Data Literacy and Business Analytics for Business Leaders

Übersicht

Data need not be overwhelming. With fundamental data literacy skills, I will help you use data decision-making frameworks and statistics to create actionable business insights and presentations.

Instead of being stuck, this course will help you become confident about data-driven decision-making. And, I will show you how to make simple, clear, and compelling data presentations by the end.

Lehrplan

• Introduction to Data Literacy
Importance of data in business decision-making
Overview of data types and sources
• Data Collection and Management
Best practices for data collection
Organizing and storing data securely
• Fundamentals of Statistics for Business
Descriptive statistics: mean, median, mode, and standard deviation
Inferential statistics: sampling, hypothesis testing, and p-values
• Data Decision-Making Frameworks
Identifying business problems and relevant data
Frameworks for data-driven decision-making
• Data Analysis Techniques
Basic data analysis with spreadsheets
Introduction to data visualization tools
• Extracting Insights from Data
Analyzing data to identify patterns and trends
Translating data findings into actionable insights
• Communicating Data Insights
Principles of effective data storytelling
Creating compelling data presentations
• Practical Applications in Business
Case studies of data-driven decision-making
Interactive exercises and group projects
• Conclusion and Next Steps
Recap of key concepts
Resources for further learning and development

---

Unterrichtet von

Diogo Alves de Resende

---

Fachgebiete

Data Science