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DEMO CLASS: [ক্লিক করে দেখে নিন কোর্সের ডেমো ক্লাসগুলো]
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Demo Class 1: Setting Validation Rules in Kobo
03:37
Demo Class 2: How to set Ranking Questions in KoboToolbox
03:10
Module 1: Introduction to Data Collection
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Lecture 1: What Will You Learn in this Course
03:42
Lecture 2: What is Data?
02:38
Lecture 3: Understand Major Data Types
04:08
Lecture 4: Qualitative Data Collection Method
04:20
Lecture 5: Quantitative Data Collection Method
01:57
Lecture 6 Basics of questionnaire design
04:37
Lecture 7 Types of questionnaire questions
07:14
Lecture 8 Characteristics of a good questionnaire
07:48
Lecture 9 How to make a good questionnaire
06:49
Lecture 10 Anatomy of a strong survey questionnaire
03:30
Lecture 11 Common mistakes to avoid
06:24
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Module 2: KoboToolbox Setup and Basic Form Design
0/6
Lecture 1 KoboToolbox Overview
11:45
Lecture 2 Registering in Kobo Toolbox (Part 1)
01:50
Lecture 3 Registering in Kobo Toolbox (Part 2)
03:32
Lecture 4: Introduction to Kobo Interface
02:15
Lecture 5 Form Styles in Kobo
04:35
Lecture 6 Creating Core Questions in Kobo
11:03
Module 3: Advance Form Design & Question Types
0/6
Lecture 1: Working with Date, Time & Ranking
10:05
Lecture 2: Capturing GPS Location Data
04:43
Lecture 3: Media & Advanced Inputs (Photo, Audio, Video, Barcode, Path)
05:26
Lecture 4: Rating Scale Questions
03:09
Lecture 5: Question Matrix
07:29
Lecture 6: Ranking Questions Setup
02:05
Module 4: Smart Form Design (Logic, Validation & Calculations)
0/4
Lecture 1: Performing Calculations in KoboToolbox
06:34
Lecture 2: Working with Range, Hidden Fields & File Data
05:29
Lecture 3: Skip Logic (Conditional Questions)
06:57
Lecture 4: Setting Validation Rules
03:38
Module 5: Deploying Forms & Managing Data in KoboToolbox
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Lecture 1: Deploying a Form in KoboToolbox
04:52
Lecture 2: Redeploying & Updating Forms
02:51
Lecture 3: Data Collection & Submission Process
05:29
Lecture 4: Survey Data Collection Using Kobo Collect Mobile App
07:41
Lecture 5: MetaData
05:20
Module 6: Data Management & Cleaning in Kobo Toolbox
0/3
Lecture 1: Data Management – Table View
06:33
Lecture 2: Data Management – Reports, Gallery, Downloads & Map Features
04:43
Lecture 3: Editing Submissions & Common Challenges
09:30
Module 7: Analyzing Data with KoboToolbox & Excel
0/8
Lecture 1: Quantitative Data Analysis in KoboToolbox
06:47
Lecture 2: Basic Statistical Analysis
06:33
Lecture 3: Pearson Correlation Analysis Part 1
02:05
Lecture 4: Pearson Correlation Analysis Part 2
03:14
Lecture 5: Regression Analysis Part 1
02:35
Lecture 6: Regression Analysis Part 2
03:02
Lecture 7: Multiple Regression Analysis Part 1
02:28
Lecture 8: Multiple Regression Analysis Part 2
03:34
Bonus Module: Application of AI in KoboToolbox
0/4
Application of AI 1.1
03:43
Application of AI 1.2
03:08
Application of AI 1.3
02:03
Application of AI 1.4
01:21
Capstone Projects
0/5
Project 1
Project 2
Project 3
Project 4
Project 5
Practice Files & Sample Questionnaire
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Download Resources
KoboToolbox Mastery: Complete Data Collection & Survey Analysis
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