https://github.com/dahmansphi/research_from_start_to_end
The Big Bang of Data Science- Research from the Start to The End- [Book One]
https://github.com/dahmansphi/research_from_start_to_end
framework instruments methodology-development product research research-project
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The Big Bang of Data Science- Research from the Start to The End- [Book One]
- Host: GitHub
- URL: https://github.com/dahmansphi/research_from_start_to_end
- Owner: dahmansphi
- License: gpl-3.0
- Created: 2024-02-18T16:52:54.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-08T08:46:08.000Z (about 2 years ago)
- Last Synced: 2025-02-06T17:47:32.155Z (about 1 year ago)
- Topics: framework, instruments, methodology-development, product, research, research-project
- Homepage: https://www.dahmansphi.com/
- Size: 9.25 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
> [!IMPORTANT]
> make sure to check the book [competitive advantages](#book-competitive-advantage) below.
> [!NOTE]
> 1. To view the *project video introduction* please visit [Main Introduction to The Big Bang of Data Science- First Edition](https://youtu.be/0weCBnNO7tk).
> 2. To view the *project documentation* please visit [The Big Bang of Data Science Project](https://github.com/dahmansphi/big_bang_of_data_science_project)
# About the First Book- Research From the Start to the End
> [!IMPORTANT]
> 1. you can have an author introduction on this book on [Welcome, by the author, to the First Book- Research from the Start to The End](https://youtu.be/00cIN-tMPuA)
> 2. You can have a video presentation on this book on [Research from The Start to The End- Chapters Review](https://youtu.be/7y0pIOrLaV8)
> 3. you can have a video screencast on the all the chapters' contents on [Screencasts from Research from the Start to The End Chapters- Book One](https://youtu.be/BYytWg9ZRdM)
## Author's Words
Welcome to **Research From the Start to the End** official documentation, the first book from [The Big Bang of Datat Science](https://github.com/dahmansphi/big_bang_of_data_science_project). I am Dr. Deniz Dahman the creator of the [BireyselValue algorithm](https://github.com/dahmansphi/bireyselvalue_v1/tree/main) and the author of this digital book. In the following section you will have a brief introduction on the main contents of this book.In addition, a reference to available [outlets](#outlets) where you may have access to the entire recorded lessons. Before going ahead, I would like to let you know that I have done this project as an independent scientist without any fund or similar capacity. I am dedicated to proceeding and seek further improvement of the content of this material.To this end if you wish to contribute in any way to this work, please find further details in the contributing section.
## Contributing
If you wish to contribute to the creator of this method and the author, you may want to check possible ways on:
> `To Contribute in any way possible, thank you, you can check` :
1. view options to subscribe on [Dahman's Phi Services Website](https://dahmansphi.com/subscriptions/)
2. subscribe to this channel [Dahman's Phi Services](https://www.youtube.com/@dahmansphi)
3. you can support on [patreon](https://patreon.com/user?u=118924481)
If you prefer *any other way of contribution*, please feel free to contact me directly on [contact](https://dahmansphi.com/contact/).
*Thank you*
# Book ONE- Research From the start to the end
## Book Cover
> [!TIP]
> You can have full access to the material of this book from the [outlet](#outlets) section below. Thank you.
## The Content
This is the first element of **the Big Bang of Data Science**, **`Research from the Start to The End`**.
I don’t want to stick to that _abstract and direct_ definition from the academic book, on the meaning of research, but from the industrial one. So, I believe **RESEARCH** is the _concertmaster_ with the highest leadership position among all the other parts that are responsible for the outcome of a product. Research is an art that identifies the identity and confirms the destiny of the product. Put simply, _if you have a bad research start_, no matter how well and advanced equipped you are, _I guarantee your product will be a failure_. To this end, the first book is carefully crafted to meet all the requirements to build your product on the right foundation of research method. Here is a quick view of the content of the book.
### Research In principle
1. [✓] The Relevance of Research & Data Science to Task Right Accomplishment [TRA]
2. [✓] The Philosophy of Descriptive & Inferential
3. [✓] The Research Conductor & Categories
4. [✓] Conclusion
### Implementation & Approaches to Research
1. [✓] Research Methodology/paradigms, philosophical review
2. [✓] Structure of Research Conduct
3. [✓] Ethical Factor & Research
4. [✓] Conclusion
### Research Topics & Literature Review
1. [✓] What is the research problem?
2. [✓] Conduction the Literature Review
3. [✓] Reviewing & Writing The sources of Literature
4. [✓] Conclusion
### LAB-SECTION –01
1. [✓]The story
2. [✓] The consultancy
3. [✓] Scientific implementation
### Framework & Research Design
1. [✓] Philosophy of theory
2. [✓] Philosophy of framework
3. [✓] Research technical implementation
4. [✓] Conclusion
### Execution of The Research Project
1. [✓] The Philosophy of Measurement
2. [✓] Philosophy of Subject
3. [✓] Research Data
4. [✓] Writing Formal Research
5. [✓] Conclusion
### LAB-Section –02
1. [✓] Induct or deduct the research
2. [✓] What is in the literature review
3. [✓] Framework implementation
4. [✓] Articulate research question & hypothesis
5. [✓] The research design
6. [✓] Building the research instrument
7. [✓] Research implementation
## Who is this book for?
This book is for anyone, regardless of the educational background, with the interest in building, creating and producing a professional product that has a vision of the future. You don’t have to have specific skill in any way, but extreme enthusiasm to learn how to make the right decision. So, it is meant for an audience of: (1) students, under or postgraduate. (2) scholars, (3) researchers, (4) scientists, (5) executives, (6) managers, (7) professionals, (8) or laypersons.
# Book competitive advantage
> [!IMPORTANT]
> 1. In this book you will find **a few outlines** that deliver competitive advantages.
The first three units present an **abstract/academic** presentation of research, then in _chapter four_ you have a **concrete implementation** in the form of **lab-discussion**. Where the lab is a real-life project. So, you are going to implement what you have learnt in theory.
> 2. In **chapter six**, you are going to learn one of **the most important skills** that many are unable to do, and that is **how to build a research instrument**. So, you are going to see the steps on creating your own research instrument _to measure the variables of the research features_. As an outcome, you will no longer have to rely on **copy-paste** surveys and similar tools to collect data for the project.
> 3. The **last chapter** is lab-02, where you are going to see the final implementation of research from an _industrial perspective_. You will see how all the academic information you have learnt by then is going just to be right used on real-life project.
# Outlets
you can have access to the recorded lessons of this book from these outlets:
1. [outlet_1 + Discount](https://dahmansphi.com/research-s2e/).
2. [outlet_2](https://www.udemy.com/course/research-s2e/?referralCode=F3DC239367E77EFA78DF&couponCode=LETSLEARNNOW)
# The digital copy
you can have access to the ppt digital copy in pdf format from [digital ppt book](/assets/Research_S2E_Final.pdf)