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Practical Statistics and Data Analysis SSCX International

Practical Statistics and Data Analysis

Objectives

  • Understand practical statistics and basic analytical tools.

  • Interpret data distribution in terms of central tendency and variability.

  • Understand proper sampling techniques.

  • Apply basic statistical analyses and tools for operational and business decision-making purposes.

  • Interpret process stability and assess process capability.

  • Identify variations in both product and process performance.

Key Contents

  • Basic Statistics: Understanding central tendency and variability

  • How to use graphical statistics: Run Chart, Histogram, Box Plot, Pie Chart, and Scatter Diagram

  • Normal distribution and confidence interval

  • Determining appropriate sample size

  • Statistical Process Control (SPC)

  • Control charts: understanding process variation

  • Understanding process capability: Cp and Cpk

Who Should Attend

Operations personnel, analysts, and anyone in the organization who is required to have statistical data analysis knowledge and skills to become a fact-based and data-driven analyst.

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Upcoming Public Training

SSCX International Sertifikasi Green Belt

Lean Six Sigma Green Belt Certification


29 September 2025 – 1 October 2025

Hotel Wyndham Casablanca, South Jakarta

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Lean Six Sigma White Belt Certification SSCX International

Lean Six Sigma White Belt Certification


29 September 2025 – 30 September 2025

Hotel Wyndham Casablanca, South Jakarta

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Sertifikasi Yellow Belt SSCX International

Lean Six Sigma Yellow Belt Certification


14 October 2025 – 16 October 2025

Hotel Wyndham Casablanca, South Jakarta

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Bolder Result.

Featured Insights: SSCX’s most inspiring thought leadership on issues shaping the future of business and society.


Practical Statistics and Data Analysis

SSCX as a consulting firm which’s focusing in Operational Excellence, productivity, and business process improvement. SSCX delivers breakthrough results that make businesses more efficient and productive, cost effective, and achieving operational excellence.

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