At the end of the class, students should be able to: Programmatically extract data stored in common formats such as csv, Microsoft Excel, JSON, XML and scrape web sites to parse data from HTML. Audit data for quality (validity, accuracy, completeness, consistency, and uniformity) and critically assess options for cleaning data in different contexts. Store, retrieve, and analyze data using MongoDB.This course concludes with a final project where students incorporate what they have learned to address a real-world data analysis problem.

Hands On Training

Data Wrangling with MongoDB

Name: Data Wrangling with MongoDB
Brand: Careervira
Availability: InStock
Rating: 1 (1 reviews)

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Course Report

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Course Features

Duration

2 months

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Course Description

This course focuses on the important skill of data wrangling, which involves gathering and shaping data from various sources to support data-driven applications. Students will learn how to extract data from popular formats and evaluate its quality, as well as techniques for cleaning the data. The course also provides an introduction to MongoDB, covering the basics of storing data and using the query language. Students will also explore the MongoDB aggregation framework for conducting exploratory analysis. This course is ideal for individuals interested in entry-level data science positions or current business data analysts looking to expand their skills to include big data. It is also beneficial for managers who work with data professionals or want to leverage big data. This course is part of a larger program, the Data Analyst Nanodegree.

Course Overview

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Programming experience in Python or a willingness to read a little documentation to understand examples and exercises throughout the course

The ability to perform rudimentary system administration on Windows or Unix

What You Will Learn

Data Extraction FundamentalsAssessing the Quality of DataIntro to Tabular FormatsParsing CSV

Data in More Complex FormatsXML Design PrinciplesParsing XMLWeb Scraping

Data QualitySources of Dirty DataA Blueprint for CleaningAuditing Data

Working with MongoDBData Modelling in MongoDBIntroduction to PyMongoField Queries

Analyzing DataExamples of Aggregation FrameworkThe Aggregation PipelineAggregation Operators: $match, $project, $unwind, $group

Case Study - OpenStreetMap DataUsing iterative parsing for large datafilesOpen Street Map XML OverviewExercises around OpenStreetMap data

Course Content

Expand all sections

Module 1: Data Extraction Fundamentals

Module 2: Data in More Complex Formats

Module 3: Data Quality

Module 4: Working with MongoDB

Course Instructors

Gundega Dekena

Instructor

Shannon Bradshaw

Instructor

Data Wrangling with MongoDB

Course Report

Course Features

Course Description

Module 1: Data Extraction Fundamentals

Module 2: Data in More Complex Formats

Module 3: Data Quality

Module 4: Working with MongoDB

Course FAQs

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