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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

LM

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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.

AB

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Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.

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876 - 900 of 2,855 Reviews for Data Analysis with Python

By OLATUNJI O E

Dec 5, 2020

The structuring and delivery of this course is the best of the series.

By Cristian D A

Nov 16, 2020

Aprendí muchas nociones básicas de python enfocado a análisis de datos

By Anupam D

Sep 10, 2020

Fast track course for learning Exploratory Data Analysis and modelling

By KEE L E

Jun 20, 2020

Easy to follow with practical, relatable cases as coursework examples.

By Khar S Y

Jun 8, 2020

This course is really good for beginner whom have no basics in Python.

By Rama Y

Apr 4, 2020

Provide useful skills for industry-standard Data Analysis of real data

By Deleted A

Aug 2, 2018

Really helpful introduction to machine learning and predictive models!

By PJ G

Jun 14, 2023

Only downside is the rampant malicious grading with the peer reviews.

By Samuel N

Mar 5, 2022

Was a well directed,self explanatory course thanks to the instructors

By Rohan R

May 18, 2021

It was Great Learning. Thanks to IBM for creating such a good course.

By Tauqeer H S

Mar 16, 2021

The best course, The course was thought in a very well organized way.

By Pavan M

Feb 18, 2021

The best course for those started learning data analysis with python.

By Rama C S

Oct 4, 2020

Neat course! Teaches the fundamental approach for preprocessing data.

By sk a k

Jun 25, 2020

Good course for the beginners who choose data science as their career

By Muhammad B

May 22, 2020

The course made me dig deep into data analysis. I have learned a lot.

By Hitesh K

Apr 18, 2020

short and precise course, overall good for getting a general overview

By Md S H

Mar 13, 2020

The course is much more convenient for developing a successful career

By Ken V

Mar 1, 2020

Pretty good course structure. You'll learn easily during the practice

By José R

Dec 23, 2019

Excellent courses. Provides the key Python's tools for data analysis.

By Bhavani S

Nov 5, 2019

filled so many gaps in my knowledge about basics of data analysis. <3

By Dhiraj K

Sep 27, 2019

The course helped me in learning of various data analysis techniques.

By Venkata R S

Dec 28, 2018

An Excellent course for Data Analysis ,.. gives lot of information !!

By Enock A

Jul 17, 2023

A great way, to start learning python programming for data analysis.

By Justin E

Feb 24, 2023

All I can really say is that this is a very straight-forward course.

By Elias L

Sep 9, 2022

Nice to discover the basic libraries used in a Data Science project