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

4.7
estrelas
12,475 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

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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1501 — 1525 de 1,788 Avaliações para o Análise de dados com Python

por Deepratna A

24 de Jun de 2019

Time and topic depth are not proportional at all.

por Patricia W

23 de Ago de 2020

I thought it should be a little more assistance.

por khaled C

22 de Abr de 2020

There are some little mistakes in the notebooks.

por Malege T M

26 de Ago de 2019

A thoroughly impactful and well presented course

por Hussain T

30 de Abr de 2019

a good course but its not going deep in things

por Serdar M

16 de Nov de 2018

would be better if there were more exercises.

por Shashank V M

9 de Abr de 2020

Simple as compared to real world challenges.

por Rohitaksh

20 de Set de 2019

Good Lab examples and thorough explanations.

por Ali N

17 de Jul de 2019

It was a good course. The labs were helpful.

por Balavignesh R C

18 de Dez de 2018

Good Understanding of Data Science concepts.

por Sai V A

19 de Abr de 2020

good course with almost all topics covered

por hayoung_lee@kbfg.com

7 de Abr de 2020

Easy to follow. Comprehensive explanation.

por Ahmad F

18 de Jan de 2019

concepts were not explained very carefully

por KONDAPALLI N K

13 de Mai de 2020

Excellent course with detail description.

por Manish C

28 de Mar de 2020

Best data analysis course for beginners .

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