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Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Central Limit Theorem - Theory
In this video, you will learn about a fundamental concept of probability, the central limit theorem. The author explains this comprehensively as the base for the following lectures.
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Statistics & Mathematics for Data Science and Data Analytics - Expected Value
In this lesson, you will learn about an important concept in probability, the expected value or outcome.
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Statistics & Mathematics for Data Science and Data Analytics - Bayes Theorem
This video is a detailed explanation of the Bayes theorem, which is an important theorem of probability, with a simple example.
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Statistics & Mathematics for Data Science and Data Analytics - Detailed Solution: Rule of Addition
This video provides a more elaborate and detailed solution to the practice exercise of the rule of addition concept.
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Statistics & Mathematics for Data Science and Data Analytics - Practice: Rule of Addition
This is a practice exercise to understand better the rule of addition concept with a practical exercise.
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Statistics & Mathematics for Data Science and Data Analytics - Detailed Solution: Simple Probabilities
This video provides a more elaborate explanation of the solution to the exercise provided in the previous practice exercise.
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Statistics & Mathematics for Data Science and Data Analytics - Quick Solution: Simple Probabilities
This video provides the solution and explanation to the exercise provided in the previous lecture.
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Statistics & Mathematics for Data Science and Data Analytics - Practice: Simple Probabilities
In this quick practice exercise, we will apply what we already learned about simple probabilities and solve an exercise.
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Statistics & Mathematics for Data Science and Data Analytics - Calculating Simple Probabilities
In this lecture, you will learn to calculate the probability of events using a simple probability distribution.
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Statistics & Mathematics for Data Science and Data Analytics - Introduction- Probability and its elements
This brief introductory video to this section lets us know what you will learn in terms of probability and its elements.
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Statistics & Mathematics for Data Science and Data Analytics - Solution: Normal Distribution
This video provides the solution and explanations to the practice exercise on the normal distribution in the previous video.
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Statistics & Mathematics for Data Science and Data Analytics - Practice: Normal Distribution
This is a practical exercise in understanding normal distribution with examples to learn the concept better.
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Statistics & Mathematics for Data Science and Data Analytics - Z-Scores
In this lesson, you will learn more about a precise distribution score, the Z score, and the Z score table.
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Statistics & Mathematics for Data Science and Data Analytics - Statistical Moments
Here, we will understand the concepts of statistical moments, which generalizes what we already know about the central tendency measures and spread/dispersion.
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Statistics & Mathematics for Data Science and Data Analytics - Variance and Standard Deviation
After learning about the measures of spread, the range, and IQR, we will now learn more about the two most common measures of spread, the variance, and standard deviation.
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Statistics & Mathematics for Data Science and Data Analytics - Range and IQR
In this lesson, we will understand the measures of spread or dispersion, which is the range, and we will look at the interquartile range in detail.
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Statistics & Mathematics for Data Science and Data Analytics - Median
In this lesson, we will discuss the second important measure of central tendency, the median.
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Statistics & Mathematics for Data Science and Data Analytics - Welcome!
This is a welcome introduction by the author where he explains in detail what the course is all about, what you will learn from the course, and a brief outline of the entire course's content.
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Introduction to FinTech Using R - First Course in Asset Pricing
In this video, we will look at how to create an ASP.NET Core API project with Visual Studio 2022 using an ASP.NET Core web API template.
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This clip is from the chapter "Asset Pricing" of the series "Introduction to FinTech...
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This clip is from the chapter "Asset Pricing" of the series "Introduction to FinTech...
Curated Video
Introduction to FinTech Using R - How to Time Stock Market, a Qualitative Discussion
This video picks from where we left off in stock market timing. We discuss some soft threshold and extend the market timing concept to a generalized framework.
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This clip is from the chapter "Stock Market Timing" of the series...
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This clip is from the chapter "Stock Market Timing" of the series...
Curated Video
Introduction to FinTech Using R - How to Time Stock Market
In this video, you will learn how to time the stock market and will focus on the coding aspect of how the algorithm is designed.
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This clip is from the chapter "Stock Market Timing" of the series "Introduction to FinTech Using...
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This clip is from the chapter "Stock Market Timing" of the series "Introduction to FinTech Using...
Curated Video
Introduction to FinTech Using R - Basics in Money Management
This clip is from the chapter "Introduction" of the series "Introduction to FinTech Using R".This section introduces the course and basics in money management.
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Introduction to FinTech Using R - A Qualitative Discussion on Growth Strategy
This video explains a qualitative discussion on growth strategy.<br<br/>/>
This clip is from the chapter "Asset Pricing" of the series "Introduction to FinTech Using R".This section explains asset pricing.
This clip is from the chapter "Asset Pricing" of the series "Introduction to FinTech Using R".This section explains asset pricing.
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Introduction to FinTech Using R - The Last Bow
In this video, we are going to talk about how to build a web-based application so that we can come up with a software platform for clients to use. We are going to use R Shiny, which has a front-end and back-end. The front-end is coded...