Course Features
Duration
6 weeks
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Teaching Type
Self Paced
Course Description
Course Overview
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
To take this course, you should be comfortable programming in Python and familiar with Python concepts like classes, objects, and modules The Introduction to Python Programming course would be a good place to start learning that material
What You Will Learn
Data Analysis ProcessLearn about the data analysis processPose a question, wrangle your data, draw conclusions and/or make predictionsComplete an analysis of Udacity student data using pure Python, with few additional libraries
NumPy and Pandas for D DataStart learning to use NumPy and Pandas to make the data analysis process easierFeatures that apply to one-dimensional dataLearn to use NumPy arrays, Pandas Series, and vectorized operations
NumPy and Pandas for D DataContinue learning about NumPy and Pandas, this time focusing on two-dimensional dataLearn to use two-dimensional NumPy arrays and Pandas DataFramesGroup your data and to combine data from multiple files
Investigate a DatasetUse NumPy and Pandas to go through the data analysis process on one of a list of recommended datasets
Course Instructors
Caroline Buckey
Instructor