Data Wrangling with MongoDB
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.
Prerequisites and Requirements: 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. See the for using Udacity.
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| Rating | Not enough ratings |
|---|---|
| Length | Approx. 2 months |
| Starts | On Demand (Start anytime) |
| Cost | $0 |
| From | Udacity |
| Instructors | Gundega Dekena, Shannon Bradshaw |
| Download Videos | Only via web browser |
| Language | English |
| Subjects | Programming |
| Tags | Computer Science Software Development |
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| Rating | Not enough ratings |
|---|---|
| Length | Approx. 2 months |
| Starts | On Demand (Start anytime) |
| Cost | $0 |
| From | Udacity |
| Instructors | Gundega Dekena, Shannon Bradshaw |
| Download Videos | Only via web browser |
| Language | English |
| Subjects | Programming |
| Tags | Computer Science Software Development |
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