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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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16,210 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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2051 - 2075 de 2,449 revisiones para Análisis de datos con Python

por Logic

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 ene. 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 sep. de 2020

Buen curso, los talleres permiten la aplicación de conceptos

por Welamaza A M

18 de jun. de 2022

Well taught and is challenging enough to keep one motivated

por Abhay S

12 de may. de 2020

Quiz sections are very simple in comparison to the lessons.

por Brijesh O

6 de may. 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 may. 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 ene. 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 ene. de 2019

The question jumped up in the video is quite annoying.

por John A

20 de jul. de 2021

Quite disappointed with the material in the course.

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 ene. 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

por Alexandru S

3 de jun. de 2019

A lot of information, it is at times hard to follow.

por Boru R

6 de sep. de 2020

good course, but final assignment is way too simple

por siu t

19 de jul. de 2020

Week 4 was too hard, while other modules were okay.

por Pham T S

13 de jun. de 2020

Very good course for learning about buidling models

por Neelam S

3 de ene. de 2020

Examples should contain more codes used frequently.

por ZJ Y

1 de oct. de 2019

it might need updating according to the new version