AI for Research & Analysis

AI for Research & Analysis

Instructor: AI CERTs Team

Access provided by La Dreamer & Daisy Helping Hands Foundation Inc

1,509 already enrolled

9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Understand AI Applications in Research: Explore how AI supports information evaluation, research activities, and business insight generation.
Evaluate AI Research Tools and Techniques: Assess AI tools that strengthen trend analysis, reporting quality, and analytical performance.
Improve Research Planning and Reporting Processes: Apply AI-supported approaches to enhance research methodology and reporting workflows.
Implement Intelligent Research Workflows: Identify AI opportunities that improve analytical efficiency and decision-making outcomes.

Skills you'll gain

Details to know

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Assessments

8 assignments

Taught in English

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There are 9 modules in this course

Artificial intelligence is transforming how organizations conduct research, evaluate information, and generate business insights. Businesses, academic institutions, and research teams are increasingly adopting AI-powered technologies to accelerate market evaluation, strengthen research accuracy, and support faster strategic decisions.

This AI for Research & Analysis course is designed for researchers, analysts, consultants, and professionals seeking a practical understanding of AI in modern research environments. Learners will explore how AI technologies support information evaluation, data interpretation, and research activities without requiring advanced technical expertise. The course focuses on practical AI applications across market research, business intelligence, academic studies, and research methodology. You’ll examine how organizations use AI research tools to improve data interpretation, identify trends, enhance reporting quality, and support faster decision-making. Through real-world scenarios, learners will explore how AI supports research planning, analytical reporting, predictive insights, and trend evaluation. You’ll also learn how professionals assess AI opportunities, strengthen research accuracy, and support responsible AI use across research environments. In addition, the course introduces foundational concepts around AI governance, ethical research practices, and implementation approaches within modern research operations. Whether you work in market research, business analysis, consulting, academia, or data-focused roles, this course provides practical insights into how AI supports intelligent business analysis and modern research environments. By the end of the course, you’ll be able to identify AI opportunities in research environments, evaluate analytical impact, and apply AI-supported approaches to improve research quality and business decision-making. Enroll in this AI researcher course to build practical AI research skills and support data-informed analysis with greater confidence.

This module introduces the fundamentals of Artificial Intelligence and its applications in research environments. Learners explore key AI concepts, technologies, and how AI supports research processes. The module builds a foundation for understanding the role of AI in modern research practices.

What's included

9 videos1 assignment1 plugin

9 videosTotal 25 minutes

Course Introduction3 minutes
1.1 Definition and Scope of AI3 minutes
1.2 Basics of Machine Learning (ML)3 minutes
1.3 Introduction to Deep Learning2 minutes
1.4 Exploration of ChatGPT3 minutes
1.5 Other AI Tools and Technologies3 minutes
1.6 Transforming Research Methodologies2 minutes
1.7 AI in Data Collection and Analysis2 minutes
1.8 Ethical and Practical Considerations3 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

1 pluginTotal 5 minutes

Activity: Timeline5 minutes

This module explores how AI transforms market research through data analysis, consumer insights, and predictive techniques. Learners understand how AI tools support customer behavior analysis, trend identification, and decision-making. The module highlights practical applications of AI in improving market research outcomes.

What's included

6 videos1 assignment1 plugin

This module explains how AI accelerates scientific discovery through advanced data processing and intelligent analysis. Learners explore AI applications in hypothesis generation, simulations, and research experimentation. The module demonstrates how AI can support innovation across scientific domains.

What's included

6 videos1 assignment1 plugin

This module covers the use of AI in academic research activities such as literature reviews, knowledge discovery, and scholarly writing. Learners explore AI tools that assist researchers in organizing information and improving research efficiency. The module helps researchers integrate AI into academic workflows effectively.

What's included

7 videos1 assignment1 plugin

7 videosTotal 23 minutes

4.1 Overview of AI in Academia6 minutes
4.2 AI Tools for Academic Research3 minutes
4.3 Ethical Implications3 minutes
4.4 Guidelines for Ethical AI Use2 minutes
4.5 Literature Review and Data Management3 minutes
4.6 Writing and Editing Assistance3 minutes
4.7 Case Studies: Presentation of real-world examples where AI has been successfully integrated into academic research projects, highlighting the process, outcomes, and lessons learned3 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

1 pluginTotal 5 minutes

Activity: Hotspot5 minutes

This module introduces various AI tools that enhance research productivity and collaboration. Learners explore applications such as data analysis, visualization, automation, and research assistance. The module enables researchers to select and apply suitable AI tools for their needs.

What's included

5 videos1 assignment1 plugin

This module explains how AI supports research planning, methodology selection, and data-driven approaches. Learners explore AI-assisted techniques for improving research design, analysis, and interpretation. The module helps researchers develop more efficient and structured research processes.

What's included

6 videos1 assignment1 plugin

6 videosTotal 16 minutes

6.1 Integrating AI into Research Planning3 minutes
6.2 Designing AI-Powered Experiments3 minutes
6.3 Automating Surveys with AI4 minutes
6.4 Case Studies2 minutes
6.5 Boosting Research Efficiency with AI2 minutes
6.6 AI for Enhanced Decision-Making2 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

1 pluginTotal 5 minutes

Activity: Sequence5 minutes

This module focuses on ethical considerations and responsible practices when applying AI in research. Learners explore topics such as data privacy, bias, transparency, and research integrity. The module promotes trustworthy and responsible adoption of AI technologies in research.

What's included

6 videos1 assignment1 plugin

This module explores emerging AI trends and their potential impact on the future of research. Learners examine advancements in AI capabilities, automation, and intelligent research systems. The module prepares researchers to adapt to evolving AI-driven research environments.