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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
12,252 ratings
1,772 reviews

About the Course

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews

RP

Apr 20, 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.

SC

May 06, 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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551 - 575 of 1,753 Reviews for Data Analysis with Python

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 08, 2020

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

By Rama Y

Apr 04, 2020

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

By Deleted A

Aug 02, 2018

Really helpful introduction to machine learning and predictive models!

By Rama C S

Oct 04, 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 Mohammad S H

Mar 13, 2020

The course is much more convenient for developing a successful career

By Ziliang L

Mar 02, 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 Bhasha

Nov 05, 2019

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

By Dhiraj K 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 Christopher J M

Oct 02, 2020

Outstanding coverage of Python tools and concepts for data analysis!

By GAURAV D G

May 06, 2020

excellent course fo those who want to start a career in data science

By ONG K S

Oct 30, 2019

So far the best course to learn about statistical model development.

By Shulin V K S

Jan 29, 2019

excellent course, ideal for everyone aspiring to be a data scientist

By Natalia M

Oct 07, 2018

Great and informative - amazing basis for Data Analytics with Python

By Abdoulaye B

May 14, 2020

highly recommend this course to anyone who wants to do data science

By Eduard C

Jul 15, 2019

This is the best course in the IBM professional certificate program

By Edwin K

Apr 09, 2020

I enjoyed the course because the labs were helpful for me to learn

By Bakari D

Jul 22, 2019

Great basis for developing regression models and model evaluation.

By Osinowo p i

Jul 15, 2019

Not a bad course but you need to still do your homework thoroughly