The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today’s business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold that raw data into information that facilitates decisions to improve and expand the success of the business.

In this course, you will identify how data science supports informed business decisions. You will:
• Explain the fundamentals of data science.
• Identify functions of data science for business.
• Implement business requirements for data science.

This course is primarily designed for business professionals and leaders who are interested in growing the business by leveraging the power of data science. Other individuals who wish to explore basic data science concepts may also benefit from taking this course.

Lesson 1: Data Science Fundamentals
Topic A: What Is Data Science?
– Data Science
– The Elements of Data Science
– Data Teams
– Required Skills and Knowledge
– Data Analytics
– Descriptive Analytics
– Types of Descriptive Analytics
– Diagnostic Analytics
– Types of Diagnostic Analytics
– Predictive Analytics
– Types of Predictive Analytics
– Prescriptive Analytics
– Types of Prescriptive Analytics
– Statistical Analysis Concepts
– Related Concepts and Technologies
– Pulling It All Together
– Discussing Data Science and Related Technologies
– Identifying Data Science Opportunities from a Dataset (Optional)
Topic B: Types of Data
– Big Data
– Structured, Unstructured, and Semi-Structured Data
– Open and Proprietary Data
– Data Sources
– Data Repositories
– Discussing Types of Data Used in Data Science Projects
Topic C: The Data Science Lifecycle
– Lifecycle Stages
– Problem Identification
– Data Collection
– Preprocessing
– Exploratory Data Analysis
– Modeling
– Model Deployment
– Communication of Results

Lesson 2: Functions of Data Science in Business
Topic A: Improve Customer Experience
– Customer Experience
– Personalized CX
– Sentiment Analysis
– Recommender Systems
– Self-Service Support
– Chatbots and Virtual Assistants
– Improving Customer Experience
Topic B: Improve Marketing Efforts
– Audience Segmentation
– Targeted Advertising
– Campaign Optimization
– Marketing Measurement Analysis
– Improving Marketing Efforts
Topic C: Optimize Organizational and Transactional Security
– Fraud Detection
– Minimization of Loan Defaults
– Reduction of Intellectual Property Theft
– Risk Identification and Mitigation
– Cybersecurity Considerations
– Optimizing Organizational and Transactional Security
Topic D: Enhance Operational Practices
– System or Component Failure
– Sales Forecasting
– Dynamic Pricing
– Customer Churn
– Talent Acquisition
– Transportation and Logistics
– Enhancing Operational Practices

Lesson 3: Implementing Business Requirements for Data Science
Topic A: Develop a Data-Centric Organization
– What Is a Data-Centric Organization?
– Challenges Associated with Building a Data-Centric Organization
– Organizational Preparation
– Team Preparation