By the end of this course, you will be able to:

• Outline the steps to obtain and register the WPS software
• Describe the process to import various types of text files
• Recognize the difference between the data step and the proc step
• Explain the process to create and organize data in SAS
• Define various functions used in SAS
• Indicate different techniques to visually represent data
• Discuss various methods of performing statistical analysis on available data
• Estimate the relationship between independent and dependent variables of a set of data

By the end of this course, you will be able to:

• Discuss the theory of psychosocial development
• State the fuzzy-trace theory
• Explain how the prefrontal cortex influences the behaviour of adolescents
• Describe how positive and negative reinforcement can be used to modify the behaviour of a child
• Summarize how to apply reinforcements in changing the behaviour of a child
• Explain the four types of parenting styles
• Recall how environmental factors can activate a gene variant
• Distinguish between heritability and inheritance

By the end of this course, you will be able to:

• Explain how to navigate a table and edit records
• Summarize how to create tables
• Define reports and queries
• Explain how reports, controls and queries are created and used
• Define what forms are and explain how to create them
• Discuss how coding and spreadsheet experts can better understand Microsoft Access
• Describe how the importing of Excel into Microsoft Access is done
• Outline the rules of normalized tables
• Categorize relationships in Microsoft Access
• Analyze Control Structures
• Discuss the process of creation and use of macros

Having completed this course successfully, you will be able to:

• Define data science
• Identify the three primary analyses in data mining that focus on extracting patterns
• Differentiate between machine learning and deep learning
• Describe the main factors to consider when choosing a programming language to learn
• Explain each step of data science methodology briefly
• Indicate the role of entities and intents in chatbot development
• Outline the purpose and usage of GitHub for online collaboration

Having completed this course, you should be able to:

• Identify the basic data types in Python
• Use the arithmetic, logic, assignment and comparison operators
• Discuss the 'for loop' and 'while loop' structures
• Create and apply functions to perform basic arithmetic operations
• Summarise the nested data and iteration concept in Python
• Create a NumPy array
• Describe NumPy indexing and slicing
• Select data from a data set using both the index-based and label-based methods in Pandas

By the end of the course, you will be able to:

• Discuss the different forms of a linear equation
• Arrange a system of linear equations into augmented matrix form
• Solve a system of linear equations using REF or R-REF
• Define the idea of a vector space and name the two vector spaces introduced during the course
• Explain how linear independence and span are related
• Compute a least-squares solution via pseudoinverse
• Recall the three elements of a probability model
• Distinguish between a PMF and PDF
• Compare covariance and variance
• Contrast the law of large numbers and the central limit theorem
• Describe the steps involved in computing a joint PDF
• Indicate how to find the mean squared error using the Bayesian estimator

By the end of this course, you will be able to:

• Identify the different models of emotional intelligence (EI)
• Recognize the ways EI affects job performance overall
• Discuss the influence of work-life balance on job performance
• Classify the types of emotional behaviours and trace their impact on job performance
• Describe the role of EI in leadership
• Define the concept of ‘authentic leadership’
• Explain how to improve emotional expression and regulation
• Define the roles of empathy and priming in creating a healthy workplace culture