Welcome to Analysis From the Start to the End official documentation, the second book from The Big Bang of Datat Science. I am Dr. Deniz Dahman the creator of the BireyselValue algorithm 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 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.

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
2. subscribe to this channel Dahman's Phi Services
3. you can support on patreon

If you prefer any other way of contribution, please feel free to contact me directly on contact.

Thank you

This is the second element of the Big Bang of Data Science, Analysis 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 analysis, but from the industrial one. So, I believe ANALYSIS is the co-concertmaster that sits in the second chair of the highest leadership position among all the other parts that are responsible for the outcome of a product. Analysis is an art that has the characteristics of being a two-edged sword. In other words, if your understanding of analysis is based on subjective, rigid ground then your answers/solutions/products are for sure questioned. However, if your analysis is based on objective, scientific grounds then your answers/solutions/products are for sure worthy of consuming. If you search any search engine the word of analysis, you should not be surprised with the astronomical number of results on your search. The problem with many of the materials which discuss the subject of analysis is that two perspectives are there:

the first, the perspective of analysis as a bunch of graphs and tables,

and the second, the perspective of analysis is a bunch of tests and tools that applies them.

Well, one can argue there is nothing wrong with that, but the problem arises when one fails to understand the raw materials that are needed to present those tables and figures, in addition, the fundamentals of those tools and tests that produce them. To this end, this book aims to address this mis conceptual understanding about analysis; basically, the book materials are constructed in such way that one can:

firstly, understand the important of data that come from solid research,

secondly, to understand the fundamentals of analysis from philosophical and scientifical perspective,

thirdly, complete grasp on the meaning of hypothesis, as forming, articulating, etc.,

and finally, the comprehensive knowledge on the tests and tools are there to help you implement your analysis.

To this end, the second book is carefully crafted to meet all the requirements to build your product on the right foundation of analysis. Here is a quick view of the content of the book.

1. [✓] Research map

2. [✓] THREATS TO CONCLUSION VALIDITY

3. [✓] STATISTICAL POWER

4. [✓] IMPOROVE CONCLUSION VALIDITY

5. [✓] ANALYSIS

1. [✓] LOGGING THE DATA

2. [✓] DATA ACCURACY CONTROL

3. [✓] DATABASE STRUCTURE

4. [✓] ENTERING DATA TO THE COMPUTER

5. [✓] DATA TRANSFORMATION

6. [✓] LAB-01- Three parts on data preparation

1. [✓] Introduction to EDA

2. [✓] Distribution

3. [✓] Central Tendency

4. [✓] Dispersion

5. [✓] Bivariate descriptive

6. [✓] Multivariate descriptive

7. [✓] LAB-02- analysis on univariate, bivariate, and multivariate

1. [✓] Introduction

2. [✓] Esstimating Parameters

3. [✓] Hypothesis Testing

1. [✓] Introduction

2. [✓] Statistical Software

3. [✓] Intro- Implementation by JAMOVI

4. [✓] LAB-03- analysis on two datasets using JAMOVI

1. [✓] Review

2. [✓] EDA analysis

3. [✓] Inferential Analysis

4. [✓] LAB-04- implementation on the dataset from the first book

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.

you can have access to the recorded lessons of this book from these outlets:

1. outlet_1 + Discount.
2. outlet_2

you can have access to the ppt digital copy in pdf format from digital ppt book