AI-Driven Research & Data Analysis with R

Name: AI-Driven Research & Data Analysis with R
Price: 5000.00 BDT
Availability: InStock

Go from a research idea to a published-quality paper in 28 live classes

Enroll in batch৳5,000৳6,000

Orientation class

Tuesday, October 13

Main class starts

Sunday, October 18

Live class

(Sunday, Tuesday)

৳5,000৳6,000Batch 1

Enroll in batch

Batch starts in ---d :--h :--m :--s

In this course you get:

8 modules
28 live classes with instructors
42h+ of content
8 self-paced recorded resources
4 hands-on projects
Certificate of completion
Lifetime access to future updates

About this course

AI-Driven Research & Data Analysis with R is a comprehensive online course for social science, medical, public health and health science researchers who want to conduct publishable research.

Part 1 covers research design, literature synthesis, methodology and publication. Part 2 covers R from installation through regression, CFA, SEM and ARIMA forecasting.

28 live classes across 5 modules, 1.5-2 hours each, with 3 research projects plus 1 end-to-end final project. You leave with R scripts, datasets, templates and a manuscript ready for publication.

What you'll learn

* Write an ethically sound research protocol with objectives, variables and a conceptual framework * Search, screen, verify and synthesise literature with AI * Choose the correct study design, sampling strategy and sample size * Analyse qualitative data through thematic and content analysis * Clean, transform and analyse quantitative data in R with publication-ready tables and figures * Run and report t-tests, chi-square, ANOVA, correlation, linear and logistic regression * Validate a scale and test a theoretical model with CFA and SEM in lavaan * Build and evaluate an ARIMA forecast for a journal

Prerequisites

Comfortable using a computer and a research interest. No programming or statistics background required.

Tools & Technologies

RRStudiodplyrggplot2lavaanforecastNotebookLMZoteroMendeleyKoboToolboxAI

Curriculum

8 modules

Laid out the way the project on disk is laid out — modules are folders, lessons are files.

Who this course is for

* Masters, MPhil and PhD students who need to produce a thesis with defensible analysis * Medical, public health and health science professionals conducting clinical or community research * Social science researchers, faculty members and lecturers who need to publish * NGO, development and policy researchers working with survey and programme data * Anyone currently paying someone else to run their analysis and wanting to own it themselves

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