WYU-7030-MDMBA.APC1

Business Analytics in Healthcare

Intermediate Self-paced · 1 year access

21 Hands-On LiveLabs

Practice real IT tasks in guided environments.

Real environments
Auto-graded
No installation

01 / Lessons & labs

See exactly what you will learn and practice

Download outline (PDF)

Lessons

9 Interactive Lessons · 122 topics

01 Introduction to Analytics 23 topics · 2 LiveLab

The Importance of Quality Source Data
Data Structure Types
Centralized Data Benefits
Structured vs. Unstructured Data
Types of Data
Typical Sources of Business Data
Data Protection Policies
Search Engine Optimization
Data Life Cycle Management (DLM)
Data Analysis Process
What’s in a Name?
Why the Sudden Popularity of Analytics and Data Science?
The Application Areas of Analytics
The Main Challenges of Analytics
A Longitudinal View of Analytics
A Simple Taxonomy for Analytics
The Cutting Edge of Analytics: IBM Watson
What Is Data Mining?
What Data Mining Is Not
The Most Common Data Mining Applications
What Kinds of Patterns Can Data Mining Discover?
Popular Data Mining Tools
The Dark Side of Data Mining: Privacy Concerns

2 LiveLab in this lesson — see the labs panel →

02 Predictive Analytics Process and Data Sources 14 topics · 4 LiveLab

The Knowledge Discovery in Databases (KDD) Process
Cross-Industry Standard Process for Data Mining (CRISP-DM)
SEMMA
SEMMA Versus CRISP-DM
Six Sigma for Data Mining
Which Methodology Is Best?
Data E-Harmony: Working with Different Departments to Bring Data Together
The Purpose of Customer Relationship Management (CRM)
CRM Integration: A Banking Scenario
Obtaining Data from Email and User Forums
Obtaining Data from Other Knowledge Bases
Obtaining Data from CRM and Business-to-Business Frameworks
Transaction, Payment and Inventory Data
Using Multiple Data Sources

4 LiveLab in this lesson — see the labs panel →

03 Tools for Capturing, Analyzing, and Reporting Data 18 topics · 5 LiveLab

Data Analytics Tools
Capturing Data: Tableau Public
Capturing Data: Google BigQuery
Capturing Data: OpenRefine
Overview: Hadoop-Based Environments
Capturing and Analyzing Data in Hadoop
The R Project
Additional Software for Data Capture
Network Traffic
Data Integration
Why Testing is Important?
Statistical Computing and Programming
Organizational Efforts and Business Outcomes
Best Methods to Capture and Report Specific Data
Data Analysis and Reporting Dashboards
Create Reports and Charts
Create a Presentation for Reporting Data
Frequently Asked Questions for Presentations

5 LiveLab in this lesson — see the labs panel →

04 Methods and Algorithms for Predictive Analytics 19 topics · 5 LiveLab

The Nature of Data in Data Analytics
Preprocessing of Data for Analytics
Data Mining Methods
Prediction
Classification
Decision Trees
Cluster Analysis for Data Mining
k-Means Clustering Algorithm
Association
Apriori Algorithm
Data Mining and Predictive Analytics Misconceptions and Realities
Naive Bayes
Nearest Neighbor
Similarity Measure: The Distance Metric
Artificial Neural Networks
Support Vector Machines
Linear Regression
Logistic Regression
Time-Series Forecasting

5 LiveLab in this lesson — see the labs panel →

05 Introduction to Health IT and Data Flow in HIT 8 topics · 11 LiveLab

The Importance of the HITECH Act
Getting to Know Healthcare
The Goals of Healthcare IT
Learning Support Flow
Getting to Know Information Systems
Getting to Know HIS
Getting to Know the Interface
Following the Data Flow

11 LiveLab in this lesson — see the labs panel →

06 Advanced Topics in Predictive Modeling 4 topics · 1 LiveLab

Model Ensembles
Bias–Variance Trade-off in Predictive Analytics
Imbalanced Data Problems in Predictive Analytics
Explainability of Machine Learning Models for Predictive Analytics

1 LiveLab in this lesson — see the labs panel →

07 Bigdata for Predictive Analytics 22 topics · 4 LiveLab

Big Data
The Importance of IT Data Management
IT Business Environments
Cloud-Based Data
Cloud-Native Data
In-House Data
When to Migrate In-House Data to the Cloud
Variations of Cloud-Based Systems
Typical Databases Used for Data Analysis
Data-Driven Business Decisions
Impact of Data Errors
Importance of Organizational Strategy and Data Quality in Data Analytics
Data Modeling
Importance of Data Maintenance and Data Backup
Where Does Big Data Come From?
The Vs That Define Big Data
Fundamental Concepts of Big Data
The Business Problems That Big Data Analytics Addresses
Big Data Technologies
Data Scientists
Big Data and Stream Analytics
Data Stream Mining

4 LiveLab in this lesson — see the labs panel →

08 Deep Learning and Cognitive Computing 8 topics

Introduction to Deep Learning
Basics of “Shallow” Neural Networks
Elements of an Artificial Neural Network
Deep Neural Networks
Convolutional Neural Networks
Recurrent Networks and Long Short-Term Memory Networks
Computer Frameworks for Implementation of Deep Learning
Cognitive Computing

09 Text Analytics, Topic Modeling, and Sentiment Analysis 6 topics · 2 LiveLab

Natural Language Processing
Text Mining Applications
The Text Mining Process
Text Mining Tools
Topic Modeling
Sentiment Analysis

2 LiveLab in this lesson — see the labs panel →

Hands-On Labs Our edge

21 LiveLabs

Creating a Decision Tree in Python
Creating a Decision Tree in KNIME
Calculating the Churn Rate
Analyzing Customer Relationship Management
Calculating Consumer Lifetime Value in Banking
Understanding the RFM Analysis for Customer Segmentation

Labs run in your browser — nothing to install.

02 / FAQs

Questions before you start

Prepare for Business Analytics in Healthcare

One-time payment. Full access for 1 year. Start with a free trial if you want to look around first.

1 year of full access
21 LiveLab included
Certificate of completion

Try Free

No credit card required