Chevron Left
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
estrellas
16,009 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.

Filtrar por:

2201 - 2225 de 2,417 revisiones para Análisis de datos con Python

por Benoit P D

4 de may. de 2019

por CHEW K C

14 de mar. de 2021

por Sadanand U

9 de abr. de 2019

por Joseph M

21 de feb. de 2019

por Tejas M J

4 de may. de 2021

por Michael L

1 de ene. de 2021

por Deren T

7 de ene. de 2019

por Kristen P

18 de ago. de 2019

por L V P K M

14 de may. de 2020

por Taqi H

18 de jul. de 2022

por Ivan L

28 de abr. de 2019

por Vladimir K

24 de feb. de 2020

por Naveen B

12 de jul. de 2019

por Sruthi A

20 de ene. de 2021

por Marta I

23 de ago. de 2020

por Ying W O

27 de sep. de 2019

por Matteo T

1 de ene. de 2020

por Marcel V

28 de jun. de 2019

por Milica V

24 de mar. de 2022

por Dylan H

3 de abr. de 2019

por Xuecong L

16 de feb. de 2019

por Namra A

8 de ago. de 2021

por Hao Z

12 de ago. de 2019

por Neo B

11 de feb. de 2019

por Goh S T

8 de abr. de 2020