Training course information
Course outline
Training schedule

At the end of this course, the participants should be able to:

  • Understand the concept, fundamentals, and terminologies of statistics.
  • Realize the difference between data and information.
  • Collect necessary data using different tools and methods
  • Prepare and structure a questionnaire that fulfills the customers’ requirements.
  • Simplify and summarize data using descriptive statistics
  • Analyze data using formulas and data analysis function in Excel
  • Define variables in SPSS and enter create data base
  • Plot data on different types of charts using Excel.

Concept of Statistics & Importance

  • Types of data
  • Sources of data
  • Data collection techniques
  • Data collection methods

Sampling Techniques

  • Probability sampling
  • Non-probability sampling
  • Determination of sample size

Questionnaire Design

  • Types of questions
  • Types of measurement scales
  • Testing a validity and reliability of questionnaire

Introduction to( SPSS )

  • SPSS menu
  • Data coding and entry
  • Data tabulation and charting.

Descriptive Statistics

  • Measures of central tendency
  • Measures of dispersion
  • Using Excel to apply descriptive statistics
  • Using Excel to plot and draw data

Regression and Correlation

  • Simple correlation analysis
  • Simple linear regression analysis

Forecasting

  • Methods of forecasting
  • Simple moving average
  • Weighted moving average
  • Determining the best forecasting method

Training Courses Schedule for 2026 is now available

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Download the full schedule now to view upcoming course dates and outstanding training opportunities.

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2025 Training Schedule

Training course language: English

Training course venue: Dammam

Training course end date: 1 May، 2025

Training course start date: 27 April، 2025

Training course language: Arabic

Training course venue: Riyadh

Training course end date: 17 July، 2025

Training course start date: 13 July، 2025

Training course fee : SAR 7800

Data Collection, Analysis and Reporting Techniques

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