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MongoDB for Data Wrangling: Aggregation

MongoDB for Data Wrangling: Aggregation


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

MongoDB is a NoSQL database program that uses JSON-like documents with schemata and it has become a popular tool for data wrangling and data science. To carry out data wrangling tasks you need to gather, filter, modify, and query data. In this Skillsoft Aspire course, you will learn to perform MongoDB actions related to data wrangling through the PyMongo library.



Expected Duration (hours)
0.9

Lesson Objectives

MongoDB for Data Wrangling: Aggregation

  • Course Overview
  • recognize the structure of aggregate operations in MongoDB
  • use the $group operator to perform a computation using an accumulator operator
  • use the $match operator to filter data in an aggregation query
  • use the $project operator to specify fields in an aggregation query
  • use the $limit and $sort operators in an aggregation pipeline
  • use the $unwind operator to expand an array field
  • use the $lookup operator to perform a join
  • use createIndex to build an index on a collection
  • use a geospacial index for a geoSearch operation
  • implement a multi-stage aggregation pipeline
  • Course Number:
    it_dsmgswdj_02_enus

    Expertise Level
    Intermediate