Course Content
Week-01
0/4
Class-01: Article Search and Selection Strategy
01:31:48
Class-02: Identifying Predatory Journals and Article Access Techniques
01:48:34
Class-03: Referencing Discussion (Citation, Bibliography, Referencing style)
01:46:16
Class-04: Referencing Software ‘Zotero’
01:35:47
Premium Resources
0/6
All Lecture Sheet Drive Link
Discipline Base WhatsApp Group
Books and Other Gift Resources (Drive Link)
Assignment Submission Guideline
Statistics Related Materials and Software
Extra Course for Some Subject (Whatsapp Group and Class Video)
Week-02
0/3
Class-05: Plagiarism and paraphrasing using tools
01:39:18
Class-06: Research Gap, Topic Selection, Making Research Title
01:35:40
Class-07: Introduction (Background and problem statement, Rational, Objective, Research Question)
01:47:26
Week-03
0/3
Class-08,09: Literature Review and Theoretical Framework
02:23:59
Class-10: AI tools (ChatGPT, Typeset) in Research; Pros and Cons
01:41:50
Class-11: Research Proposal Making
01:49:24
Week-04
0/4
Lecture 12 Article type discussion and how to write (Editorial,Author letter,Correspondence)
01:28:07
Lecture 13.1 Systematic Review Basic Discussion
55:37
Lecture 13.2 Article Search Strategy For Systematic Review
34:08
Lecture 14 Systematic Review Analysis and Report writing
01:08:35
Week-05
0/6
Class-15: Methodology Discussion (Research Design)
01:25:11
L-16 Sample Size and Sampling techniques (Qualitative )
01:01:08
Class-17: Population, Sampling, Sample Size Estimation, and Sample technique (Quantitative))
01:21:33
Lecture 18 Data Collection Tools and technique (Quantitative and Qualitative)
01:08:59
Class-19.1: Data collection using Google Forms
44:56
Class-19.2: Data collection using KoBo Toolbox Software
34:54
Week-06
0/2
Class-20: Qualitative Data analysis (Coding Theme Sub-theme)
01:11:51
Class-21: Qualitative analysis with Nvivo12
01:42:39
Week-07
0/3
Class-22:Introduction to SPSS: Dataset Creation & Basic Statistical Concepts
56:36
Lecture 23 Descriptive Statistics (Distribution, Central tendency, Variability)
01:47:15
Class 24 Selecting Appropriate Statistical Tests for Data Analysis (copy)
01:09:28
Week-08
0/2
Class-25 Advanced Hypothesis Testing: T-Test, ANOVA, Kruskal–Wallis, Chi-Square, Pearson Correlation
02:15:56
Class- 26: Regression Analysis: Simple and Multiple Linear Regression Techniques
01:57:17
Week-09
0/3
Class-27: Manuscript Writing: Crafting Results
01:10:40
Class-28: Manuscript Writing: Discussion Sections
01:18:29
Class-29: Article Submission and publication
01:28:42
Week-10
0/6
Class-30: Thesis Formatting
01:39:28
Class-31: Abstract and Conclusion Writing: Final Steps and Holistic Review
35:06
Bonus Session 1,2 Microsoft Excel Practical Session
02:38:31
Bonus Session 3 Powerpoint Session
02:10:16
How to Download Certificate
02:24
Final Quiz
01:00:00
Research Course: Beginning to Advance (29th Batch)
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