Data Manipulation and Retrieval
In this course, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this!
Students will learn how to gather and extract data from widely used data formats. They will learn how to assess the quality of data and explore best practices for data cleaning. We will also introduce students to MongoDB, covering the essentials of storing data and the MongoDB query language together with exploratory analysis using the MongoDB aggregation framework.
This is a great course for those interested in entry-level data science positions as well as current business/data analysts looking to add big data to their repertoire, and managers working with data professionals or looking to leverage big data.
This course is also a part of our Data Analyst Nanodegree.
Rich Learning Content
Taught by Industry Pros
Student Support Community
The ideal student should have the following skills:
At least some experience using a unix shell or Windows PowerShell will be helpful, but is not required.
No prior experience with databases is needed.
This course is developed in conjunction with MongoDB, Inc., the originator and primary contributor to the open source database MongoDB. MongoDB is the leading NoSQL database. Designed for how we build and run applications today, MongoDB empowers organizations to be more agile and scalable. It enables new types of applications, better customer experience, faster time to market and lower costs.
See the Technology Requirements for using Udacity.
At the end of the class, students should be able to:
This course concludes with a final project where students incorporate what they have learned to address a real-world data analysis problem.