Advanced Data Visualization and Predictive Analytics with Power BI
25/10/2024Legal Compliance and Contract Governance
26/10/2024Data Science for Business Leaders: Strategic Applications and Performance Measurement
£4,000.00
Overview:
This training program is designed to equip business leaders with a foundational understanding of data science concepts and their applications to business strategy. Focusing on practical skills, leaders will learn how to identify business challenges that data science can solve, interpret data insights, work effectively with data science teams, and measure the ROI of data initiatives. The program includes a focus on data governance, data-driven decision-making, and ethical data use, preparing participants to lead data-driven transformations confidently.
Program Objectives:
By the end of this course, participants will be able to:
- Grasp essential data science concepts, terminologies, and their business applications.
- Identify business challenges that can be addressed with data science and align them with strategic goals.
- Effectively interpret and visualize data insights to support decision-making.
- Work collaboratively with data science teams and build a data-driven culture.
- Implement data governance practices and ensure ethical, compliant data use.
- Measure the ROI of data science projects and understand performance metrics.
Target Audience:
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- Business Leaders, Senior Executives, and Project Managers
- Non-Technical Managers Interested in Data Science
- Chief Data Officers, Digital Transformation Leads, and Business Analysts
Program Outline:
Day 1: Introduction to Data Science for Business
- Data Science and Its Role in Business – Importance of data-driven decision-making.
- Overview of Data Science Methods and Tools – Key tools and techniques for business applications.
- Understanding Data and Data Visualization Basics – Types, sources, and visualization principles.
- Advanced Data Science Concepts – AI, machine learning, deep learning, and industry trends.
- Case Studies – Real-world applications of data science in various industries.
- Reflection & Review: Discussing the strategic importance of data science in business leadership.
Day 2: Identifying Business Challenges and Data Solutions
- Mapping Business Challenges to Data Science Solutions – Identifying actionable insights.
- KPIs and Data-Driven Strategies – Using KPIs to measure success and drive strategy.
- Designing Data-Driven Strategies – Developing data-aligned business plans.
- Data Governance and Security Best Practices – Understanding privacy, GDPR, CCPA, and compliance.
- Hands-On Exercise: Identifying business challenges and aligning data solutions with strategic goals.
- Reflection & Review: Discussion on data governance’s role in safeguarding organizational data.
Day 3: Data Analytics, Visualization, and Predictive Models for Business
- Predictive Analytics for Business – Basics of forecasting and predicting trends.
- Overview of Common Models – Regression, classification, clustering, and their business applications.
- Data Interpretation and Visualization – Reading dashboards and visualizing insights for stakeholders.
- Performance Tracking and ROI Measurement – Tools and techniques for measuring business impact.
- Hands-On Exercise: Analyzing a dataset and visualizing insights for business strategy.
- Reflection & Review: Case study on using predictive models and visualization for customer segmentation.
Day 4: Leading Data Science Teams and Cross-Departmental Collaboration
- Effective Collaboration with Data Science Teams – Bridging communication with technical teams.
- Building a Data-Driven Culture – Encouraging data-informed practices across the organization.
- Cross-Departmental Collaboration – Ensuring alignment on goals and outcomes across functions.
- Ethical Data Use and Compliance – Addressing bias, fairness, and ethical considerations in data use.
- Hands-On Exercise: Role-play exercise on presenting data-driven insights and engaging with data teams.
- Reflection & Review: Discussing strategies to foster collaboration and ethical data practices.
Day 5: Data-Driven Decision Making, Performance Monitoring, and Capstone Project
- Data-Driven Decision Making for Leaders – Integrating insights into leadership and strategic actions.
- Turning Insights into Business Actions – Translating data findings into actionable strategies.
- ROI Measurement and Performance Metrics – Using dashboards and tools like Power BI for tracking.
- Future Trends in Data Science for Business – Understanding AI advancements and ethical implications.
- Capstone Project: Creating a data-driven business plan based on a case study, incorporating key course concepts.
- Reflection & Review: Final presentations, feedback on project strategy, and course wrap-up.