Business Data Analytics: Insights for Strategic Decisions Event, 16.Feb.2026

Course Description

This intensive 5-day course equips professionals with essential data analytics skills for business decision-making. Participants will learn to collect, analyze, and visualize data using industry-standard tools and techniques. The course covers the entire data analytics lifecycle, from data collection to presenting actionable insights.

Learning Objectives

• Understand the fundamentals of data analytics and its business applications
• Master data collection, preparation, and cleaning techniques
• Develop proficiency in data analysis and statistical methods
• Create compelling data visualizations and dashboards
• Apply data-driven insights to solve real-world business problems
• Communicate analytical findings effectively to stakeholders

Course Modules

Day 1: Introduction to Business Data Analytics

• Overview of data analytics in business
• The data analytics lifecycle
• Key data analytics tools and technologies
• Data types and sources in business contexts

Day 2: Data Collection and Preparation

• Data collection methods and best practices
• Data cleaning and preprocessing techniques
• Handling missing data and outliers
• Data integration and transformation

Day 3: Exploratory Data Analysis and Statistics

• Descriptive statistics and data summarization
• Correlation analysis and hypothesis testing
• Trend analysis and forecasting
• Introduction to machine learning for business

Day 4: Data Visualization and Dashboarding

• Principles of effective data visualization
• Creating charts, graphs, and infographics
• Building interactive dashboards
• Storytelling with data

Day 5: Applying Data Analytics in Business

• Case studies in marketing, finance, and operations
• Predictive analytics for decision-making
• Ethics and privacy in data analytics
• Presenting insights to stakeholders

Practical Wins for Participants

• Ability to extract actionable insights from complex datasets
• Proficiency in using data visualization tools for effective communication
• Skills to implement data-driven strategies in various business functions
• Confidence in presenting analytical findings to senior management