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Volver a Análisis de datos con Python

Opiniones y comentarios de aprendices correspondientes a Análisis de datos con Python por parte de Habilidades en redes de IBM

15,304 calificaciones

Acerca del 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....

Principales reseñas


5 de may. 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.


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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2201 - 2225 de 2,314 revisiones para Análisis de datos con Python

por Bhanu S

28 de abr. de 2019

It was difficult to retain the knowledge imparted.

por Alton M

8 de jun. de 2019

The course requires more interactive programming.

por Xiangyu L

19 de ene. de 2019

There are lots of mistakes throughout the courses

por Abdul M A

17 de abr. de 2019

Not very interactive with fewer help to learners

por Ashwin G

26 de abr. de 2019

Too fast and could have included more examples.

por Gerhard E

12 de feb. de 2019

Copy of videos, not a fan of tools used in labs

por Aditya D J

8 de mar. de 2022

Nice, but I can't try IBM Cloud Trial for free

por Yasmin A

3 de feb. de 2020

Un cours riche et adéquat pour les débutants

por Hiro H

27 de nov. de 2019

Very nice course. It gives you what you need

por Brian S

29 de mar. de 2020

Notebooks are sloppy, with typos and errors

por Anjali

6 de abr. de 2022

I am not able to download my certificate.

por Fariha M

28 de sep. de 2020

The course didn't seem challenging to me.

por Sachin L

26 de sep. de 2019

More examples and detailed explanation

por Nilanjana

12 de jul. de 2019

More examples and code examples needed

por Hamed A

8 de abr. de 2019

The course needs a final assignment!

por piyush d

6 de dic. de 2019

exercises could have been better.

por Jyoti M

26 de mar. de 2020

I felt it was too fast to grasp.

por Baptiste M

2 de nov. de 2019

Final assignment is quite messy

por Murat A

21 de abr. de 2021

could not access the labs.

por Yuanyuan J

17 de ene. de 2019

Not clear on the last part

por Ahmad H

8 de jun. de 2019

This course is very tough

por conan s

20 de dic. de 2019

Lots of technical issues

por David V R

17 de jun. de 2019

Exams should be harder

por Riddhima S

8 de jul. de 2019

la lala la la laa aaa

por Daniel S

8 de feb. de 2019

Not easy to follow.