Full Data Science Course: From Zero to Hero

Part I: Inferential Statistics

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Last Updated: 2023-03-20 05:03:05 English Course Type: Self Learning

Learn the Main Concepts of Inferential Statistics to use in Machine Learning

In this course, you will take the first step in your Data Science journey by learning Inferential Statistics.

Data Science Professionals in Machine Learning, Artificial Intelligence, and all professionals in several fields like Finance, Psychology, and the Medical Field, all require an understanding of Statistics. It is the core language of all these fields when it comes to Data Analysis.

You will be able to understand and master Machine Learning concepts when you understand the key foundations behind them. These come from mastering: Statistics and Mathematical Modelling.

Course Outline:

1. Master the Inferential Statistics Terminology and Concepts

Random Variables, Random Samples, the 4 types of Data, NOIR, Experiments vs Trials and Events.

2. Master the Discrete and Continuous Distributions and their Sub-Functions so you can know when and how to use them

Binomial, Bernoulli, Negative Binomial, Geometric, Poisson, Exponential, Uniform, Normal, T-Student, Chi-Squared, and F-Distribution.

3. Master Conversions from any Distribution to the Normal Distribution

From N to Z, from T to Z, from Chi-Squared to Z

4. Learn how to conduct Hypothesis Tests

1-Tailed and 2-Tailed, how to use any Statistical Table, Find Critical Values, compare to calculated test statistics, and make Conclusions.

5. Learn how to indicate conclusions based on percentages.

6. Learn how to build Confidence Intervals for a Population Parameter

7. Learn how to calculate Population Estimators using Advanced Statistics Techniques

Ordinary Least Squares (OLS), Method of Moments Estimator (MME), and Maximum Likelihood Estimator(MLE)

No prior knowledge needed. You will learn everything you need to know

Beginner Data Science students and professionals

Section 1 : Introduction 2 Lectures 00:05:21
Lecture 1 :
Introduction Preview
Lecture 2 :
What is the purpose of Statistics
Section 2 : Key Terminology 6 Lectures 00:12:08
Lecture 1 :
Population vs Sample
Lecture 2 :
Inferential Approaches: Estimation
Lecture 3 :
Inferential Approaches: Hypothesis Testing
Lecture 4 :
Population Parameters and Sample Statistics
Lecture 5 :
Data Types(Qualitative and Quantitative), Samples
Lecture 6 :
Trials, Experiments, Events, Independence and Likelihood
Section 3 : Distributions: key properties and theorems 13 Lectures 00:20:10
Lecture 1 :
What is a distribution?
Lecture 2 :
Discrete: Binomial and Bernoulli
Lecture 3 :
Discrete: Negative Binomial and Geometric
Lecture 4 :
Discrete: Poisson
Lecture 5 :
Continuous: Exponential
Lecture 6 :
Continuous: Uniform
Lecture 7 :
Continuous: Normal and Central Limit Theorem
Lecture 8 :
T-Student Distribution
Lecture 9 :
Standardization Z-Score
Lecture 10 :
When to use N vs T-Student Distribution
Lecture 11 :
Continuous: Chi-Squared
Lecture 12 :
F-Distribution and ANOVA
Lecture 13 :
Probability Functions Revisited: Tables, PMF, PDF and CDF
Section 4 : Learn about the main distributions and how to use them 5 Lectures 00:03:41
Lecture 1 :
What is an Hypothesis test, procedures and errors
Lecture 2 :
Estimators and Main Techniques
Lecture 3 :
Estimators: OLS
Lecture 4 :
Estimators: MME
Lecture 5 :
Estimators: MLE
Section 5 : Section I Summary 1 Lectures 00:00:07
Lecture 1 :
Section I Summary
Section 6 : PART 2: Exercises: Hypothesis Testing 2 Lectures 00:18:51
Lecture 1 :
1-WAY ANOVA Exercises
Lecture 2 :
2-WAY ANOVA Exercises
Section 7 : PART 2: Exercises: Confidence Intervals 3 Lectures 00:03:56
Lecture 1 :
How to build a confidence interval
Lecture 2 :
find k, E(X) and Var(X)
Lecture 3 :
Course Summary

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Diogo Marques,

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Diogo Marques is a financial advisor for the largest investment funds and Insurance companies in Portugal. Owner of Grupo Marques Seguros specializes in Economics. Diogo explains complex mathematical topics so that anyone can understand them. Invest in yourself by watching Diogo's courses. This is a skill set no one can take away from you, and will give you an enormous competitive edge in the marketplace.