que no tienen conocimientos de Phyton, estadística o ciencia de datos.
교육 기관: ARPIT K•
2020년 6월 21일
I have learnt new things in python, like Linear regression and Ridge regression. Through different projects I gain an insight of how I can manipulate data and predict variables.
교육 기관: Muhammad A S•
2020년 4월 17일
A course that goes direct to the point saving you loads of time of researching and learning things alternatively. In simple words, this course was CLEAR and DIRECT to the point.
교육 기관: Tareq A•
2019년 2월 9일
Really this course shows the full path to master the Data Analysis with Python. This path is short, helpful, and rich information their. thank you at all and thank you Coursera
교육 기관: Jaime O•
2020년 4월 8일
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!
교육 기관: Khadija S•
2019년 3월 22일
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.
교육 기관: Gilberto B L•
2018년 12월 16일
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.
교육 기관: Katherine M K•
2022년 2월 18일
Pay attention to the syntax coding! Excel .csv data uploaded in JUPUTER NOTEBOOK, the visual process to do so needs upgrading as IBM data pak is in a new location on the web.
교육 기관: Sharon•
2020년 6월 25일
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
교육 기관: Sergio G•
2021년 5월 2일
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.
교육 기관: James P•
2020년 6월 10일
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.