Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,485 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

May 5, 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.

Apr 19, 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.

Filter by:

2876 - 2890 of 2,890 Reviews for Data Analysis with Python

By James

•

Sep 1, 2019

Shambolically organised, an overt plug for IBM's barely functional cloud systems

By Steve L

•

Jun 7, 2019

Hardly challenging. No programming practice and all MCQs.. unstimulating.

By Paolo F

•

Mar 19, 2020

Salta dei pezzi. Spiega troppo veloce e non ti lascia vedere le slide

By Miranda F

•

Sep 26, 2024

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

By Александр Л

•

May 9, 2020

The course is interesting, but those who check are inattentive

By Krishna S

•

Jun 13, 2019

Worst mooc I ever taken, they just advertise about IBM

By Deepanshu J

•

Oct 21, 2022

Not telling the practical just explaing the theory

By Jinling C

•

Jul 3, 2019

so confused and several errors , pls correct them

By Kenneth H

•

May 4, 2020

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

By Michael R

•

Aug 31, 2018

No support from moderators, plenty of typos.

By saurabh r

•

May 26, 2024

worst course till now, Ai generated voice

By Laura E

•

Aug 6, 2024

Boring narration

By Dmytro F

•

Nov 30, 2021

Waste of time

By wanlinberg

•

Sep 2, 2019

根本就打不开任何视频

By mostafaabuzeid

•

Feb 11, 2020

V.Bad