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

4.7
estrelas
13,310 classificações
1,948 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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1601 — 1625 de 1,928 Avaliações para o Análise de dados com Python

por Jeff J

27 de Ago de 2019

Nicely explained. But many minor mistakes here and there though

por Bashar M

5 de Fev de 2019

thank you very much ,this course was very useful and interesting

por Cherif H W A

14 de Dez de 2019

as usual the labs are great but the videos could be much better

por Nicholas J F

3 de Mai de 2019

Good content. Still spelling errors and mistakes in some place.

por Mudita N

20 de Fev de 2019

Last few weeks were a bit confusing but overall a good course .

por Ismayil J

5 de Nov de 2018

Good overview of classic Statistic methods performed in Python.

por Shine

18 de Jun de 2019

There are something wrong in the final assignment submit page.

por Tatiana K

25 de Jan de 2019

Great course, but the number of errors in videos is tremendous

por Yongda F

16 de Jun de 2020

This is a good course for beginners, but not enough in-depth.

por Eliezer A

30 de Jul de 2019

there are some errors in the code lines through the lecutres.

por WANG T

24 de Jan de 2019

Typos in the videos and notebooks should have been corrected.

por Raja U A

4 de Mar de 2021

Course Contents were excellent but not well arranged/planned

por alvaro a

30 de Set de 2020

Buen curso, los talleres permiten la aplicación de conceptos

por Abhay S

12 de Mai de 2020

Quiz sections are very simple in comparison to the lessons.

por Brijesh O

6 de Mai de 2020

Final assignment could be better thought out. very simple.

por Rahul S

18 de Jul de 2019

Very Helpful course..and very good contents..learnt alot..

por Narayanaswamy N

25 de Mai de 2019

First go for module 8 - Machine Learning and come to this.

por Ajay M

7 de Mar de 2020

The Non-Graded Online Assignment need more practice cases

por Filiberto H

17 de Jan de 2020

Very difficult if you don't have some statistics bases

por Serena R T

22 de Nov de 2019

A tough course yet interesting. Like the lab exercises

por Ran D

4 de Jan de 2019

The question jumped up in the video is quite annoying.

por Umasankar M

1 de Ago de 2020

Need more model development examples will be helpful

por Themba M

11 de Jun de 2020

Explanation of lab steps has a room for improvement.

por Andres E S G

11 de Jan de 2020

It could have a little more theory about statistics.

por Adesua A D

4 de Nov de 2019

My first course on coursera and its very informative