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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

16,188 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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2026 - 2050 de 2,444 revisiones para Análisis de datos con Python

por David O

26 de jul. de 2020

The materials are well-organized, but there are many typos throughout.

por Angeliki M

2 de dic. de 2019

A really good course. Probably the best so far in the IBM Certificate.

por Nanjun L

9 de ene. de 2019

Would be better if more programming-oriented assignments are provided.

por Rahul P

12 de may. de 2020

Excellent course with detailed hands-on experience via lab exercises.

por Manas C

31 de mar. de 2020

The course covers all the fundamental concepts needed for a beginner.

por Obong G

19 de feb. de 2019

Though found the ending modules a bit challenging, its a great course

por Padraig M D

7 de jun. de 2020

Quite a challenging course, but very rewarding. I really enjoyed it.

por mohsin a

17 de oct. de 2020

Hands on Labs are awesome .They helped to consolidate my concepts .

por Rohit S P

25 de abr. de 2019

Needed a more brief explanation on ridge regression and grid search

por Ninad M K

14 de jul. de 2020

It is a great course and it teaches me data analysis with python.

por Liezl M

13 de jul. de 2022

One of the best courses I have done is the Data Analysis series.

por Ginger M

18 de mar. de 2020

I think that for weeks 4 and 5 the course needs more explanation

por Wen P

24 de dic. de 2019

Easy understanding

Good sample and comprehensive

Good for beginner

por Jeff J

27 de ago. de 2019

Nicely explained. But many minor mistakes here and there though

por Bashar M

5 de feb. de 2019

thank you very much ,this course was very useful and interesting

por Cherif H W A

14 de dic. de 2019

as usual the labs are great but the videos could be much better

por Nicholas J F

3 de may. de 2019

Good content. Still spelling errors and mistakes in some place.

por Mudita N

20 de feb. de 2019

Last few weeks were a bit confusing but overall a good course .

por Ismayil J

5 de nov. de 2018

Good overview of classic Statistic methods performed in Python.

por Shine

18 de jun. de 2019

There are something wrong in the final assignment submit page.

por Tatiana K

25 de ene. de 2019

Great course, but the number of errors in videos is tremendous

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