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

4.7
estrelas
13,325 classificações
1,949 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

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.

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.

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1651 — 1675 de 1,929 Avaliações para o Análise de dados com Python

por MOUSSA S

26 de Abr de 2020

Excellent ! Helped me discover new tools

por Harshil G

29 de Abr de 2020

It's very good start into data science.

por Oladeji S O

13 de Mai de 2020

Wonderful course, I really enjoyed it

por Asmita K

6 de Out de 2019

Average Course with simple learning.

por Mithun k S

2 de Mai de 2020

linkage between each module require

por Ardit Z

2 de Fev de 2020

Too easy. Make it more challenging!

por Sachin G

29 de Mai de 2019

should have more thorough examples

por Liliana R

14 de Nov de 2018

There are some errors in the labs

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 Shamik K

27 de Dez de 2020

Diff course but well planned !

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 Rhytham D

7 de Abr de 2021

It is a good crash course