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.
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.
By Shepherd M•
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.
By Nam D•
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
By Carlos J B A•
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.
By DANIELA R F•
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.
By ARPIT K•
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.
By Muhammad A S•
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.
By Tareq A•
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
By Jaime O•
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!
By Khadija S•
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.
By Gilberto B L•
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.
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
By James P•
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.
By omar a•
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.
By Anthony S•
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.
By Yau W K•
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.
By Kushagra A•
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.
By Caio B S•
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.
By Rishabh G•
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.
By Pratik A•
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.
By ADITYA K P•
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
By Ben M•
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
By Matteo M•
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.
By Quynh N P•
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.
By Josh V•
Good mix of Python programming and libraries, data analysis, and linear regression. Fundamental concepts that will really be helpful with data analysis and modelling.
By Cassandra d C•
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.