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’
01:35:48
Premium Resources
0/7
All Lecture Sheet Drive Link
Discipline Base WhatsApp Group
Books and Other Gift Resources (Drive Link)
Assignment Submission Guideline
Statistics Related Materials and Software
Bonus Session on PhD Application
01:44:39
Extra Course for Some Subject (Whatsapp Group and Class Video)
Week-02
0/3
Class-05: Plagiarism and paraphrasing using tools
01:39:17
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
34:07
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))
01:21:32
Lecture 18 Data Collection Tools and technique (Quantitative and Qualitative)
01:08:59
Class-19.1: Data collection using Google Forms
44:57
Class-19.2: Data collection using KoBo Toolbox Software
34:54
Week-06
0/3
Class-20: Qualitative Data analysis (Coding Theme Sub-theme)
01:11:52
Class-21.1: Qualitative Data analysis 2 (Sentiment Analysis and Basic of Nvivo)
Class-21.2: Qualitative Data analysis using Nvivo
01:27:34
Week-07
0/3
Class-22:Introduction to SPSS: Dataset Creation & Basic Statistical Concepts
56:36
Lecture 23 Descriptive Statistics (Distribution, Central tendency, Variability)
01:47:16
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
01:39:27
Class-31: Abstract and Conclusion Writing: Final Steps and Holistic Review
35:07
Bonus Session 1,2 Microsoft Excel Practical Session
02:38:32
Bonus Session 3 Powerpoint Session
02:10:16
How to Download Certificate
02:24
Final Quiz
01:00:00
Research Course: Beginning to Advance (30th Batch)
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