Research From The Start To The End

part of the Big Bang of Data Science

What you'll learn

The philosophy of understanding Research using the TRA

Research methodology, paradigms, and philosophical review.

Structure of research conduct & the ethical factor

Fundamental understanding of research problem, literature review, and writing them

Lab_01 implementation: to apply the previous theoretical outlines

Understanding theory from subjective and objective views

Understanding framework from conceptual and perceptual views

Articulating your first research question, ground hypothesis and research design

How to- define the space of variables, measuring & evaluating them

Create your own research instrument using various tools

Comprehensive understanding of research data, its validity and reliability

Lab_02 implementation: to apply ALL the previous theoretical outlines

Requirements

No specific experience needed. ONLY, your motivation to outcome a product that is good, successful, and intelligent

Description

at glance: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.competitive advantages:In this book you will find a few outlines that deliver the 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.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.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.who is this material 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.contents:Research In principle[✓] The Relevance of Research & Data Science to Task Right Accomplishment [TRA][✓] The Philosophy of Descriptive & Inferential[✓] The Research Conductor & Categories[✓] ConclusionImplementation & Approaches to Research[✓] Research Methodology/paradigms, philosophical review[✓] Structure of Research Conduct[✓] Ethical Factor & Research[✓] ConclusionResearch Topics & Literature Review[✓] What is the research problem?[✓] Conduction the Literature Review[✓] Reviewing & Writing The sources of Literature[✓] ConclusionLAB-SECTION –01[✓]The story[✓] The consultancy[✓] Scientific implementationFramework & Research Design[✓] Philosophy of theory[✓] Philosophy of framework[✓] Research technical implementation[✓] ConclusionExecution of The Research Project[✓] The Philosophy of Measurement[✓] Philosophy of Subject[✓] Research Data[✓] Writing Formal Research[✓] ConclusionLAB-Section –02[✓] Induct or deduct the research[✓] What is in the literature review[✓] Framework implementation[✓] Articulate research question & hypothesis[✓] The research design[✓] Building the research instrument[✓] Research implementation

Overview

Section 1: About the Trainer

Lecture 1 Dahman's Phi Services- Initiative

Lecture 2 The Story of- The Big Bang of Data Science Project

Lecture 3 Introduction to- The Big Bang of Data Science- First Edition

Lecture 4 Introduction to- The Big Bang of Data Science- Second Edition

Section 2: Introduction to this course

Lecture 5 Why this course, and its competitive advantages

Lecture 6 The main contents- in form of chapters

Lecture 7 Screencast covers all the recorded lectures

Lecture 8 The PDF lecture slides

Section 3: Chapter One- Introduction

Lecture 9 Relevance of Research & Data- perceived by TRA tool

Lecture 10 Visualization or Research using the TRA tool

Lecture 11 Visualization of Data using the TRA tool

Lecture 12 Intro to the philosophy of descriptive & inferential

Lecture 13 Descriptive Transformation

Lecture 14 Inferential generalization

Lecture 15 Research Conductor

Lecture 16 Research Category

Lecture 17 Conclusion on Chapter one

Section 4: Chapter Two- Implementation & Approaches to Research

Lecture 18 Research Methodology & Paradigm, philosophical review

Lecture 19 Quantitative- positivist Research

Lecture 20 Qualitative- Interpretivist Research

Lecture 21 Qualitative X Quantitative

Lecture 22 Intro to Research Conduct

Lecture 23 Inductive Vs Deductive

Lecture 24 Subject Reaction

Lecture 25 Code of Conduct [COC]

Lecture 26 COC- Guidelines

Lecture 27 Conclusion on Chapter Two

Section 5: Chapter Three- Research Topic & Literature Review

Lecture 28 Intro to Research Problem

Lecture 29 Research problem Identification

Lecture 30 Research Focus

Lecture 31 Intro to Literature Review

Lecture 32 Why literature review?

Lecture 33 Forming the Literature

Lecture 34 Reviewing the Literature

Lecture 35 Writing the Literature

Lecture 36 Conclusion on Chapter Three

Section 6: Chapter Four- Lab- Section_01

Lecture 37 Preface to the Lab

Lecture 38 Intro to the LAB

Lecture 39 The assignment, The Academic Evaluation, and Graphing of the Problem

Lecture 40 LAB- Implementation Steps

Section 7: Chapter Five- Framework and Research Design

Lecture 41 Intro to Philosophy of Theory

Lecture 42 Illustration of Theory

Lecture 43 Expression of Variables

Lecture 44 Intro to Framework & Research Design

Lecture 45 Conceptual Framework

Lecture 46 Theoretical Framework

Lecture 47 IMPORTANT- Articulating your first Research Question

Lecture 48 IMPORTANT- Ground on Hypothesis

Lecture 49 IMPORTANT- Design of your Research

Lecture 50 Conclusion on Chapter Five

Section 8: Chapter Six- Execution of the Research project

Lecture 51 IMPORTANT- Intro to philosophy of measurement

Lecture 52 IMPORTANT- Presentation of Measurement

Lecture 53 IMPORTANT- Design your first Research Instrument-PART ONE

Lecture 54 IMPORTANT- Design your first Research Instrument-PART TWO

Lecture 55 IMPORTANT- Design your first Research Instrument-PART THREE

Lecture 56 IMPORTANT- Design your first Research Instrument-PART FOUR

Lecture 57 Intro to Philosophy of Subject

Lecture 58 Sampling

Lecture 59 Sampling Techniques

Lecture 60 Data Source

Lecture 61 Data Validity & Reliability

Lecture 62 Data Management

Lecture 63 Formal Writing- academic & professional

Lecture 64 Conclusion on Chapter Six

Section 9: Chapter Seven- LAB- Seciont_02

Lecture 65 Quick review on the project and research problem

Lecture 66 Induct or Deduct the Research?

Lecture 67 Outlines for the Literature Review

Lecture 68 The Framework Implementation

Lecture 69 Articulating the Research Question

Lecture 70 The Research Design

Lecture 71 Building The Research Instruments

Lecture 72 Research Implementation- Part One

Lecture 73 Research Implementation- Part Two

Lecture 74 Research Implementation- Part Three- and Final Words

Lecture 75 References

Section 10: What is Next?

Lecture 76 It's not goodbye, but see you soon!

Lecture 77 Next Step- You must learn about

students- post/undergraduate; scholars, scientists, executives, managers, professionals, and layperson