9 self-evaluation questions to help you get ready

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Disclaimer: This article is meant to share some personal experiences that I learned during my journey to personal finance and wealth building, and in no way should be considered as investment advice.

Introduction

In this article, we discuss 9 self-evaluation questions that would enable you to assess yourself to determine if investing and wealth building is something you are ready to get into. Wealth building is a very complex topic, and it requires a lot of knowledge to learn the basics. Having reliable information and knowledge about wealth building would help you build your confidence in the wealth building process. It…


Understand the difference between noise and signal

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Disclaimer: This article is meant to provide some basic analysis of the stock market, and in no way should be considered as investment advice.

Introduction

Benjamin Graham, the legendary economist, investor, and mentor to Warren Buffet wrote that “the owner of equity stocks should regard them first and foremost as conferring part ownership of a business. With that perspective in mind, the stock owner should not be too concerned with erratic fluctuations in stock prices, since in the short term the stock market behaves like a voting machine, but in the long term it acts like a weighing machine (i.e. …


Paying off your credit card balance as fast as you can will save you tons of money

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Disclaimer: This article is meant to provide some basic analysis of credit card loan payment management, and in no way should be considered as financial advice.

Introduction

Credit card debts are very high interest rate debts (typically in the 15% to 25% range in terms Annual Percentage Rates). Unlike credit card loans, personal loans could be in the 5% to 10% range, while mortgage loans (home loans) are typically in the 3% to 5% range.

In this article, we discuss how the effect of compounding can impact the total amount of interest that you pay on your credit card balance. We…


Allocate assets in your portfolio based on available data and track record

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Disclaimer: This article is meant to provide some basic analysis of portfolio management, and in no way should be considered as investment advice.

The purpose of this tutorial is to illustrate how to manage assets in a portfolio in a data-driven way. The portfolio of interest could be a personal investment account (standard brokerage account or non-retirement account) or a retirement account such as 401k, IRA, etc.

Financial Services Corporations such as Fidelity, TD Ameritrade, Vanguard, and TIAA offer wealth management services that would allow an individual to setup a personal investment account. …


Data Science, Education

In today’s world of information technology, you can design your own pathway to data science

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Think of the amount of data produced worldwide on a daily basis: health care data, educational data, financial data, business data, etc. As more and more parts of the world are gaining access to technology and the internet, the amount of data produced is only expected to continue to rise. Data science is therefore an important skill to learn in the 21st century. Adding data science skills to your portfolio of skills would increase your chances of emerging and standing out from the crowd.

In a world of information technology, there are numerous resources for learning data science. Anyone interested…


Two equations that summarize the four essential components of a portfolio

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Disclaimer: This article is meant to provide some basic mathematical analysis of key concepts used in portfolio management, and in no way should be considered as investment advice.

In portfolio management, there are 4 important concepts or terminologies that can be described using 2 equations. There parameters are: Return, Risk, Correlation and Diversification.

Return is the expected portfolio return and is given by


The random walk is an important model for stochastic processes with applications in physics, statistics, finance, etc.

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The random walk is an example of a stochastic or random process. Here, the outcome at time t+1 is independent of the outcome at time t. Random walks have applications in several disciplines such as mathematics, physics, biology, chemistry, finance, etc. For example, a random walk can be used in finance to model stock prices, or in physics to model Brownian motion.

In this article, we present an example of a discrete random walk in two-dimension.

Problem definition: Suppose we start at the origin on a two-dimensional (2D) lattice on the x-y plane, what is the location of the random…


You can’t fully understand your data until you know the right questions to ask of it

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Understanding your data first is a key step before going too far into any data science project. But, you can’t fully understand your data until you know the right questions to ask of it.

Data science is an interdisciplinary field that uses the scientific method, processes, and algorithms to extract knowledge and insights from data. The field of data science has several subdivisions, such as data mining, data transformation, data visualization, machine learning, deep learning, etc. In this article, we will focus on how to ask meaningful questions that could be answered using data. The quality of any analysis performed…


Data Science, Mathematics

The data scientist needs to embrace mathematics in order to build reliable models using data

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Data science is an interdisciplinary field that uses scientific methods, processes, and algorithms to extract knowledge and insights from data. The field of data science has several subdivisions such as data mining, data transformation, data visualization, machine learning, deep learning, etc. As a scientific discipline, a data science task could be broken into 3 main stages:


Use these questions to determine if data science is the right field for you

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Data science skills have become increasingly more important for jobs that once had little to do with statistics, including marketing and business. Adding data science skills to your portfolio will give you an edge in your current role in the market this year. Before getting into data science, use the questions below to determine if data science is the right field for you.

1. What is data science?

Data Science is such a broad field that includes several subdivisions like data preparation and exploration; data representation and transformation; data visualization and presentation; predictive analytics; machine learning, deep learning, artificial intelligence, etc. There are three levels…

Benjamin Obi Tayo Ph.D.

Physicist, Data Science Educator, Writer. Interests: Data Science, Machine Learning, AI, Python & R, Personal Finance Analytics, Materials Sciences, Biophysics

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