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.
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.
por Chien D•
This course can help me to know how to use pandas, and reading csv file. This also helps me to know how to create multiple, poly, and linear regression model
por peter p c b•
Very informative. I learned a lot of things. But if you are looking for an online class that you can connect to a professor, this is not the course for you.
por MEET P•
Too good if you pay attention...
this course disappointed at some points where they just showed us direct syntax and not proper information about that syntax
por Eric G•
Good overview of statistical analysis with python. I'd recommend having at least some background in statistics and maybe linear algebra before taking this.
por Sher B•
Best part of this course is that it is designed in a way that the student is able to get a clear view of topic on course completion. Well designed module.
por Deleted A•
Good course if you need to start your career in Data Science. I recommend to take all courses in the specialization. Five stars for everyone. Good Luck :)
por Yechen H•
Very well structured course to learn the whole process of Data Analysis and get hands dirty in the field. Recommend to anyone interested in Data Analysis!
por Benjamin C•
Curso muy completo, repleto de información útil con problemáticas reales y ejercicios de aplicación espectaculares. Sin dudas voy a recomendar este curso!
por Noel A P•
A very good course for anyone who wants to get started with pandas, NumPy, SciPy, sklearn.. and learn how to look at data and meaningful insights from it
por Albert O•
Amazing content. I learned a lot of concepts used in analyzing data in Python. Examples in the course made it simple and easy to practice and understand.
por AVIJIT B•
This course is good for someone who wants to start learning machine learning. It covers all the relevant topics which will help you in machine learning.
por Ezeoke C•
This course was packed with a lot of details. I mean a lot. If one doesn't take his/her time to go through everything, it would just become overwhelming
por Robert F•
Very Good Course. I really learned what Data Analysis really is ... opened my eyes! Very useful course for industry as well, I would imagine. Thank you!
por Dwight M D•
This was an excellent course that had datasets with which to work with. With practice and exploration of data wrangling, my confidence level is growing.
por kamran A•
This is one of the best courses I have done so far on Coursera. The special point is this course has the whole project hierarchy for the bottom to top.
por Wedrick A E•
This course is quite challenging compared to the past courses. It really needs you to review and understand everything before you can pass the quizzes.
por Bill G•
Wow!! Great course!
I learned a LOT. The material is not easy, especially for a non-math person but is one of the best courses I have taken on Coursera.
por Furkan G•
This course is a good opportunity to test yourself in data science and moreover it provides you to advance your knowledge and skills in data analysis.
por Jorge S•
Excellent module. It gave me a good overview of all components about data analysis. I applied it immediately to a case that I had in hands in my job.
This course is about regression, how to create models, how to evaluate and select a model or parameters. These are exactly what I would like to know.
por Walter M•
I will recommend it. You should take care and you should try to understand the concepts first with the module exercises. Great base knowledge course!
por Ho Y C•
Course lectures and materials are very well delivered and written. The lab sessions are interesting and difficulty level is just right for beginners.
por Anurag g•
Amazing course to start data analysis with python. It covers most important aspects of data preprocessing in machine learning using python libraries.
por Moez B•
Excellent course. The level of difficulty is not high, but you can still learn quite a bit from the videos and especially from the Jupyter notebooks.
por Minhaj A A•
Refreshed my concepts about the statistics, regression and error calculation. Explained most of it in a very unambiguous manner. Highly recommended.