Data Analysis with Python

( 478 Reviews )

Created by: Joseph Santarcangelo

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Overall Score : 96 / 100

Course Description

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 Datasets2) Cleaning the Data3) Data frame manipulation4) Summarizing the Data5) Building machine learning Regression models6) Building data pipelinesData 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.

Time: 11h

Instructor Details

Joseph Santarcangelo

4.8 Rating
478 Reviews

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

Reviews

4.8

478 total reviews

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By Wendy H on 31-Oct-19

One of the best course in IBM Professional certification program

By Obinna M N on 1-Nov-19

very nice course

By CM on 17-Aug-19

good to learn basics of data analysis and python libraries for data science and analysis. very useful for beginners

By Adhikari M T B A on 15-Jun-19

This course core purpose is to teach the student how to perform analysis in detail. I have taken a lot of courses related to data analysis but no one teaches in detail and gives great examples. I highly recommend this course to all student who wants to learn data analysis with python.

By Josemar T M d S on 26-Jan-19

Amazing content.

By Wadii G on 27-Jan-19

zaebis

By Andrei B on 27-Feb-19

Good Course

By Ignacio on 24-Feb-19

Great course, you can understand in a general way the use os Python to analyse raw data and organice it to create a better model. However I couldn't use in a proper way the external tool.

By Naveen M N S on 23-Feb-19

I had to remove 1 star just because of the fact that a project is not included in this one. Yes, you do have labs but there you are forced to write code in way so that you don't encounter problems later in the notebook.In a project or an assignment work, you have to play with variables and confusions and errors out of wonderland show up which lead to greater clarification.The course in itself is great and undoubtedly good in functioning as a prerequisite for Machine Learning and surely I'd recommend it to anyone who asks for an opinion. The explanations are good and much easier to understand along with the visual demonstrations.I'd advise that after learning anything during this course, look for some database online and play with it yourself(I didn't but had to regret cuz I'd forget the code again and again).OVERALL : GO AHEAD, it's worth it

By Chiayu L on 20-Feb-19