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IT: Programming & Software Development
Advanced Data Integration and Analysis
Curriculum
1 Section
27 Lessons
30 hours
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Unit 4 — Advanced Data Integration and Analysis
27
1.1
Executing the Code
20 mins
1.2
Interacting with Data from NoSQL Databases
20 mins
1.3
Dealing with Missing Data
20 mins
1.4
Visualizing Graphs
20 mins
1.5
Understanding Correlation
20 mins
1.6
Playing with Neural Networks
20 mins
1.7
Accessing the Huge List of Resources on Data Science Central
20 mins
1.8
Trudging Through the MovieLens Dataset
20 mins
1.9
Viewing Your Notebook
20 mins
1.10
Accessing Data from the Web
20 mins
1.11
Slicing and Dicing: Filtering and Selecting Data
20 mins
1.12
Working with Cramér’s V
20 mins
1.13
Discovering New Beginner Data Science Methodologies at Data Science 101
20 mins
1.14
Locating the Correct Data Source
20 mins
1.15
Sharing Your Notebook
20 mins
1.16
Concatenating and Transforming
20 mins
1.17
Modifying Data Distributions
20 mins
1.18
Obtaining the Most Authoritative Sources at Udacity
20 mins
1.19
Working with Handwritten Information
20 mins
1.20
Getting Help
20 mins
1.21
Aggregating Data at Any Level
20 mins
1.22
Receiving Help with Advanced Topics at Conductrics
20 mins
1.23
Working with Pictures
20 mins
1.24
Obtaining the Facts of Open Source Data Science from Springboard
20 mins
1.25
Indentifying Data Lineage
20 mins
1.26
Zeroing In on Developer Resources with Jonathan Bower
20 mins
1.27
Interacting with a Huge Graph
20 mins
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