May 06, 2020
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.
Apr 20, 2019
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: Jayesh M•
Jan 24, 2020
I like this course more than anything. As this course give me many useful insight of model as well as this included the many things like from model fitting/training to improve the model.
교육 기관: Harsh V J•
Apr 25, 2020
It is a good course on Data Analysis for both predictive and descriptive analysis. I think there should be more practice assignments for more hands on experience on predictive analysis.
교육 기관: NATALIA C V•
Jan 19, 2020
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: WAI S W W•
Apr 11, 2020
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: Binay N•
Feb 09, 2020
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•
Nov 07, 2019
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: Mikias H•
Oct 28, 2019
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•
Jan 27, 2020
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: Carlos J B A•
Jan 09, 2019
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: Muhammad A S•
Apr 17, 2020
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•
Feb 10, 2019
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•
Apr 08, 2020
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•
Mar 22, 2019
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•
Dec 16, 2018
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: omar a•
Feb 16, 2020
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.
교육 기관: Anthony S•
Feb 06, 2020
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.
교육 기관: Yau W K•
Aug 10, 2019
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.
교육 기관: Kushagra A•
Apr 22, 2019
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.
교육 기관: Caio B S•
Oct 11, 2019
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.
교육 기관: Rishabh G•
May 26, 2020
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.
교육 기관: Pratik A•
Nov 21, 2019
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.
교육 기관: Matteo M•
Apr 11, 2020
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.
교육 기관: Josh V•
May 16, 2020
Good mix of Python programming and libraries, data analysis, and linear regression. Fundamental concepts that will really be helpful with data analysis and modelling.
교육 기관: Cassandra d C•
Apr 22, 2020
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.
교육 기관: Nora W•
Mar 02, 2020
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!!!