MongoDB Inc. - Data Wrangling with MongoDB
- Offered byUDACITY
Data Wrangling with MongoDB at UDACITY Overview
Data Wrangling with MongoDB
at UDACITY
Advance your career & demonstrate the marked advantage in your organization
Duration | 2 months |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Credential | Certificate |
Data Wrangling with MongoDB at UDACITY Highlights
Data Wrangling with MongoDB
at UDACITY
- Real World Projects from Industry Experts
- Flexible Learning Program
- Self-Paced Learning
- 1-on-1 Technical Mentor & Career Coach
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Data Wrangling with MongoDB at UDACITY Course details
Data Wrangling with MongoDB
at UDACITY
Skills you will learn
What are the course deliverables?
- Enhance your skill set and boost your hirability through innovative, independent learning
- Self-Paced Learning
- Rich Learning Content
More about this course
- 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 C100professionals or looking to leverage big data.
Data Wrangling with MongoDB at UDACITY Curriculum
Data Wrangling with MongoDB
at UDACITY
Data Extraction Fundamentals
Assessing the Quality of Data
Intro to Tabular Formats
Parsing CSV
Data in More Complex Formats
XML Design Principles
Parsing XML
Web Scraping
Data Quality
Sources of Dirty Data
A Blueprint for Cleaning
Auditing Data
Working with MongoDB
Data Modelling in MongoDB
Introduction to PyMongo
Field Queries
Analyzing Data
Examples of Aggregation Framework
The Aggregation Pipeline
Aggregation Operators: match, project, unwind, group
Case Study - OpenStreetMap Data
Using iterative parsing for large datafiles
Open Street Map XML Overview
Exercises around OpenStreetMap data
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