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

4.7
estrelas
12,477 classificações
1,808 avaliações

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

SC
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.

RP
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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1526 — 1550 de 1,790 Avaliações para o Análise de dados com Python

por Rauf S

8 de Abr de 2020

you can explain more efficiently

por José C D S

7 de Jun de 2019

It took me longer than estimated

por Edoardo B

13 de Jan de 2019

Missing a Peer-reviewed exercise

por A A

22 de Jul de 2018

Where good to start for beginner

por Sripriya D

19 de Jul de 2020

it felt very dry for some parts

por Jignesh P

12 de Mai de 2020

Great Learning from this course

por Joseph S

3 de Mai de 2020

Modules 4 & 5 need more detail.

por Trang N D N

28 de Fev de 2020

there are some bugs in the lab

por Igor G

5 de Jun de 2019

No linter was used by authors.

por shrikesh s j

20 de Fev de 2020

it was worst experiance !!!!!

por VIGNESHKUMAR R

22 de Dez de 2019

Good but need to improve labs

por Sakthivadivelan

15 de Jul de 2020

labs can be more explanatory

por Tyler X

8 de Mai de 2019

It's a little hard to learn.

por A A A

13 de Abr de 2020

Fantastic coding experience

por Eslam G M I

2 de Fev de 2019

This course taught me a lot

por Nina W

22 de Jul de 2019

课程的视频部分讲的比较简单,阅读材料值得认真完成。

por Chandrakanth R

8 de Mai de 2019

Complex topic simplified

por lalitha_sri

11 de Jul de 2020

it was very helpful.

por Joshua T

28 de Jul de 2019

Final test had bugs.

por mahesh C

13 de Abr de 2020

can go more deeper

por Darshak S

28 de Jan de 2020

very useful course

por Chimi C

16 de Mai de 2019

was really nice

por Luis A A Y

15 de Jun de 2020

Great Course !

por Ruppa S S

14 de Mai de 2020

Great course!

por Jitendra K

29 de Dez de 2019

Best course .