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​Duration: 4 hours ​

Target Audience: Beginners in data science, students, or professionals with basic programming knowledge ​

​Learning Outcomes: ​

By the end of the workshop, participants will be able to: ​

• Understand core Python concepts for data analysis ​
• Manipulate and clean data using Pandas ​
• Perform basic numerical operations with NumPy ​
• Conduct preliminary data exploration and visualisation ​

​Course Outline: ​

• Introduction to Python for Data Science ​
• Introduction to NumPy ​
• Data Manipulation with Pandas ​
• Exploratory Data Analysis (EDA) ​

​Duration: 4 hours ​

Target Audience: Beginners with little to no experience in using SPSS data analysis ​

​Learning Outcomes: ​

By the end of the workshop, participants will be able to: ​

• Confidently navigate and manage data in SPSS ​
• Recode, compute, and transform variables effectively ​
• Conduct basic descriptive and inferential analyses ​
• Interpret and report SPSS results clearly and accurately ​

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Course Outline: ​

• Introduction to SPSS and Its Interface ​
• Entering and Managing Data ​
• Descriptive Statistics Made Easy ​
• Basic Statistical Analysis in SPSS ​
• Reporting and Exporting Results​

​Duration: 4 hours ​

Target Audience: Beginners in data analysis, students, or professionals with no prior experience in R ​

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Learning Outcomes: ​

By the end of the workshop, participants will be able to: ​

• Set up and navigate the R and RStudio environment ​
• Use basic R syntax for data operations and analysis ​
• Import, explore, and manage data using R ​
• Build confidence in continuing self-learning and working
  with R for data analysis​

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Course Outline: ​

• Getting Started with R and RStudio ​
• R Basics ​
• Working with Data in R ​