Online Course – Google Certified Professional Internship in Data Science Psychology

Data Investigation in Psychology: Knowledge of the use of descriptive statistics in psychological research, including structuring datasets in statistical software, constructing basic frequency distributions, understanding central means, variables, correlations, and conditions, and the use of statistical software to investigate these descriptive statistics.

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קורס אונליין - התמחות מקצועית מוסמכת בחקר נתונים בפסיכולוגיה של Google

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Understanding the use of descriptive statistics in psychological research
  • Description of how data systems are structured in statistical software
  • Constructing basic frequency distributions
  • Understanding measures of central tendency, variance, correlation, and slope
  • Using statistical software to investigate descriptive statistics
  • Creating and exploring a data system
  • Understanding Center of Gravity Measures
  • Understanding Variance Measures
  • Understanding correlation and slope measures
  • Formative and summative assessments for assessing knowledge

What you will learn in the course

Courses for which the course is suitable

  • Clinical Psychologist
  • Data Analyst in the Field of Psychology
  • Researcher in the field of psychology
  • Organizational consultant
  • Human Resources Manager
  • Teacher or instructor in the field of psychology
  • Specializes in psychological statistics
  • Mental Health Project Manager
  • Information Systems Analyst in the Field of Psychology

Internship – 4-part course series

This specialization is designed to improve the public’s understanding of psychology, increase its relevance to it, and strengthen the status of the American Psychological Association (APA) as an authoritative voice in the field.

The goal is to introduce the use of descriptive statistics in psychological research, including:

  • Description of how data systems are structured in statistical software
  • Constructing basic frequency distributions
  • Understanding measures of central tendency, variance, correlation, and slope
  • Using statistical software to investigate descriptive statistics

Recommended course order:

  1. How to create and explore a data set
  2. Center of Tendency Indicators
  3. Variable indices
  4. Correlation and slope indices

Hands-on Learning Project

During the course, the user will be exposed to formative assessments to test their knowledge of the concepts presented. At the end of each module, there are summative assessments that are tracked and graded to gauge your overall understanding. Finally, at the end of the course, an overall level assessment of the course will be given.

Details of the courses that make up the specialization

How to create and explore a data file

Course 1 – 3 hours

What you will learn:

  • Describe the components and structure of a data file.
  • Give examples of effective uses of frequency distributions.
  • Learn the usage and operations in jamovi to create and iterate over a data file and create frequency distributions of it.

Skills you will gain:

  • Category: Frequency distribution
  • Category: Jamovi
  • Category: Data File Analysis
  • Category: Statistical Software
  • Category: Graphs

Measures of central tendency

Course 2 – 3 hours

What you will learn:

  • Calculate and interpret the measures of central tendency.
  • Compare measures of central tendency in frequency distributions.
  • Select the appropriate measures of central tendency based on the scale of the variable and the frequency distribution.

Skills you will gain:

  • Category: Central Tendency
  • Category: Frequency distribution
  • Category: Data Analysis
  • Category: Measures of central tendency
  • Category: Statistical graphs

Measures of variation

Course 3 – 3 hours

What you will learn:

  • Explain the nature and basic measures of variation.
  • Calculate and understand variance and standard deviation.
  • Describe the variation in frequency distributions.

Skills you will gain:

  • Category: Standard deviation
  • Category: Data Variance
  • Category: Variance Analysis

Correlation and coincidence measures

Course 4 – 2 hours

What you will learn:

  • Explain the logic of Pearson’s correlation and its appropriate uses.
  • Describe a correlation in terms of direction and strength.
  • Explain the use of contingency tables to describe patterns of relationships between variables.

Skills you will gain:

  • Category: Coincidence table
  • Category: Random Tables
  • Category: Correlation Analysis
  • Category: Data Analysis
  • Category: Social Statistics

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