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

4.7
estrelas
15,281 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

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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1551 — 1575 de 2,311 Avaliações para o Análise de dados com Python

por Zijun H

30 de abr de 2022

Great!

por Abul B

22 de fev de 2022

thanks

por AHMED A I M

3 de out de 2021

GOOOOD

por Ishita

1 de mar de 2021

Great!

por Kasi V

1 de nov de 2020

Thanks

por Piriyapong W

25 de mai de 2020

Great!

por Purple M

21 de mar de 2020

great!

por Alberto T

28 de fev de 2020

Useful

por oussama r

12 de out de 2019

Greaat

por Смолеевский В Г

14 de set de 2019

Great!

por Adil S

27 de jan de 2019

zaebis

por Nightcore E

15 de jul de 2022

tuyệt

por Amol C

6 de set de 2021

great

por Mehmet G I

18 de fev de 2021

10/10

por KIM T

16 de fev de 2021

Great

por CS M L

26 de jan de 2021

great

por Shreya M

13 de out de 2020

Great

por Rafiul A

4 de ago de 2020

Great

por Pankaj S

24 de jun de 2020

great

por Fernando P

13 de mai de 2020

Nice!

por saiganesh g

11 de mai de 2020

Happy

por Mauro M M R

23 de mar de 2020

great

por kuncoro a n

18 de jan de 2020

goood

por Diego B

18 de dez de 2019

great

por Arnab C

15 de ago de 2019

best!