SC
5 de mai de 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.
RP
19 de abr de 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.
por Binay N
•8 de fev de 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.
por 李政君(Li Z
•6 de nov de 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.
por Marco M
•23 de abr de 2022
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.
por Mikias H
•28 de out de 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.
por Jitesh J T
•27 de jan de 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.
por Bui N H T
•17 de ago de 2021
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.
por Shepherd M
•28 de jun de 2020
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.
por Nam D
•15 de jun de 2020
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
por Carlos J B A
•8 de jan de 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.
por DANIELA R F
•19 de ago de 2020
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.
por ARPIT K
•21 de jun de 2020
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.
por Muhammad A S
•17 de abr de 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.
por Tareq A
•9 de fev de 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
por Jaime O
•8 de abr de 2020
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!
por Khadija S
•22 de mar de 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.
por Gilberto B L
•16 de dez de 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.
por Katherine M K
•18 de fev de 2022
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.
por Sharon
•25 de jun de 2020
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
por Sergio G
•2 de mai de 2021
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.
por James P
•10 de jun de 2020
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.
por omar a
•16 de fev de 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.
por Anthony S
•6 de fev de 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.
por Yau W K
•9 de ago de 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.
por Kushagra A
•22 de abr de 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.
por Caio B S
•11 de out de 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.