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Querying Arrays Using Scalars Data Wranging with MongoDB

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Lessons List | 107 Lesson
Intro Data Wrangling with MongoDB
00:02:12

Intro Data Wrangling with MongoDB
Action Time Data Wranging with MongoDB
00:00:15

Action Time Data Wranging with MongoDB
Assessing the Quality of Data Pt 1 Data Wranging with MongoDB
00:00:15

Assessing the Quality of Data Pt 1 Data Wranging with MongoDB
Assessing the Quality of Data Pt 2 Data Wranging with MongoDB
00:02:11

Assessing the Quality of Data Pt 2 Data Wranging with MongoDB
Tabular Formats Data Wranging with MongoDB
00:01:43

Tabular Formats Data Wranging with MongoDB
CSV Format
00:02:09

CSV Format
Parsing CSV Files Data Wranging with MongoDB
00:02:06

Parsing CSV Files Data Wranging with MongoDB
Parsing CSV Files Data Wranging with MongoDB
00:01:55

Parsing CSV Files Data Wranging with MongoDB
Problematic Line Data Wranging with MongoDB
00:00:14

Problematic Line Data Wranging with MongoDB
Problematic Line Data Wranging with MongoDB
00:00:20

Problematic Line Data Wranging with MongoDB
Using CSV Module Data Wranging with MongoDB
00:04:38

Using CSV Module Data Wranging with MongoDB
Intro to XLRD
00:06:29

Intro to XLRD
Reading Excel Files Data Wranging with MongoDB
00:01:08

Reading Excel Files Data Wranging with MongoDB
Reading Excel Files Data Wranging with MongoDB
00:02:13

Reading Excel Files Data Wranging with MongoDB
Intro to JSON Data Wranging with MongoDB
00:03:22

Intro to JSON Data Wranging with MongoDB
Data Modeling in JSON Data Wrangling with MongoDB
00:00:38

Data Modeling in JSON Data Wrangling with MongoDB
JSON Playground Data Wranging with MongoDB
00:06:08

JSON Playground Data Wranging with MongoDB
Exploring JSON Data Wranging with MongoDB
00:00:53

Exploring JSON Data Wranging with MongoDB
Exploring JSON Data Wranging with MongoDB
00:00:53

Exploring JSON Data Wranging with MongoDB
Check You Out Data Wranging with MongoDB
00:00:18

Check You Out Data Wranging with MongoDB
Welcome to Lesson 2 Data Wranging with MongoDB
00:00:19

Welcome to Lesson 2 Data Wranging with MongoDB
Intro to XML
00:02:09

Intro to XML
XML Design Principles Data Wranging with MongoDB
00:03:43

XML Design Principles Data Wranging with MongoDB
XML in Practice Data Wrangling with MongoDB
00:01:08

XML in Practice Data Wrangling with MongoDB
Fundamentals of XML Data Wranging with MongoDB
00:04:30

Fundamentals of XML Data Wranging with MongoDB
Parsing XML Data Wranging with MongoDB
00:04:52

Parsing XML Data Wranging with MongoDB
Extracting Data Data Wranging with MongoDB
00:00:58

Extracting Data Data Wranging with MongoDB
Handling Attributes Data Wranging with MongoDB
00:01:11

Handling Attributes Data Wranging with MongoDB
Intro to Screen Scraping Data Wranging with MongoDB
00:00:20

Intro to Screen Scraping Data Wranging with MongoDB
Introducing the Working Example Data Wranging with MongoDB
00:01:26

Introducing the Working Example Data Wranging with MongoDB
Example Details Data Wranging with MongoDB
00:00:37

Example Details Data Wranging with MongoDB
Where s the Data Data Wranging with MongoDB
00:01:57

Where s the Data Data Wranging with MongoDB
Procedure Data Wranging with MongoDB
00:01:48

Procedure Data Wranging with MongoDB
Extracting Entities Data Wranging with MongoDB
00:02:50

Extracting Entities Data Wranging with MongoDB
Beginning to Build Our http Requests Data Wranging with MongoDB
00:01:17

Beginning to Build Our http Requests Data Wranging with MongoDB
More Work Than We Thought Data Wranging with MongoDB
00:02:18

More Work Than We Thought Data Wranging with MongoDB
How Many Form Elements Data Wranging with MongoDB
00:00:20

How Many Form Elements Data Wranging with MongoDB
How Many Form Elements Data Wranging with MongoDB
00:00:18

How Many Form Elements Data Wranging with MongoDB
Using Beautiful Soup Data Wranging with MongoDB
00:01:52

Using Beautiful Soup Data Wranging with MongoDB
Broken Requests Data Wranging with MongoDB
00:01:43

Broken Requests Data Wranging with MongoDB
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Course Description

Data wrangling involves processing the data in various formats and analyzes and get them to be used with another set of data and bringing them together into valuable insights. It further includes data aggregation, data visualization, and training statistical models for prediction .
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