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Data Analysis with Python, IBM

735 calificaciones
106 revisiones

Acerca de este Curso

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 analyses, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Data sets 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....

Principales revisiones

por OA

Jul 13, 2018

I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course

por UD

Aug 06, 2018

I like this one very much. Yes, the course was difficult but easy to follow and enjoyable. Thank you for making me think a lot, and thank you for all your hardwork.

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107 revisiones

por Jyoti Devi Sankhwar

Dec 09, 2018

This course is very informative and good for beginners.Exercises are very useful.

por Lei Liao

Dec 09, 2018

very good. I will continue.


Dec 08, 2018

Good content through out the learning, the lab notebooks are great resource to do the Hands on by ourselves. Includes each corner of the analysis methods. Good foundation course

por Guy Pollack

Dec 06, 2018

So many mistakes in videos and labs, including spelling errors, misnaming functions and code that causes errors.

These have been listed extensively in the course discussion forums, with some complaints from over 6 months ago, and have not been addressed

por Vikram Raghava

Dec 04, 2018

I felt the course isn't designed well as it takes you little fast than expected and doesn't explain all the terms! May be one has to be very good at math or revise all the topics before taking this course.

por Benjamin Jones

Dec 01, 2018

many mistakes throughout

por Slim Said

Nov 30, 2018

Simple and Efficient

por Jishu Basak

Nov 30, 2018

Good Bootcamp on data analysis

por Jaimahaprabhu A

Nov 30, 2018


por Haixia Jin

Nov 26, 2018

very concise script - time saving and clear.