Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,235 ratings

About the Course

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....

Top reviews

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Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

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A great introduction to fitting data in python.

The core principles and measures are well explained.

The only slight minus point: No information about the interpretation of fitting parameters.

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2851 - 2862 of 2,862 Reviews for Data Analysis with Python

By Miranda F

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Sep 26, 2024

So many errors in this course - made it very difficult at times.

By Александр Л

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May 9, 2020

The course is interesting, but those who check are inattentive

By Krishna S

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Jun 13, 2019

Worst mooc I ever taken, they just advertise about IBM

By Deepanshu J

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Oct 21, 2022

Not telling the practical just explaing the theory

By Jinling C

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Jul 3, 2019

so confused and several errors , pls correct them

By Kenneth H

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May 4, 2020

I would like to give it a 0 but it won't let me

By Michael R

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Aug 31, 2018

No support from moderators, plenty of typos.

By saurabh r

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May 26, 2024

worst course till now, Ai generated voice

By Laura E

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Aug 6, 2024

Boring narration

By Dmytro F

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Nov 30, 2021

Waste of time

By wanlinberg

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Sep 2, 2019

根本就打不开任何视频

By mostafaabuzeid

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Feb 11, 2020

V.Bad