Generative AI for Business Leaders
This condensed course is designed to equip business leaders with an essential understanding of generative artificial intelligence.
Advertising with Meta
This Pathway will throw light upon how it is imperative for individuals and businesses to employ Cybersecurity in the usage of IoT.
How Google does Machine Learning
This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning.
دوراتنا
Funciones algebraicas y trascendentes
En este curso estudiarás las funciones algebraicas y trascendentes desde su definición y notación.
Resolverás problemas de la vida cotidiana que se modelan a través de funciones:
Polinomiales
Racionales
Con Radicales
Exponenciales
Logarítmicas
Trigonométricas
Para las cuales utilizarás conceptos y procedimientos de aritmética, álgebra y trigonometría, así como de la geometría euclidiana y de la analítica.
- مقدم بواسطة
التعلم الذاتي 
72 ساعات 
الإسبانية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Introduction to Calculus
The focus and themes of the Introduction to Calculus course address the most important foundations for applications of mathematics in science, engineering and commerce. The course emphasises the key ideas and historical motivation for calculus, while at the same time striking a balance between theory and application, leading to a mastery of key threshold concepts in foundational mathematics.
- مقدم بواسطة
- التعلم الذاتي
- 59 ساعات
- الإنجليزية
AED 170.99 + VAT
اعرف المزيدProbability Theory: Foundation for Data Science
Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data collection. We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science.
- مقدم بواسطة
- التعلم الذاتي
- 48 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Pre-Calculus
Curso diseñado para facilitar la entrada del estudiante en los cursos de cálculo de primer semestre de prácticamente cualquier grado universitario, con especial énfasis en Ciencias e Ingeniería.
- مقدم بواسطة
- التعلم الذاتي
- 47 ساعات
- الإسبانية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Modern Regression Analysis in R
This course will provide a set of foundational statistical modeling tools for data science. In particular, students will be introduced to methods, theory, and applications of linear statistical models, covering the topics of parameter estimation, residual diagnostics, goodness of fit, and various strategies for variable selection and model comparison. Attention will also be given to the misuse of statistical models and ethical implications of such misuse.
- مقدم بواسطة
- التعلم الذاتي
- 45 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Generalized Linear Models and Nonparametric Regression
In the final course of the statistical modeling for data science program, learners will study a broad set of more advanced statistical modeling tools. Such tools will include generalized linear models (GLMs), which will provide an introduction to classification (through logistic regression); nonparametric modeling, including kernel estimators, smoothing splines; and semi-parametric generalized additive models (GAMs). Emphasis will be placed on a firm conceptual understanding of these tools. Attention will also be given to ethical issues raised by using complicated statistical models.
- مقدم بواسطة
- التعلم الذاتي
- 42 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Numerical Methods for Engineers
This course covers the most important numerical methods that an engineer should know, including root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems, and access to MATLAB online and the MATLAB grader is given to all students who enroll.
We assume students are already familiar with the basics of matrix algebra, differential equations, and vector calculus. They should have a working knowledge of a programming language, and be willing to learn MATLAB.
- مقدم بواسطة
- التعلم الذاتي
- 42 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Discrete Mathematics
Discrete mathematics forms the mathematical foundation of computer and information science. It is also a fascinating subject in itself.
Learners will become familiar with a broad range of mathematical objects like sets, functions, relations, graphs, that are omnipresent in computer science. Perhaps more importantly, they will reach a certain level of mathematical maturity - being able to understand formal statements and their proofs; coming up with rigorous proofs themselves; and coming up with interesting results.
- مقدم بواسطة
- التعلم الذاتي
- 42 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
ANOVA and Experimental Design
This second course in statistical modeling will introduce students to the study of the analysis of variance (ANOVA), analysis of covariance (ANCOVA), and experimental design. ANOVA and ANCOVA, presented as a type of linear regression model, will provide the mathematical basis for designing experiments for data science applications. Emphasis will be placed on important design-related concepts, such as randomization, blocking, factorial design, and causality. Some attention will also be given to ethical issues raised in experimentation.
- مقدم بواسطة
- التعلم الذاتي
- 40 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Mathematics for Computer Science
“Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools. We get you started in binary and other number bases, some tools to make sense of sequences of numbers, how to represent space numerical using coordinates, how to study variations of quantities via functions and their graphs.
- مقدم بواسطة
- التعلم الذاتي
- 38 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
The Power of Statistics
This is the fourth of seven courses in the Google Advanced Data Analytics Certificate. In this course, you’ll discover how data professionals use statistics to analyze data and gain important insights. You'll explore key concepts such as descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing. You'll also learn how to use Python for statistical analysis and practice communicating your findings like a data professional.
- مقدم بواسطة
- التعلم الذاتي
- 37 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Math Prep: College & Work Ready
This MOOC will cover four main categories: Number Sense, Elementary Algebra, Intermediate Algebra, and Geometry and Statistics. The purpose of this course is to review and practice key concepts to prepare learners for college and the workforce.
