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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

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


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.


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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2076 - 2100 de 2,443 revisiones para Análisis de datos con Python

por Malege T M

26 de ago. de 2019

A thoroughly impactful and well presented course

por Sachin M

29 de jun. de 2021

Need more details other-wise very good course.

por Hussain T

30 de abr. de 2019

a good course but its not going deep in things

por Serdar M

16 de nov. de 2018

would be better if there were more exercises.


18 de ago. de 2021

Not very easy to understand the coding part.

por Myrlene C

15 de mar. de 2021

Great Course.. It went a bit too fast though

por Shashank V M

9 de abr. de 2020

Simple as compared to real world challenges.

por GSR S

20 de sep. de 2019

Good Lab examples and thorough explanations.

por Ali N

17 de jul. de 2019

It was a good course. The labs were helpful.

por Balavignesh R C

18 de dic. de 2018

Good Understanding of Data Science concepts.

por Linh T

30 de oct. de 2022

I wish there're more explain and examples.

por Priyanka S

30 de may. de 2021

Good course for beginners in data analysis

por Vishal A

19 de abr. de 2020

good course with almost all topics covered


7 de abr. de 2020

Easy to follow. Comprehensive explanation.

por ahmed f

18 de ene. de 2019

concepts were not explained very carefully


13 de may. de 2020

Excellent course with detail description.

por Manish C

28 de mar. de 2020

Best data analysis course for beginners .

por Krishnaraj S B

21 de ene. de 2023

very tough course not for begginer level

por Hardcore G

18 de jun. de 2022

It was such a great experience learning.

por Javier I R

26 de dic. de 2021

Easy, fast. A good course for beginners.

por Moussa S

26 de abr. de 2020

Excellent ! Helped me discover new tools

por Harshil G

29 de abr. de 2020

It's very good start into data science.

por Atuhaire B E

17 de sep. de 2022

Very mind challenging but insightful

por Δημήτρης Τ

1 de mar. de 2022

It was a beneficial lesson generally.

por Oladeji S O

13 de may. de 2020

Wonderful course, I really enjoyed it