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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
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Instructor
16392 Course Views
13 Courses
Ahmad Sharifzadeh is a trilingual lecturer, author, translator, consultant, and editor & proofreader.
I have taught different courses at more than 30 universities.
I work as a part-time proofreader and editor for some international academic journals and publishers. In addition, I hold courses for BA and MA students, as well as PhD candidates. I also teach international students online. In addition, I work as a consultant for students who write their thesis, papers, etc. along with those who wish to apply for a scholarship as an MA, PhD, or Postdoc researcher.
I have teaching experience at a dozen universities, lecturing different courses and workshops for post-graduate students, holding online courses for students from different universities, producing audio-visual materials for international students, and author of the books published by Amazon as follows:
1. How to write academic research papers (Volume 1): What should a researcher know and do before writing a research paper?
2. How to Write Academic Research Papers (Volume 2): Drafting, Revising, and Editing and Submitting the Manuscript
3. Academic English Grammar: For Intermediate and Advanced Learners
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