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Voltar para Análise de dados com Python

Comentários e feedback de alunos de Análise de dados com Python da instituição IBM Skills Network

15,304 classificações

Sobre o curso

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Melhores avaliações


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.


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.

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1851 — 1875 de 2,314 Avaliações para o Análise de dados com Python

por Jeremy G

12 de out de 2020

This course should come after the Data Visualization with Python course in the Professional Certificate program

por Lida X

10 de jan de 2020

Maybe a bit too fast for those who are not familiar with various kinds of regressions...

Other parts are great!

por Cristina A

29 de mai de 2018

Interesting course, but there are some moments when they give an interesting idea, but not the implementation.


20 de jun de 2020

Good course, but it's too basic. I learned basics of pandas, scikitlearn, seaborn and other python libraries.

por Nikhil

14 de mai de 2020

High quality, concise content, well timed videos with pop up questions that ensures focus of the participant.

por Deepak P

18 de mai de 2019

The Content was really good but some topics are explained in very short.

But Thanks for this awesome course!

por Kerem B

3 de fev de 2020

The difficulty level of this course goes up very dramatically and it took me very long time to understand.

por Jesús G A S

6 de jun de 2019

Best course in the specialization so far. An introduction to the statistical concepts could be beneficial.

por Angam P

20 de jul de 2019

Very good introduction to data analysis. Some of the concepts mentioned here needs much more explanation.


29 de mai de 2022

It was a good course. However, in my point wiew, it was necesserary exploring the Pandas and Numpy more.

por Jonathan P d A

6 de nov de 2018

Great course with great classes. The exercises are not complex which makes the practical part less good.

por Lucian P

13 de dez de 2021

Great content but problematic when you need to use IBM Cloud platform that doesn't accept new accounts.

por Juan J F

22 de mar de 2021

An excellent introduction to the techniques to analyze data and do the validation, very clear exercises

por Akshay S

22 de jun de 2020

Overall coerce is good. Just the algorithm explained at last weeks need to be more simple explanation,

por Rajeev P

22 de mar de 2020

It was a good course. Learnt a lot of statistics and how to implement them in python from this course.

por Hung C T

1 de mai de 2019

Would be better if some underlying theory of advanced topics is covered, such as Ridge Regression etc.

por Nicholas F

24 de nov de 2020

It would be good if there were more practice opportunities. Overall a good class for familiarization.


16 de set de 2020

week5-6 labs were tough for writing own code and for understanding. However for awareness, it was OK.

por Viwan J

24 de mai de 2019

It is a good course but -1 star because many typos/errors/unclear tasks in the assignment submission.

por Aisha P

26 de jul de 2022

I am fully satisfied with this course.this course helhed me to enhance my skill just awesome course.

por Vicente C L F

18 de nov de 2019

Very good course! I just missed more deep content as optional reading in Ridge, Grids and Pipelines.

por Stéphan D

6 de mar de 2022

S​ome technical problems with IBM watson while doing the course. Questions could be more difficult.

por Ivan L

9 de dez de 2021

Final Assignment is Ok, theory esp. some of the quizes subject for improvement (to make it perfect)

por Juan D M G

17 de jun de 2020

Muy buen curso y muy buenos laboratorios! SIn embargo a veces no explican la teoría tan al detalle.

por Shrinidhi S

9 de mai de 2020

My assignments with the correct answers were only given partial marks.Pls do the need for the same.