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.
por Hao H•
Well arranged course that covers the essentials statistics with Python. But be aware this is an elementary course that may be a little too easy for those who have experiences in statistics.
por Juan E F A•
It was an excellent way to begin in the path of data science. I really enjoyed all the knowledge they shared. I'd lie if I say that it was a piece of cake, but it wasn´t impossible, either.
por Narasimhan, S•
This was a good course to understand some of the analysis concepts that are available.I would rate this course for anyone who wishes to have a good foundation of Data Analysis with Python.
por Dr. J N•
This course precisely and comprehensively covers important aspects of Data Analysis with Python. I strongly recommend this course for those who are serious about Data Science using python.
por carolinne r•
Excellent course, it helped me a lot to get started with Python. Still today I always consult my personal notes on this course to perform data analysis in all types of projects I work on.
por Jayesh M•
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.
por John S S D•
The course is very hands-on focused and that's great. Nevertheless, if there were some documents that summarize the week content (attibutes or codes characteristics) would be fantastic.
por Harsh V J•
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.
por David B•
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.
por NATALIA C V•
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
por Andres M•
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.
por WAI S W W•
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.
por Khanh N•
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.
por Binay N•
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•
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 Mikias H•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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