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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

4.7
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16,180 calificaciones

Acerca del Curso

Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating data pipelines You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them. In addition to video lectures you will learn and practice using hands-on labs and projects. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. You will also work with scipy and scikit-learn, to build machine learning models and make predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge....

Principales reseñas

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 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.

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2101 - 2125 de 2,443 revisiones para Análisis de datos con Python

por Lovely K

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15 de jun. de 2022

this course is very important for me

por ASMITA K

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6 de oct. de 2019

Average Course with simple learning.

por MK S

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2 de may. de 2020

linkage between each module require

por Alpha Z

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2 de feb. de 2020

Too easy. Make it more challenging!

por Sachin G

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29 de may. de 2019

should have more thorough examples

por Liliana R (

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14 de nov. de 2018

There are some errors in the labs

por Rauf S

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8 de abr. de 2020

you can explain more efficiently

por José C D S

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7 de jun. de 2019

It took me longer than estimated

por Edoardo B

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13 de ene. de 2019

Missing a Peer-reviewed exercise

por ABHISHEK A

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22 de jul. de 2018

Where good to start for beginner

por Ruchika G

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25 de dic. de 2022

best course for basic concepts.

por Sripriya D

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19 de jul. de 2020

it felt very dry for some parts

por Jignesh P

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12 de may. de 2020

Great Learning from this course

por Joseph S

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3 de may. de 2020

Modules 4 & 5 need more detail.

por Shamik K

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27 de dic. de 2020

Diff course but well planned !

por Trang N D N

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28 de feb. de 2020

there are some bugs in the lab

por Igor G

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5 de jun. de 2019

No linter was used by authors.

por JAWALGEKAR S S

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20 de feb. de 2020

it was worst experiance !!!!!

por VIGNESHKUMAR R

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22 de dic. de 2019

Good but need to improve labs

por Sakthivadivelan

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15 de jul. de 2020

labs can be more explanatory

por Tyler X

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8 de may. de 2019

It's a little hard to learn.

por A A A

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13 de abr. de 2020

Fantastic coding experience

por Eslam G M I

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2 de feb. de 2019

This course taught me a lot

por Nagendra K S

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30 de jun. de 2022

Good Course to start with.

por Rhytham D

•

7 de abr. de 2021

It is a good crash course

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