Certificate Course on Data Analysis & Statistical Process Control

Develop Practical Statistical Skills for Data-Driven Decision Making!

🎓 Short Course on Data Analysis & Statistical Process Control

📅 Course Dates: 17, 18, 24 & 25 November
⏰ Time: 8.00 PM – 10.30 PM
🖥️ Mode: Online
🎓 Certificate: Completion / Participation (A Certificate of Completion/Participation will be issued in either soft copy or hard copy format.)

👨‍🏫 Resource Person

👨‍🏫 Resource Person
Prof. R. M. Kapila Tharanga Rathnayake
Professor in Statistics
Faculty of Applied Sciences
Sabaragamuwa University of Sri Lanka

💰 Course Fee:
LKR 10,000 / USD 50

💳 Payment Methods
Online Payment:
🌐 pay.iassl.lk
Bank Transfers:
🏦 Institute of Applied Statistics Sri Lanka (IASSL)
People’s Bank: 086100130008638
Sampath Bank: 003460001586

📩 After payment, please scan a copy of the payment slip and send it to:
📧 [email protected]
📱 Or WhatsApp: 077 732 4802

📝 Register: https://forms.gle/CbrdU97tzuVpmzFN8
🔥 Register now and enhance your statistical data analysis skills with practical training in SPSS and Minitab!

🌐 More Information: www.iassl.lk
📞 Contact: 0112 588 291 | 077 732 4802
📧 Email: [email protected]

Course Fee

LKR 10,000 (Local), USD 50 (International)

Teacher Of Course

👨‍🏫 Resource Person
Prof. R. M. Kapila Tharanga Rathnayake
Professor in Statistics
Faculty of Applied Sciences
Sabaragamuwa University of Sri Lanka

Information Of Course

Category

Duration Time

📅 Course Dates: 17, 18, 24 & 25 November / ⏰ Time: 8.00 PM – 10.30 PM

Level

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Pay Now

Course Features

📖 Key Learning Areas:

  • Data Identification
  • Data Collection :
    • Primary Data and Secondary Data
    • Main Steps To Conducting A Smart Survey
  • Population and Sample
  • Sampling Techniques
  • Hypothesis Testing
    • Estimation of population parameters
    • Hypothesis testing
  • Experimental Design
  • Statistical Tools for Data Analysis
    • Simple Linear Regression
    • Non Linear Regression
    • Multiple Linear Regression
    • Time series Models
  • Introduction to Quality Management and Statistical Process Control
  • Introduction to Control Charts
  • Control Charts for Variables and Attributes
    • X-bar and R Charts
    • X-bar and S Charts
    • P Charts
    • C Charts
    • CUSUM Chart
  • Process Capability Analysis
  • Case Studies and Real-world Applications

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