Data Collection and Analysis (Virtual)
Course Dates
*Prices do not include value added tax
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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.
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Concept of Statistics & Importance
- Types of data
- Sources of data
- Data collection techniques
- Data collection methods
- Probability sampling
- Non-probability sampling
- Determination of sample size
- Types of questions
- Types of measurement scales
- Testing a validity and reliability of questionnaire
- SPSS menu
- Data coding and entry
- Data tabulation and charting.
- Measures of central tendency
- Measures of dispersion
- Using Excel to apply descriptive statistics
- Using Excel to plot and draw data
- Simple correlation analysis
- Simple linear regression analysis
- Methods of forecasting
- Simple moving average
- Weighted moving average
- Determining the best forecasting method
- Data Analysis
- Data Collection
- Data Interpretation
- Data Simplification
- Decision Making
- Questionnaire Design
- Analytical Thinking
- Resource Forecasting
- Performance Measurement
- Microsoft Excel
- SPSS
- Technical Report Writing
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This training course will be carried out through the use of best practices and the right combination of engaging and purposeful tools such as:
- Practical, relevant case studies
- Workshops and group activities
- Related role plays
- Experiential learning
- Brain storming
- Stimulating mental activities
- Engaging team competitions
- Suitable training Videos
- Presentations
- Self–assessments
- Learning with Simulations and Games
All employees responsible of collecting and analyzing data, including accountants, finance and business professionals, as well as employees working in planning and performance monitoring, quality, and operations departments, and for those who are interested in market research studies and questionnaire design