Data Analysis with Python

Overview

Key Features

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:

• Importing Datasets
• Cleaning the Data
• Data frame manipulation
• Summarizing the Data
• Building machine learning Regression models
• 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 Data Analysis with Python offered by Coursera in partnership with IBM and earn the Coursera course certificate, you will also earn an IBM digital badge.