Research Course: Beginning to Advance (27th Batch)
0% Completed
Week-01
Class-01: Article Search and Selection Strategy
Video - 1:31:48 mins
Class-02: Identifying Predatory Journals and Article Access Techniques
Video - 1:48:34 mins
Class-03: Referencing Discussion (Citation, Bibliography, Referencing style)
Video - 1:46:16 mins
Class-04: Referencing Software ‘Zotero’
Video - 1:35:47 mins
Premium Resources
All Lecture Sheet Drive Link
Reading
Discipline Base WhatsApp Group
Reading
Books and Other Gift Resources (Drive Link)
Reading
Assignment Submission Guideline
Reading
Statistics Related Materials and Software
Reading
Higher Study in Abroad (Application Materials, Procedure, Submission)
Reading
৩২তম ব্যাচে যুক্ত হওয়া সিস্টেমেটিক রিভিউ এর ৩টি নতুন ক্লাস
Reading
Week-02
Week-03
Week-04
Lecture 12 Article type discussion and how to write (Editorial,Author letter,Correspondence)
Video - 1:28:08 mins
Lecture 13.1 Systematic Review Basic Discussion
Video - 00:55:37 mins
Lecture 13.2 Article Search Strategy For Systematic Review
Video - 00:34:07 mins
Lecture 14 Systematic Review Analysis and Report writing
Video - 1:08:35 mins
Week-05
Class-15: Methodology Discussion (Research Design)
Video - 1:25:11 mins
L-16 Sample Size and Sampling techniques (Qualitative )
Video - 1:01:08 mins
Class-17: Population, Sampling, Sample Size Estimation, and Sample technique (Quantitative))
Video - 1:21:32 mins
Lecture 18 Data Collection Tools and technique (Quantitative and Qualitative)
Video - 1:08:59 mins
Class-19.1: Data collection using Google Forms
Video - 00:44:56 mins
Class-19.2: Data collection using KoBo Toolbox Software
Video - 00:34:54 mins
Week-06
Week-07
Week-08
Week-09
Week-10
Class-30: Thesis Formatting
Video - 1:39:27 mins
Class-31: Abstract and Conclusion Writing: Final Steps and Holistic Review
Video - 00:35:06 mins
Bonus Session 1,2 Microsoft Excel Practical Session
Video - 2:38:31 mins
Bonus Session 3 Powerpoint Session
Reading
How to Download Certificate
Video - 00:2:24 mins
Final Quiz
Quiz
Additional Lectures on R Software
Session 1 Lecture 1 Fundamentals of R (Getting started with R and RStudio Variables, Data Types, Operators)
Video - 2:18:38 mins
Session 2 Lecture 2,3 (Conditional Logic, Loops, Vectors, Factors, Matrix, Data Frame and Lists,Subset Variables/Columns, Subset Observations/Rows, Make New Variables, Grouping Data, Sorting Data)
Video - 1:58:46 mins
Session 3 Lecture 4 Data Wrangling with R (Subset Variables/Columns, Subset Observations/Rows, Make New Variables, Grouping Data, Summarizing Data, Sorting Data,Cleaning Data, Reshaping Data - Change the layout of a data set, Merging Data)
Video - 2:15:15 mins
Session 4 Lecture 5,6 Publication-ready Tables with R (Introduction to gtsummary, Descriptive Tables, Association Tables, Correlation,Linear, Binary Logistic, Ordinal Logistic, Poisson Regression Tables, Survival Analysis Tables))
Video - 2:10:29 mins
Session 5 Lecture 7 Publication-ready Data Visualization with R (Plot One/Two Variables, Continuous and Discrete, Plot Paired Data, Comparing Means and Adding p-values)
Video - 1:52:19 mins
Session 6 Lecture 8 Reproducible Research with R
Video - 2:11:58 mins
‘Lecture 1 Sheet Article search and selection strategy
https://drive.google.com/drive/folders/1FImOg8AT3uZV5b2-LdrVOrTDh0Y8U60l?usp=sharing
Finish Course Early?
You have not completed all required lessons and assessments.
Your Progress
0%