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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

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16,178 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

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.

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.

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2151 - 2175 de 2,443 revisiones para Análisis de datos con Python

por B N B

6 de jun. de 2020

GOOD COURSE

por Shubham M

27 de feb. de 2019

Good Course

por julien A

26 de sep. de 2022

Very Good

por SAURAV

11 de mar. de 2022

goodcourse

por Sajeev R

25 de jul. de 2021

Lear Again

por Bhavesh J

22 de jun. de 2020

informaive

por Omer. K

11 de oct. de 2021

excellent

por Daniel F V V

24 de ago. de 2020

Good job

por Isaac N

3 de dic. de 2019

Thank's

por Veronica S

6 de abr. de 2019

not bad

por Germán G R

17 de mar. de 2022

so so

por Sakhumzi D

8 de sep. de 2021

Decent

por KIRTAN K

13 de oct. de 2022

good

por moh a

29 de sep. de 2022

very

por Hesham M R

10 de nov. de 2022

easy

por Motlatsi M

23 de dic. de 2020

BEST

por Landyn C O

6 de oct. de 2020

good

por David H

7 de mar. de 2020

good

por Oseyi K

12 de jul. de 2019

good

por Abhishek K S

23 de abr. de 2019

good

por Vigneshwaran P

13 de mar. de 2019

good

por Ayo S

23 de oct. de 2018

Good

por Sandesh L

13 de sep. de 2022

wow

por Momin P

22 de may. de 2022

na

por vic l

17 de oct. de 2021

no