Generative AI for Business Leaders
This condensed course is designed to equip business leaders with an essential understanding of generative artificial intelligence.
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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
Statistics
This course provides an overview of bachelor-level statistics. You will review the concepts of descriptive and inferential statistics. You will use the statistical software package R on real data to gain insight in these topics.
- مقدم بواسطة
التعلم الذاتي 
35 
الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Dealing With Missing Data
This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®.
- مقدم بواسطة
- التعلم الذاتي
- 18 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Bayesian Statistics
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution.
- مقدم بواسطة
- التعلم الذاتي
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Investigating Epidemics like COVID-19: An Analyst's Guide
Do you want to learn how to detect, identify the cause, and decrease the morbidity and mortality from outbreaks or pandemics like COVID-19? Are you considering a career in public health practice, but aren’t sure how health departments collect and use outbreak data? Are you working in public health, but interested in moving into analytical and/or technical roles or curious how health departments investigate outbreaks? If so, this course is for you.
- مقدم بواسطة
- التعلم الذاتي
- 13 ساعات
- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
Importing Data into R
In this 1-hour long project-based course, you will learn how to read all sorts of data and import them into R, including CSV files, Excel files, data from other statistical software, the web and from relational databases. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
- مقدم بواسطة
- التعلم الذاتي
- 3 ساعات
- الإنجليزية
مجاني
اعرف المزيد
Inferenzstatistik
This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project.
- مقدم بواسطة
- التعلم الذاتي
- 17 ساعات
- ألماني
الاشتراك الشهري
متضمن في- الباقة الإبتدائية @ AED 99 + VAT
- الباقة الاحترافية @ AED 149 + VAT
A Crash Course in Causality: Inferring Causal Effects from Observational Data
We have all heard the phrase “correlation does not equal causation.” What, then, does equal causation? This course aims to answer that question and more! Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods. Learners will have the opportunity to apply these methods to example data in R (free statistical software environment). At the end of the course, learners should be able to: 1. Define causal effects using potential outcomes 2.
- مقدم بواسطة
- التعلم الذاتي
- 18 ساعات
- الإنجليزية
AED 170.99 + VAT
اعرف المزيد
Basic Statistics
Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance).
- مقدم بواسطة
- التعلم الذاتي
- 27 ساعات
- الإنجليزية
AED 170.99 + VAT
اعرف المزيد
Bayesian Statistics: Mixture Models
Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. The course is organized in five modules, each of which contains lecture videos, short quizzes, background reading, discussion prompts, and one or more peer-reviewed assignments. Statistics is best learned by doing it, not just watching a video, so the course is structured to help you learn through application. Some exercises require the use of R, a freely-available statistical software package.
- مقدم بواسطة
- التعلم الذاتي
- 22 ساعات
- الإنجليزية
AED 170.99 + VAT
اعرف المزيد
Introduction to Probability and Data with R
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project.
- مقدم بواسطة
- التعلم الذاتي
- 14 ساعات
- الإنجليزية
AED 274.99 + VAT
اعرف المزيد
Data Analysis Tools
In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed.
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- التعلم الذاتي
- 10 ساعات
- الإنجليزية
AED 274.99 + VAT
اعرف المزيد
Linear Regression and Modeling
This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother?
- مقدم بواسطة
- التعلم الذاتي
- 10 ساعات
- الإنجليزية
AED 274.99 + VAT
اعرف المزيد