Day 2: Data Analysis and Visualization-

Session 1: Recap and Introduction

  • Begin the day with a brief recap of Day 1’s key concepts and skills.
  • Emphasize the importance of data analysis in business decision-making.
  • Outline the objectives for Day 2.

Session 2: Data Import and Manipulation Techniques

  • Discuss various methods for importing data into spreadsheets.
  • Demonstrate techniques for cleaning and transforming data.
  • Cover common data manipulation tasks like filtering, sorting, and merging datasets.

Session 3: Descriptive Statistics and Data Visualization

  • Explain the importance of descriptive statistics in understanding data.
  • Cover measures of central tendency, variability, and distribution.
  • Introduce data visualization techniques using charts and graphs in Excel.

Session 4: Pivot Tables and Data Summarization

  • Introduce pivot tables as a powerful tool for data summarization and analysis.
  • Demonstrate how to create pivot tables in Excel.
  • Explain pivot table features such as grouping, filtering, and calculated fields.

Session 5: Hands-on Exercise: Data Analysis and Visualization

  • Provide participants with a dataset (e.g., sales data, customer data).
  • Instruct participants to perform descriptive analysis and create visualizations.
  • Encourage participants to present their findings to the group.

Session 6: Q&A and Wrap-Up

  • Address any questions or challenges participants encountered during the exercise.
  • Summarize the key takeaways from the day’s sessions.
  • Assign any homework or readings for preparation for Day 3, if necessary.
  • Provide contact information for instructor assistance.