Hands On Training

Introduction to MongoDB in Python

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

4 hours

Course Description

MongoDB lets you explore data in any format that suits your needs. MongoDB is a NoSQL database that does not adhere to strict relational SQL formatting. You can add layers to SQL to get some of the capabilities it offers. This simplifies the process. Dynamic schema lets you combine large amounts of data and consolidate analytics. MongoDB's flexibility lets you adjust and fix problems as your requirements change. This course will show you how to use MongoDB search and analytics. To answer questions about Nobel Laureates, you will use raw data from nobelprize.org.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Data Types for Data Science in Python

Python Data Science Toolbox (Part 2)

What You Will Learn

In this course, you will learn the MongoDB language and apply it to search and analytics

Learn to manipulate and analyze flexibly structured data with MongoDB

Course Content

Expand all sections

Module 1: Flexibly Structured Data

Module 2: Working with Distinct Values and Sets

Module 3: Get Only What You Need, and Fast

Module 4: Aggregation Pipelines: Let the Server Do It For You

Course Instructors

Donny Winston

Donny is a computer systems engineer at Lawrence Berkeley National Lab.

Donny is a computer systems engineer at Lawrence Berkeley National Lab. He is the principal web developer for the Materials Project (materialsproject.org), and he co-maintains several codebases and s...