This plan includes
- Limited free courses access
- Play & Pause Course Videos
- Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Email & Chat Support
What you'll learn?
- Data collection
- Data analysis
- Data presentation
- Data interpretation
Course Overview
Data, types of data, primary vs secondary data, qualitative vs. quantitative data, data collection, analysis, presentation, and interpretation
In fact, the step between the third and fourth steps (i.e., step +1) is dedicated to doing the research itself and collecting the intended data. At this step, by taking into account the information you have gained so far, make sure that the topic you have selected is ok and apply changes if necessary, and look for answers to those research questions. In the next phase (i.e., the drafting phase), you’ll be taught how to write each and every section of your research paper. Using real examples from previously published papers, you’ll be shown how you can write your paper. At this step, your supervisor and advisor will help you step-by-step in order for collecting and analyzing the intended data.
Some other parts will be added to this course and you'll learn how to collect, analyze, present, and interpret data from A to Z. In the rest of the course, you'll learn how to draw different types of figures and charts, based on the types of data you've collected.
This course is specifically useful for researchers and authors of research articles and thesis/dissertations.
Pre-requisites
- My other courses on 'how to write research papers'
Target Audience
- Academicians
- Researchers
- MA and PhD students
- Professors
- BA and BSc students
Curriculum 45 Lectures 03:30:06
-
Section 1 : Data
- Lecture 2 :
- Data: Definition
- Lecture 3 :
- Primary vs. secondary data
- Lecture 4 :
- Quantitative vs. qualitative data
- Lecture 5 :
- Quantitative data
- Lecture 6 :
- Qualitative data
-
Section 2 : Data collection
- Lecture 1 :
- Data collection: Definition
- Lecture 2 :
- Qualitative data collection
- Lecture 3 :
- Quantitative data collection
- Lecture 4 :
- Qualitative vs quantitative data collection
- Lecture 5 :
- Data collection instruments
- Lecture 6 :
- Validity vs. Reliability
-
Section 3 : Data analysis
- Lecture 1 :
- Data analysis: Definition
- Lecture 2 :
- Five types of data analysis
- Lecture 3 :
- 7 Data Analysis Methods and Techniques
- Lecture 4 :
- Two primary methods for data analysis
- Lecture 5 :
- Data analysis tools
-
Section 4 : Data visualization/presentation
- Lecture 1 :
- Data visualization/presentation
- Lecture 2 :
- Data presentation methods (Tabular, Textual, Graphical)
- Lecture 3 :
- Purposes of data visualization
- Lecture 4 :
- 4 + 1 basic presentation types
- Lecture 5 :
- Comparison
- Lecture 6 :
- Composition
- Lecture 7 :
- Distribution
- Lecture 8 :
- Relationship
- Lecture 9 :
- Trend
- Lecture 10 :
- Table, Figure or Text?
-
Section 5 : Tables
- Lecture 1 :
- Tables: Intro
- Lecture 2 :
- Table design
- Lecture 3 :
- Tables: Hints
- Lecture 4 :
- Tables: Checklist
-
Section 6 : Figures
- Lecture 1 :
- Figures: Do's
- Lecture 2 :
- Figures: Trend
- Lecture 3 :
- Figures: Relationship
- Lecture 4 :
- Figures: Distribution
- Lecture 5 :
- Figures: Composition
- Lecture 6 :
- Figures: Comparison
- Lecture 7 :
- Chart chooser
- Lecture 8 :
- Determine which chart to use
- Lecture 9 :
- Figures: Checklist
- Lecture 10 :
- Figure captions
- Lecture 11 :
- Figures, charts, graphs, maps, etc.
-
Section 7 : Charts
- Lecture 1 :
- Column chart
- Lecture 2 :
- Bar chart
- Lecture 3 :
- Pie charts or Donut charts
Our learners work at
Frequently Asked Questions
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How do i access the course after purchase?
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Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
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