AI-Enhanced Research Methodology for Non-Majors

Are you struggling with inefficiencies caused by fragmented AI tools and manual tasks? Drawing on the expertise I’ve gained through hands-on experience, I’ll build integrated automation workflows to maximize your productivity.

4 learners are taking this course

Level Beginner

Course period Unlimited

data-analysis
data-analysis
browser-automation
browser-automation
agents
agents
prompt engineering
prompt engineering
book-challenge
book-challenge
data-analysis
data-analysis
browser-automation
browser-automation
agents
agents
prompt engineering
prompt engineering
book-challenge
book-challenge

What you will gain after the course

  • Maximize the Depth and Efficiency of AI Utilization with Advanced Prompt Engineering

  • Build repetitive work workflows with no-code data analysis and browser automation

  • Build and optimize my own automation system by integrating fragmented AI tools

Can you turn artificial intelligence tools into a research assistant?

Research speed isn’t determined by how many tools you use.
You need to refine your questions with prompts and connect everything—from literature searches to data cleaning and visualization, web crawling, and text analysis—into a single research workflow.

Instead of changing your search terms every time you look for a paper, converse with AI to clarify the direction of your literature research.

Even without knowing how to code, read and clean data files, then proceed with visualization and interpretation of the results to organize the insights needed for your research.

Configure repetitive web data collection and text analysis to fit your research workflow using natural-language coding and basic automation.

Even if your research tools are scattered, that’s okay.
You can connect everything yourself—from prompts to data analysis, automation, and presentation material creation—and build your own research assistant.

Learn everything from AI prompting and paper searches
to no-code data analysis and visualization,
as well as natural-language coding, web scraping, and text analysis.

Break free from scattered tools and repetitive tasks,
build an automated research assistant that runs your research independently,
and grow into a professional who can take your work all the way through to the presentation.

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

You can connect scattered resources into a research workflow.

  • You will design prompts for conversing with AI according to your objectives and build your own research process, from searching for papers to organizing the literature. Instead of having to come up with new search terms every time, you will develop the habit of finding materials suited to your research questions and comparing and organizing their key contents.

  • data-analysis, browser-automation, agents, prompt engineering, book challenge


✔️

Connect fragmented AI tools and repetitive tasks into a unified research workflow.

From designing questions to interpreting research findings
a research workflow powered by artificial intelligence

Refine the exchange between AI and research questions through prompt design, and proceed step by step from paper searches and literature reviews to reading, cleaning, and visualizing data, and interpreting results. Use no-code analysis and natural-language coding to reduce the burden of coding and structure repetitive tasks that can easily become bottlenecks in the research process.

Connect paper exploration and data analysis to real-world research projects

Practice the workflow of searching for papers, organizing the literature, cleaning and visualizing data, and interpreting insights. Automate data collection and analysis through web crawling and text analysis, and combine AI tools to create presentation materials and visual content.

Organize prompts and automation outputs as research assets

Organize the prompts written in the course, the data analysis process, and the results of web crawling and text analysis so they can be reused in line with the research workflow. Finally, learn how to use the latest artificial intelligence tools like research assistants and develop scattered tools into your own research automation system.

📚

Design the entire process as one continuous workflow, from searching for research materials to analysis, automation, and presentation.

Generating Answers with AI and Verifying the Results

Section 1

Research Fundamentals and Literature Search in the Age of Artificial Intelligence

Learn how to integrate artificial intelligence into research methodology and communicate with AI in ways aligned with research objectives through effective prompt design. Systematically collect and review research materials using AI-based paper searches and literature review procedures.

Section 2

No-Code Data Analysis and Visualization

Learn how to import and clean data without coding, and create visualizations suited to your analytical objectives. With the help of artificial intelligence, learn the process of deriving insights from data and interpreting and validating analytical results.


Section 3

Research Automation and Natural Language Coding

Review research projects and learn the basics of implementing analytical tasks in natural language, even without extensive development knowledge. Learn how to automate repetitive research tasks and improve research productivity using web crawling and text analysis.

Section 4

Presenting Research Findings and Using the Latest AI

Learn how to combine artificial intelligence tools to effectively organize research findings into presentation materials and visual content. Explore the latest trends in artificial intelligence and learn how to design an AI research assistant tailored to your individual research.


This can help solve the concerns of people like this!

📌

Graduate students and beginner researchers

Those who have chosen a research topic but are unfamiliar with designing search keywords and organizing literature
and cannot focus on analysis and writing because they have to check search results one by one and manually categorize research materials

📌

Non-Major Research Practitioners

Those who have survey or work-related data but lack coding experience,
and have to switch between different tools every time to write reports—from data cleaning and visualization to interpreting results

📌

Intermediate practitioners preparing to automate with AI

If you have used generative AI to summarize materials or create documents but
struggle to connect web research, text analysis, and presentation material creation into a single research workflow, causing repetitive tasks to pile up

Notes before taking the course

Practice Environment

  • Practice is conducted on Windows, Mac, and Linux.
    The latest web browser and an internet connection are required.

  • We use AI tools and no-code analysis tools.
    At least 8GB of memory is recommended.

Prerequisites and Important Notes

  • This course is suitable for those who have used AI tools.
    Basic file management experience is required.

  • No prior programming knowledge is required.
    You will prepare the data interpretation and research topic yourself.

Learning materials

  • Lecture slide PDFs are provided.
    You will use materials for searching academic papers and conducting literature reviews.

  • We provide hands-on data analysis materials.
    We also cover web scraping and text analysis examples.


Recommended for
these people

Who is this course right for?

  • Intermediate practitioners and researchers with experience using AI tools

  • Learners seeking a productivity revolution through the integrated automation of fragmented AI tools

  • Those aiming to build a truly integrated automation system beyond mere efficiency.

Need to know before starting?

  • Basic computer skills and experience with Internet searches

  • A basic understanding of research or data analysis

  • Willingness to use AI tools and a proactive attitude toward learning

Hello
This is may9noy

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Hello. 😄

Sometimes I get exhausted from burnout due to childcare and work, 😅

I am an IT worker living each day with gratitude and a joyful heart. 😅


Personal Blog : https://may9noy.tistory.com

GitHub : https://github.com/Nanninggu


I wish you a life and home always filled with good things. 😀

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