Free
AI-Powered Research with Google Gemini
From Research Questions to Data Analysis, Statistics and Insights
👨🏫 Porhim Teacher
📚 14 lessons
👥 1 enrolled
General Studies Educator, Porhim School
About this course
Learn how to use Google Gemini as an AI-powered research assistant to accelerate the complete research workflow — from finding and evaluating evidence to analysing datasets, performing statistical tests, generating visualisations, interpreting results, and communicating research findings.
This hands-on course focuses on **how researchers can ask better questions, work with data, verify AI-generated answers, and use Gemini responsibly without compromising research quality or academic integrity.**
No advanced programming knowledge is required. Basic familiarity with research methods and statistics is helpful but not essential. **Completely free.**
Curriculum
Gemini as Your Research Assistant · 2 lessons
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VIDEO
Do research faster with Gemini Deep Research
12 min
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READING
Asking research questions effectively
12 min
Research & Literature Discovery · 1 lessons
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READING
Finding evidence with Deep Research
15 min
Reading & Understanding Research Papers · 1 lessons
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READING
Interrogating papers with Gemini
12 min
Working with Research Data · 2 lessons
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VIDEO
Gemini and ChatGPT for CSV data analysis
18 min
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READING
Understanding a dataset before analysing it
12 min
Statistics with Gemini · 1 lessons
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READING
Choosing the right statistical test
15 min
Data Analysis with AI + Python · 1 lessons
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READING
AI-generated analysis code
15 min
From Numbers to Research Insights · 1 lessons
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READING
What does the result actually mean?
12 min
Qualitative & Text Analysis · 1 lessons
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READING
Thematic analysis of text data
12 min
Visualisation & Research Communication · 2 lessons
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VIDEO
Analysing data in Google Sheets with Gemini
10 min
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READING
Charts that communicate, not decorate
12 min
Research Verification & AI Safety · 1 lessons
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READING
Can you trust Gemini's answer?
12 min
The Complete AI-Assisted Research Workflow · 1 lessons
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READING
End-to-end: question → findings
10 min