Building Statistical KPIs Dashboards

It all begins with effective data collection and/or selection. This requires a good understanding of various data types and their sources. Proper organization makes it easier to describe results using appropriate and efficient descriptive statistical measures. This workshop focuses on important aspects of creating a smart data collection process, selecting the best sampling approach, validating the quality of stored information for analysis, and identifying corresponding descriptive statistical KPIs.

Workshop Overview

Learning Outcomes

• Plan the lifecycle for a successful data analysis project.

• Translate any business into a comprehensive database.

• Assess data quality for analysis and reporting purposes.

• Explore various sampling methods and potential pitfalls.

• Describe and interpret data using descriptive statistics.

• Interpret estimates based on sample results.

• Differentiate between fluctuation and confidence intervals.

Detailed Course Schedule

• Day 1:

  • Central Tendency Measurements

  • Scatter Tendency Measurements

• Day 2:

  • Central Limit Theorem

  • Estimations and Sampling

• Day 3:

  • Descriptive Statistics with Excel, and Python

• Colored five stars PPT Booklet

• Case studies from A to Z

• Group exercises for live practices

• Proprietary vs. Open-source tools

• Report design 101

• Average, Median, and Mode

• Variance and Standard Deviation

• Probabilistic vs. non-probabilistic sampling

What will it be about?