Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Data Analysis with Python

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 ...
4.7
4.7/5
(13,569 reviews)
195,077 students
Created by

8.9

CourseMarks Score®

N/A

Freshness

8.8

Feedback

8.6

Content

Platform: Coursera
Video: 1h 47m
Language: English
Next start: Start anytime

Table of contents

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 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.

You will learn

Requirements

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Data Analysis knowledge.

This course is for

This course is suitable for beginners.
IBM Developer Skills Network
IBM
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.
Platform: Coursera
Video: 1h 47m
Language: English
Next start: Start anytime

Students are also interested in