Overview
Are you overwhelmed with the pressure of making data-driven decisions? Struggling to manage the constant influx of conflicting data? Our live online course, "Fundamentals of Data Analysis," is designed for professionals familiar with MS Excel, aiming to enhance their problem-solving skills. Go beyond qualitative analysis and delve into quantitative tools and methods that empower you to interpret and utilize data for informed business decisions.
Participants will learn to organize, summarize, and interpret quantitative data effectively. Our course offers a structured process for data analysis, helping you uncover hidden patterns and shorten the time to actionable insights. Discover the value of data in addressing business questions, and boost your confidence in decision-making.
Who should attend: Business professionals seeking essential tools for quantitative analysis to navigate the vast data they encounter daily and improve decision-making capabilities.
Course Benefits:
- Learn best practices for data organization and interpretation.
- Develop a repeatable analysis process.
- Uncover hidden data patterns.
- Identify and apply data analysis tools.
- Avoid "analysis paralysis" by reducing the time from analysis to action.
- Understand data's role in strategic decision-making.
Course Coverage:
- Understanding the need for information in context.
- Using the Data as a Strategic Model (DASA) for analysis.
- Framing the right questions for optimal results.
- Collecting and organizing relevant data.
- Choosing suitable data analysis tools and techniques.
- Interpreting and translating data into insights.
- Applying analytical tools to business challenges.
Course Outline:
- Introduction: Recognize the strategic value of data.
- Framing Questions: Identifying relevant business issues.
- Finding Data: Discovering and profiling usable data.
- Shaping the Data Table: Resolving data collection issues.
- Analyzing the Data: Using tools like Microsoft Excel.
- Applying the Results: Implementing data-driven insights.
Special Feature: An MS Windows-based laptop with Internet access and at least Excel 2019 or 365 is required.
University: Provider: CourseHorse
Categories: Data Analysis, Business Intelligence, Data Visualization, Microsoft Excel, Data Collection, Data-Driven Decision Making, Data Management, Statistical Analysis, Data Interpretation.
Syllabus
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