Business Analytics & Data-Driven Decision Making
Data & Business Analytics
Business Analytics & Data-Driven Decision Making
| Duration | 5 Days |
|---|---|
| Language | English |
| Course Format | Classroom / Online |
| Certificate | Yes |
Detail
In today’s fast-paced business environment, organizations must leverage data and analytics to drive strategic decision-making and gain a competitive edge. This Business Analytics & Data-Driven Decision Making course provides participants with the skills to extract insights from data, use analytics to improve performance, and apply data-driven strategies for business growth.
This course focuses on practical applications of business analytics, helping participants:
- Understand the role of data in decision-making across industries.
- Apply key business analytics techniques to solve real-world challenges.
- Utilize predictive modeling, data visualization, and AI-driven analytics.
- Enhance strategic planning through data interpretation and trend analysis.
- Improve operational efficiency, profitability, and risk management.
By the end of this course, participants will be able to:
- Understand key concepts in business analytics and data science.
- Collect, clean, and interpret business data for decision-making.
- Use advanced analytical techniques such as predictive analytics and machine learning.
- Build dashboards and data visualizations for real-time insights.
- Leverage data analytics for strategic planning and process optimization.
- Apply statistical models to analyze trends and forecast outcomes.
This course is ideal for professionals across various industries, including:
- Business Analysts & Data Analysts
- Executives, Managers & Decision-Makers
- Finance & Accounting Professionals
- Marketing & Sales Managers
- IT & Data Science Professionals
- Operations & Supply Chain Specialists
- Entrepreneurs & Business Owners
Day 1:Business Analytics Fundamentals
- Introduction to business analytics and big data
- Understanding data sources and types
- Data-driven decision-making frameworks
- Overview of descriptive, predictive, and prescriptive analytics
- Case study: How top organizations use business analytics
Day 2: Data Collection & Visualization
- Data gathering, cleaning, and preparation
- Exploratory data analysis (EDA) techniques
- Using Excel, Power BI, and Tableau for visualization
- Building interactive dashboards
- Creating a business performance dashboard
Day 3:Statistical & Predictive Analytics
- Key statistical methods for business analysis
- Regression analysis & trend forecasting
- Introduction to predictive modeling and AI-driven insights
- Customer segmentation and market analysis
- Hands-on case study: Forecasting sales and market demand
Day 4:Advanced Analytics & AI Applications
- Machine learning basics for business applications
- Sentiment analysis and text analytics
- AI-driven business intelligence tools
- Data-driven strategy formulation
- Practical exercise: Applying AI models for business insights
Day 5: Implementing Data-Driven Decision Making
- Integrating analytics into business strategy
- Overcoming data challenges and biases
- Data security, ethics, and compliance
- Real-world case study: Data-driven transformation success stories
- Final project: Applying analytics to a real-world business challenge
Classroom Dates
10 - 14 November 2025
Istanbul (Turkey)
3950€
Istanbul (Turkey)
3950€
16 - 20 November 2025
Dubai (UAE)
3950€
Dubai (UAE)
3950€
24 - 28 November 2025
Rome (Italy)
3950€
Rome (Italy)
3950€
15 - 19 December 2025
Paris (France)
3950€
Paris (France)
3950€
28 - 1 December 2025
Dubai (UAE)
3950€
Dubai (UAE)
3950€