Data-Driven Decision Making: Mastering Business Analytics and Metrics for Strategic Growth
Certificate Upon Completion Participants receive a certificate upon completion issued by The Art of Service.
Course Overview This comprehensive course is designed to equip you with the skills and knowledge needed to make data-driven decisions that drive strategic growth in your organization. You'll master business analytics and metrics, and learn how to apply them in real-world scenarios.
Course Features - Interactive: Engaging video lessons, interactive quizzes, and hands-on projects
- Comprehensive: Covers 80+ topics in business analytics and metrics
- Personalized: Learn at your own pace, with flexible learning paths
- Up-to-date: Latest tools, techniques, and industry best practices
- Practical: Real-world applications and case studies
- Expert instructors: Seasoned professionals with industry expertise
- Certification: Receive a certificate upon completion
- Flexible learning: Access course content 24/7, on any device
- User-friendly: Easy-to-use platform, with clear navigation
- Mobile-accessible: Learn on-the-go, with mobile-friendly content
- Community-driven: Connect with peers, and join online discussions
- Actionable insights: Apply learning to real-world scenarios
- Hands-on projects: Practice skills, with guided projects
- Bite-sized lessons: Manageable chunks, for easy learning
- Lifetime access: Access course content, forever
- Gamification: Engaging challenges, with rewards
- Progress tracking: Monitor progress, with personalized metrics
Course Outline Module 1: Introduction to Business Analytics
- Defining business analytics
- Types of business analytics
- The role of business analytics in decision-making
- Introduction to data visualization
Module 2: Data Analysis Fundamentals
- Descriptive statistics
- Inferential statistics
- Data visualization best practices
- Introduction to data mining
Module 3: Business Metrics and KPIs
- Defining business metrics
- Types of business metrics
- Key performance indicators (KPIs)
- Creating a balanced scorecard
Module 4: Data Visualization
- Data visualization tools
- Best practices for data visualization
- Creating dashboards and reports
- Storytelling with data
Module 5: Predictive Analytics
- Introduction to predictive analytics
- Types of predictive models
- Regression analysis
- Decision trees and clustering
Module 6: Big Data and NoSQL
- Introduction to big data
- NoSQL databases
- Hadoop and Spark
- Big data analytics
Module 7: Machine Learning
- Introduction to machine learning
- Types of machine learning algorithms
- Supervised and unsupervised learning
- Deep learning
Module 8: Business Intelligence
- Introduction to business intelligence
- Business intelligence tools
- Data warehousing
- ETL and data governance
Module 9: Strategic Decision-Making
- Introduction to strategic decision-making
- Decision-making frameworks
- Scenario planning
- Sensitivity analysis
Module 10: Capstone Project
- Apply learning to a real-world project
- Guided project, with mentor support
- Present findings, and receive feedback
Course Format This course is delivered online, with interactive video lessons, quizzes, and hands-on projects. You'll have lifetime access to course content, and can learn at your own pace.
Course Features - Interactive: Engaging video lessons, interactive quizzes, and hands-on projects
- Comprehensive: Covers 80+ topics in business analytics and metrics
- Personalized: Learn at your own pace, with flexible learning paths
- Up-to-date: Latest tools, techniques, and industry best practices
- Practical: Real-world applications and case studies
- Expert instructors: Seasoned professionals with industry expertise
- Certification: Receive a certificate upon completion
- Flexible learning: Access course content 24/7, on any device
- User-friendly: Easy-to-use platform, with clear navigation
- Mobile-accessible: Learn on-the-go, with mobile-friendly content
- Community-driven: Connect with peers, and join online discussions
- Actionable insights: Apply learning to real-world scenarios
- Hands-on projects: Practice skills, with guided projects
- Bite-sized lessons: Manageable chunks, for easy learning
- Lifetime access: Access course content, forever
- Gamification: Engaging challenges, with rewards
- Progress tracking: Monitor progress, with personalized metrics
Course Outline Module 1: Introduction to Business Analytics
- Defining business analytics
- Types of business analytics
- The role of business analytics in decision-making
- Introduction to data visualization
Module 2: Data Analysis Fundamentals
- Descriptive statistics
- Inferential statistics
- Data visualization best practices
- Introduction to data mining
Module 3: Business Metrics and KPIs
- Defining business metrics
- Types of business metrics
- Key performance indicators (KPIs)
- Creating a balanced scorecard
Module 4: Data Visualization
- Data visualization tools
- Best practices for data visualization
- Creating dashboards and reports
- Storytelling with data
Module 5: Predictive Analytics
- Introduction to predictive analytics
- Types of predictive models
- Regression analysis
- Decision trees and clustering
Module 6: Big Data and NoSQL
- Introduction to big data
- NoSQL databases
- Hadoop and Spark
- Big data analytics
Module 7: Machine Learning
- Introduction to machine learning
- Types of machine learning algorithms
- Supervised and unsupervised learning
- Deep learning
Module 8: Business Intelligence
- Introduction to business intelligence
- Business intelligence tools
- Data warehousing
- ETL and data governance
Module 9: Strategic Decision-Making
- Introduction to strategic decision-making
- Decision-making frameworks
- Scenario planning
- Sensitivity analysis
Module 10: Capstone Project
- Apply learning to a real-world project
- Guided project, with mentor support
- Present findings, and receive feedback
Course Format This course is delivered online, with interactive video lessons, quizzes, and hands-on projects. You'll have lifetime access to course content, and can learn at your own pace.
Module 1: Introduction to Business Analytics
- Defining business analytics
- Types of business analytics
- The role of business analytics in decision-making
- Introduction to data visualization
Module 2: Data Analysis Fundamentals
- Descriptive statistics
- Inferential statistics
- Data visualization best practices
- Introduction to data mining
Module 3: Business Metrics and KPIs
- Defining business metrics
- Types of business metrics
- Key performance indicators (KPIs)
- Creating a balanced scorecard
Module 4: Data Visualization
- Data visualization tools
- Best practices for data visualization
- Creating dashboards and reports
- Storytelling with data
Module 5: Predictive Analytics
- Introduction to predictive analytics
- Types of predictive models
- Regression analysis
- Decision trees and clustering
Module 6: Big Data and NoSQL
- Introduction to big data
- NoSQL databases
- Hadoop and Spark
- Big data analytics
Module 7: Machine Learning
- Introduction to machine learning
- Types of machine learning algorithms
- Supervised and unsupervised learning
- Deep learning
Module 8: Business Intelligence
- Introduction to business intelligence
- Business intelligence tools
- Data warehousing
- ETL and data governance
Module 9: Strategic Decision-Making
- Introduction to strategic decision-making
- Decision-making frameworks
- Scenario planning
- Sensitivity analysis
Module 10: Capstone Project
- Apply learning to a real-world project
- Guided project, with mentor support
- Present findings, and receive feedback