# Analysis From the Start to The End

### Analysis From the Start to The En

The Dark Forest and Death's End each deal with incredible jumps in time as characters enter hibernation, and as society makes its own leaps

### What you'll learn

•     Research map & the relevance to analysis
•     Threats to conclusion validity
•     Fundamentals of statistical powers
•     Improvement of conclusion validity
•     Map of analysis Framework
•     Data preparation: logging, accuracy control, structure, and transformation
•     LAB-01: Data Preparation; all the steps you need to prepare your data from research perspective
•     Fundamentals of EDA
•     Mass, and Density distributions
•     Central tendency: mean, median, mode, and proportion
•     Dispersion: rang, interquartile, variance, and standard deviation
•     Univariate, Bivariate, and Multivariate analysis- process
•     LAB-02: analysis using univariate, bivariate and multivariate techniques
•     Inferential Analysis: estimating parameters, and hypothesis testing
•     Statistical tests: t-test, Chi square, Pearson's, F-test, ANOVA, MANOVA, and many more
•     Intro to open-source statistical software Jamovi
•     LAB-03: implementation of all the outlines using Jamovi on synthetical datasets
•     LAB-04: implementation of all the outlines using Jamovi on real dataset

## Description

The Content

This is the second element of the Big Bang of Data Science, that is [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:

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

2. 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:

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

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

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

4. 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.

Introduction

• [✓] Research map

• [✓] THREATS TO CONCLUSION VALIDITY

• [✓] STATISTICAL POWER

• [✓] IMPOROVE CONCLUSION VALIDITY

• [✓] ANALYSIS

Data Preparation

• [✓] LOGGING THE DATA

• [✓] DATA ACCURACY CONTROL

• [✓] ENTERING DATA TO THE COMPUTER

• [✓] DATA TRANSFORMATION

• [✓] LAB-01- Three parts- on data preparation

Descriptive Statistics

• [✓] Introduction to EDA

• [✓] Distribution

• [✓] Central Tendency

• [✓] Dispersion

• [✓] Bivariate descriptive

• [✓] Multivariate descriptive

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

Inferential Statistics

• [✓] Introduction

• [✓] Estimating Parameters

• [✓] Hypothesis Testing

Statistical Software

• [✓] Introduction

• [✓] Statistical Software

• [✓] Intro- Implementation by JAMOVI

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

LAB-Section –04- Analysis on real dataset using Jamovi

• [✓] Review

• [✓] EDA analysis

• [✓] Inferential Analysis

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

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.

Tip

The trainer strongly advice on learning the materials from the first book Research from the Start to the End; that can absolutely help you to perform way better in this book.