- مقدم بواسطة
- التعلم الذاتي
- 35 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Regression and Classification
Introduction to Statistical Learning will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and if other options will provide certain trade-offs. We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more!
- مقدم بواسطة
- التعلم الذاتي
- 35 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Information Theory
The lectures of this course are based on the first 11 chapters of Prof. Raymond Yeung’s textbook entitled Information Theory and Network Coding (Springer 2008). This book and its predecessor, A First Course in Information Theory (Kluwer 2002, essentially the first edition of the 2008 book), have been adopted by over 60 universities around the world as either a textbook or reference text.
At the completion of this course, the student should be able to:
1) Demonstrate knowledge and understanding of the fundamentals of information theory.
- مقدم بواسطة
- التعلم الذاتي
- 33 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
An Intuitive Introduction to Probability
This course will provide you with a basic, intuitive and practical introduction into Probability Theory. You will be able to learn how to apply Probability Theory in different scenarios and you will earn a "toolbox" of methods to deal with uncertainty in your daily life.
- مقدم بواسطة
- التعلم الذاتي
- 30 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Vector Calculus for Engineers
This course covers both the theoretical foundations and practical applications of Vector Calculus. During the first week, students will learn about scalar and vector fields. In the second week, they will differentiate fields. The third week focuses on multidimensional integration and curvilinear coordinate systems. Line and surface integrals are covered in the fourth week, while the fifth week explores the fundamental theorems of vector calculus, including the gradient theorem, the divergence theorem, and Stokes' theorem.
- مقدم بواسطة
- التعلم الذاتي
- 30 ساعات
- الإنجليزية
AED 170.99 + VAT
اعرف المزيدStatistical Inference for Estimation in Data Science
This course introduces statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators, method of moments estimation, maximum likelihood estimation, and methods of constructing confidence intervals that will extend to more general settings.
- مقدم بواسطة
- التعلم الذاتي
- 28 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Practical Time Series Analysis
Welcome to Practical Time Series Analysis!
Many of us are "accidental" data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we have no formal analytic training. This course is designed for people with some technical competencies who would like more than a "cookbook" approach, but who still need to concentrate on the routine sorts of presentation and analysis that deepen the understanding of our professional topics.
- مقدم بواسطة
- التعلم الذاتي
- 26 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Inteligencia artificial: proyecto final
En el proyecto culminante del programa especializado Introducción a la Inteligencia Artificial, los estudiantes aplicarán conceptos adquiridos durante el programa en un problema de su elección.
El proyecto involucrará el desarrollo de un programa de software y la escritura de un ensayo. Se extenderá por lo menos uno de los temas cubiertos en el programa especializado, realizando una implementación, comparándolo con otras técnicas y reportando los resultados en un ensayo. La evaluación será por pares.
Los objetivos del proyecto son:
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- التعلم الذاتي
- 25 ساعات
- الإسبانية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Pre-MBA Statistics
Welcome to the Pre-MBA Statistics course! By the end of this course, you will be able to describe how statistics can be used to summarize, analyze, and interpret data. This course introduces you to some aspects of descriptive and inferential statistics. You will learn to distinguish between various data types and describe the operations that you can execute with each type of data and the right tools to use. The course also discusses the concepts of probability, which form the backbone of statistical analysis.
- مقدم بواسطة
- التعلم الذاتي
- 24 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Bayesian Statistics: Time Series Analysis
This course for practicing and aspiring data scientists and statisticians. It is the fourth of a four-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, Techniques and Models, and Mixture models.
- مقدم بواسطة
- التعلم الذاتي
- 22 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Data and Statistics Foundation for Investment Professionals
Aimed at investment professionals or those with investment industry knowledge, this course offers an introduction to the basic data and statistical techniques that underpin data analysis and lays an essential foundation in the techniques that are used in big data and machine learning. It introduces the topics and gives practical examples of how they are used by investment professionals, including the importance of presenting the “data story" by using appropriate visualizations and report writing.
In this course you will learn how to:
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- التعلم الذاتي
- 21 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.
- مقدم بواسطة
- التعلم الذاتي
- 21 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Razonamiento artificial
El razonamiento formal juega un papel importante en la inteligencia artificial. Hay dos maneras principales de formalizar razonamiento: una que enfatiza la deducción (lógica), y otra que enfatiza la incertidumbre (teoría de la probabilidad). En este curso vamos a cubrir una introducción tanto a la lógica (vamos a cubrir tres lógicas) como a la teoría de la probabilidad (vamos a cubrir tres modelos gráficos probabilísticos).
Algunas tareas requieren programación básica en Python: El alumno deberá completar código al que se le ha eliminado una parte.
- مقدم بواسطة
- التعلم الذاتي
- 21 ساعات
- الإسبانية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Calculus: Single Variable Part 4 - Applications
Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences.
- مقدم بواسطة
- التعلم الذاتي
- 21 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT