Probability And Statistics For Data Science in Hong Kong

Home

Courses

Data Science Courses

Probability and Statistics for Data Science Training

Hong Kong

Attain in-depth knowledge of random variables and multivariate random variables.
Gain an understanding of the convergence of random processes and Markov chains.
Become familiar with Bayesian statistics, hypothesis testing, and linear regression.

Dates & Prices Dates & Prices

Course information

Probability and Statistics for Data Science Training Course Outline

Module 1: Basic Probability Theory

Probability Spaces
Conditional Probability
Independence

Module 2: Random Variables

What are Random Variables?
Discrete Random Variables
Continuous Random Variables
Conditioning on an Event
Functions of Random Variables
Generating Random Variables

Module 3: Multivariate Random Variables

Introduction to Multivariate Random Variables
Discrete Random Variables
Continuous Random Variables
Joint Distributions of Discrete and Continuous Variables
Independence
Functions of Several Random Variables
Generating Multivariate Random Variables
Rejection Sampling

Module 4: Expectation

Expectation Operator
Mean and Variance
Covariance
Conditional Expectation

Module 5: Random Processes

Introduction to Random Process
Mean and Autocovariance Functions
Independent Identically-Distributed Sequences Gaussian Process
Poisson Process
Random Walk

Module 6: Convergence of Random Processes

Types of Convergence
Law of Large Numbers
Central Limit Theorem
Monte Carlo Simulation

Module 7: Markov Chains

Markov Property
Time-Homogeneous Discrete-Time Markov Chains
Recurrence
Periodicity
Convergence
Markov-Chain Monte Carlo

Module 8: Descriptive Statistics

What are Descriptive Statistics?
Examples of Descriptive Statistics
Types of Descriptive Statistics

Module 9: Frequentist Statistics

Mean Square Error
Consistency
Conﬁdence Intervals
Nonparametric Model Estimation
Parametric Model Estimation
Maximum Likelihood

Module 10: Bayesian Statistics

Bayesian Parametric Models
Conjugate Prior
Bayesian Estimators

Module 11: Hypothesis Testing

Hypothesis-Testing Framework
Parametric Testing
Nonparametric Testing: The Permutation Test
Multiple Testing

Module 12: Linear Regression

Introduction to Linear Regression
Linear Models
Least-Squares Estimation

Who should attend this Probability and Statistics for Data Science Training?

This Probability and Statistics for Data Science Course is designed to provide foundational and practical knowledge in Probability and Statistics, which are crucial for Data Science, Machine Learning, and Data Analysis. The following are some professionals who will benefit from attending this course:

Data Scientists
Machine Learning Engineers
Data Analysts
Business Analysts
Product Managers
Quantitative Analysts
Statisticians

Prerequisites of the Probability and Statistics for Data Science Training

There are no formal prerequisites for the Probability and Statistics for Data Science Course.

Probability and Statistics for Data Science Training Course Overview

Probability and statistics form the foundational pillars of Data Science, providing the necessary tools for understanding uncertainty, variability, and making informed decisions based on data. This training course delves into the fundamental concepts of probability and statistics, emphasising their crucial role in the field of Data Science. Delegates will explore how these concepts contribute to the extraction of meaningful insights and patterns from data.

Understanding Probability and Statistics is essential for professionals in the Data Science domain. Data Scientists, Analysts, and decision-makers rely on these principles to draw accurate conclusions and predictions from data. Mastery of probability allows for the quantification of uncertainty, while statistics enables the analysis of data patterns and trends.

This 2-day training offered by The Knowledge Academy will empower the delegates with the skills to apply probability and statistics in practical data science scenarios. They will learn key concepts such as probability distributions, hypothesis testing, and regression analysis. The course provides a comprehensive understanding of statistical methods, enabling professionals to make informed decisions and predictions based on data

Course Objectives

To represent and analyse uncertain phenomena using a framework
To quantify the outcome of the experiment as belonging to a specific event
To assign probabilities to each occurrence of interest and an experiment
To become accustomed to Markov chains and different statistical types
To generate samples from the appropriate conditional distribution
To evaluate the occurrence of a particular event that influences another event

Upon completion of this Data Science Training, delegates will possess a strong foundation in Probability and Statistics for Data Science. They will be equipped with the tools and techniques needed to analyse data effectively, make informed decisions, and contribute meaningfully to data-driven projects within their organisations.

What’s included in this Probability and Statistics for Data Science Training?

World-Class Training Sessions from Experienced Instructors
Probability and Statistics for Data Science Certificate
Digital Delegate Pack

Why choose us

Our Hong Kong venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Hong Kong is an autonomous territory of the People’s Republic of China and can be located on the southern coast of China. Hong Kong has a population of around 7 million people. The education system in Hong Kong is mostly based around the English system and it is overseen by the Education Bureau and the Social Welfare Department. One of the earliest schools in Hong Kong was Li Ying College established in 1075. The education level begins with preschool education that is payable education, paid by pupil’s parents. The primary and secondary education is mandatory for every child in Hong Kong to attend from the age of 6 to 18. Higher education remains exclusive in Hong Kong and adult education is a growing sector in Hong Kong, with two non-profit school running evening courses. The University of Hong Kong was founded in 1911 and is the oldest tertiary (higher education) institution in Hong Kong and is organised into 10 academic faculties with English as the main language of instruction. The Education Bureau in Hong Kong also provides educational services for immigrant children from mainland China and other countries. Hong Kong also has 175 internal schools.

Address

62/F & 66/F
The Center
99 Queens Road
Central
Hong Kong

T: +852 2592 5349

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Probability And Statistics For Data Science in Hong Kong. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Learn more in our FAQs

Unlock your potential with The Knowledge Academy's Probability And Statistics For Data Science in Hong Kong, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Learn more in our FAQs

What our customers are saying

Probability And Statistics For Data Science in Hong Kong FAQs

What is the use of probability and statistics in Data Science?

Probability is used to predict the outcome of an event about to occur, and statistics is helpful to estimate the values for further analysis, which depends on probability theory. Both probability and statistics rely on the data.

What are the pre-requisites?

There are no formal prerequisites for attending this Probability and Statistics for Data Science Training course.

Who should attend this course?

This training is suitable for anyone who wants to learn how to apply probability and statistics in Data Science.

What is the Markov Chain?

Markov Chain is the mathematical function used to model random processes in discrete spaces that satisfy the Markov property. Markov property is satisfied when a current state can predict a future state.

What is a random variable?

A random variable is a numeric value associated with a probability that depends on the random process. It can be discrete or continuous.

What is the duration of this course?

This course is 2 days.

What is hypothesis testing?

Hypothesis testing is the statistical testing of the predictions made by Researchers and Data Scientists regarding the natural world, whether these are true or not.

What will I learn in this Probability and Statistics for Data Science Training course?

In this Probability and Statistics for Data Science Training course, you will learn how to apply probability theory and statistics in data science for prediction and estimations, hypothesis testing, Markov Chain, linear regression, multivariate random variables, expectations, random processes, descriptive statistics, and other related concepts.

What is the cost/training fees for Probability and Statistics for Data Science Training in Hong Kong?

The training fees for Probability and Statistics for Data Science Trainingin Hong Kong starts from HKD19495

Which is the best training institute/provider of Probability and Statistics for Data Science Training in Hong Kong?

The Knowledge Academy is the Leading global training provider for Probability and Statistics for Data Science Training.

What are the best Data Science Courses courses in Hong Kong?

Please see our Data Science Courses courses available in Hong Kong

Why choose us

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

Looking for more information on Data Science Courses?

Back to course information

Upcoming classes
Package deals

Get a custom course package

We may not have any package deals available including this course. If you enquire or give us a call on +852 2592 5349 and speak to our training experts, we should be able to help you with your requirements.

Book now