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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.
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.
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.
Shannon is Director of Education at MongoDB, managing MongoDB University's in-person training and free online courses. Prior to joining MongoDB, Shannon was an Associate Professor of Computer Science at Drew University with research interests in user experience, information science, and the semantic web. For the past several years, Shannon has divided his time between academia and industry. He has trained software engineers at Goldman Sachs, designed text-retrieval systems at Morgan Stanley, and built many trading and analytics applications at boutique firms in the financial industry.
Once upon a time Gundega was a Udacity student. In a way she still is, because she is learning new things from instructors she works with and her Udacity coworkers every day.
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