Data Science for Business Professionals – CNX-DSBIZ
This course offers business professionals with the necessary knowledge to help make decisions and drive organizational data strategies by understanding data fundamentals, implementation tactics, and potential effects of data-driven solutions.
Benefits of Data Science
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.
The certification DSBIZ DSZ-210 from CertNexus is included in the course.
CertNexus is a vendor-neutral certification body, providing emerging technology certifications and micro-credentials for business, data, IT and security professionals.
Learning objective
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
Target audience
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.
This course is also designed to assist learners in preparing for the CertNexus® DSBIZ™ (Exam DSZ-210) credential.
Prerequisites
To ensure your success with this course, you should have basic knowledge of business processes, general business concepts, and relevant data that helps to solve business problems or achieve business goals. You should also have a basic understanding of information technology (IT) resources and systems, including networks, computers, and other digital devices used in an enterprise setting.
Course content
Data Science Fundamentals
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)
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
Lifecycle Stages
Problem Identification
Data Collection
Preprocessing
Exploratory Data Analysis
Modeling
Model Deployment
Communication of Results
Discussing the Data Science Lifecycle
Functions of Data Science in Business
Customer Experience
Personalized CX
Sentiment Analysis
Recommender Systems
Self-Service Support
Chatbots and Virtual Assistants
Improving Customer Experience
Audience Segmentation
Targeted Advertising
Campaign Optimization
Marketing Measurement Analysis
Improving Marketing Efforts
- Fraud Detection
- Minimization of Loan Defaults
- Reduction of Intellectual Property Theft
- Risk Identification and Mitigation
- Cybersecurity Considerations
- Optimizing Organizational and Transactional Security
- System or Component Failure
- Sales Forecasting
- Dynamic Pricing
- Customer Churn
- Talent Acquisition
- Transportation and Logistics
- Enhancing Operational Practices
Implementing Business Requirements for Data Science
What Is a Data-Centric Organization?
Challenges Associated with Building a Data-Centric Organization
Organizational Preparation
Team Preparation
Discussing the Development of Data-Centric Organizations
Selection of Business Cases for Implementation
Implementation Investments
Data Collection Considerations
Data Preparation Considerations
Modeling and Deployment Considerations
Results Communication Considerations
Developing an Implementation Strategy
Effects on Overall Business Operations
Effects on Business Processes and Practices
Data Issues
AI-Related Risks
Discussing the Impact of Data Science on Business
Ethical Considerations
Legal and Regulatory Considerations, Frameworks, and Guidelines
Discussing Governance Measures
Certification
This training is preparing you for CertNexus® DSBIZ (Exam DSZ-210).
This exam will certify that the candidate will have an understanding of what data science is, how it relates to and can benefit business functions, identify potential risks, and demonstrate an understanding of the challenges and milestones of implementing data science and becoming a data-driven organization.
The exam is included in the price.
Passing Score: 80% (20 out of 25)
Number of questions: 25
Duration: Estimated 20-45 minutes
Format: Multiple Choice/Multiple Response/True-False
Upon successful credentials candidates will earn the CertNexus DSBIZ credentials.
Do you have any questions please contact
- Mette Rosenløv Vad
- Konsulent
- +45 72202432