Overview
Improve your Data Literacy and Business Analytics. Apply Business Statistics for Data Driven Decision Making.
Syllabus
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- 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
Taught by
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