Chevron Left
Voltar para Análise de dados com Python

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

4.7
estrelas
13,175 classificações
1,935 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.

Filtrar por:

1251 — 1275 de 1,916 Avaliações para o Análise de dados com Python

por Muhammad Z H

25 de Fev de 2020

Excellent

por ARAVIND R

14 de Fev de 2020

Excellent

por Johan R

16 de Jan de 2020

Excelente

por Satishkumar M

4 de Jan de 2020

Excellent

por Pradeep M

25 de Dez de 2019

Good one!

por Muhammad S K

17 de Set de 2019

Excellent

por YIYUN M

25 de Ago de 2019

excellent

por Madan K

5 de Jul de 2019

Excellent

por George Z

18 de Jun de 2019

perfect !

por Chironjeet K C

31 de Mai de 2019

Was good.

por Ahmed E A

26 de Mar de 2019

very nice

por chillamahesh

9 de Mar de 2019

very nice

por JunqiHu

19 de Set de 2018

s实际的案例不够多

por BHUVANENDRAN B

2 de Jul de 2020

Awesome!

por Daniel R

20 de Mai de 2020

perfect!

por lixulun

6 de Mai de 2020

课程节奏太棒了!

por Nicolas R

7 de Fev de 2020

Great :D

por Lanwo A R

22 de Dez de 2019

great!!1

por Roberto M

9 de Dez de 2019

awesome!

por Josemar M

23 de Ago de 2019

Completo

por Appala N

15 de Jun de 2019

good one

por Shashank R

6 de Abr de 2019

Amazing!

por Ivan I

26 de Mar de 2019

Awesome.

por Deleted A

21 de Mar de 2019

Good one

por yuebin l

20 de Fev de 2021

amazing