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Smart Data Management With Artificial Intelligence
Course
Artificial Intelligence (AI)
Course Overview
Understanding Data collection and management is a key skill that every manager needs. With the enormous explosion of data that organizations have access to, managers must know where their analysts are getting evidence from and how the data was generated. In addition, it has become imperative for managers to understand how data can be used to drive organizational decisions.Participants in this course will be able to understand how robust data analysis can be used to drive decision making and how organizations uncover new information to provide avenues for strategic moves. No prerequisite in statistics or data analytics is needed for this course.
Course Objectives
By the end of the course, participants will be able to:
- Justify the need for investing organizational resources in data analytics
- Ask the right questions to get the information needed for a robust data analysis project
- Describe the methods and techniques that are used for data analytics projects
- Explain how machine learning and artificial intelligence can help with data analytics
- Communicate and defend data-driven findings and decisions to stakeholders
Course Audience
This program is designed for professionals who seek to enhance their analytical capabilities and leverage artificial intelligence in decision-making and strategic planning, including:
- Business and Data Analysts – seeking to strengthen their analytical and visualization skills.
- Procurement, Supply Chain, and Operations Managers – aiming to apply data-driven insights for efficiency and performance improvement.
- Finance and Risk Professionals – interested in predictive modeling and AI-supported forecasting.
- IT and Data Science Practitioners – looking to integrate AI and machine learning tools into analytics processes.
- Project Managers and Business Strategists – wishing to make evidence-based decisions using advanced analytics.
- Executives and Decision Makers – who want to understand how AI and analytics can transform business strategies.
- Anyone involved in digital transformation initiatives within their organization
Course Methodology
The course uses a mix of interactive techniques, such as analytical tools, case studies, presentation development, presentation delivery, and individual feedback
Course Outline
Day 1: Foundations of Data Analytics
- Introduction to business data analytics
- Understanding quantitative data analysis
- Navigating big data and its business impact
- The evolving role of data scientists in the 21st century
- Developing a data-driven mindset: thinking like a data scientist
- The complete process of data analytics
- Gathering and validating the right information
Day 2: Research and Data Collection
- Conducting focused and effective business research
- Identifying and acquiring the right data sources
- Requesting and managing data and analytics within organizations
- Designing and running business experiments
- Applying the scientific method in data analysis
- Differentiating between data and metrics
- Understanding what is being measured and ensuring data integrity
- Trusting and safeguarding data for accurate use
Day 3: Data Analysis and Predictive Insights
- Understanding the true value of data
- Data visualization and effective presentation of results
- Overview of predictive analytics and forecasting
- Using historical data to anticipate future outcomes
- Applying regression analysis and evaluating relationships between variables
- Interpreting correlations and assessing confidence in findings
- Avoiding analytical pitfalls and recognizing outliers
Day 4: Advanced Tools and AI Integration
- Overview of modern data analysis tools and techniques
- Introduction to machine learning applications in data analysis
- Investing in artificial intelligence for enhanced decision-making
- Understanding statistical significance and non-linear systems
- Avoiding cognitive traps and biases in data interpretation
- Recognizing and addressing the limitations of data-driven decisions
Day 5: Communicating Insights and Emerging AI Applications
- Turning data into meaningful business insights
- Designing persuasive charts and visual stories
- Communicating uncertainty and the likelihood of events
- Challenging and validating analytical conclusions
- Using storytelling to influence data-driven decisions
- Understanding AI technologies for big data analytics
- Applying deep learning for pattern recognition and predictions
- Exploring AI use cases and case studies on business efficiency
Certificates
On successful completion of this training course, HighPoint Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.