Highly recommended...

This course not only teaches tactics of analysis but also intuitions behind them.

I would suggest to go over labs carefully because they have been very well designed.

full of knowledge I can't explain in my words how much the course is fantastic. I love the content and I learned a lot in this course. The staff is very cooperative in discussion forums.

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.

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.

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.

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.

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

I enjoyed this course! Not being formally trained in Data Science, I believe it provided me with a solid foundation to grow. I recommend it to anyone wanting to start in data science.

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.

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.

Teaches data wrangling and statistical analysis using Pandas and NumPy. It covers essential data analysis techniques but lacks more advanced exploratory data analysis (EDA) concepts.

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.

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.

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.

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.

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.

I found this course helpful. It is well-organized and easy to follow. The exercises are quite helpful. I would recommend it to anyone looking to learn the basics of data analysis.

Good. Please improve the hands on lab part. Keep it simple, sort and easy. Python has a vast number of libs. Let the learner practice what you designed to do for this course Only.

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.

The difficulty level, granularity, and workload of the project are just right. I think it's great that peer reviews are conducted by AI. I wish this could be done in all courses.

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.

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.

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

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.

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.