Observe: Meta’s marketing sources only publish audience gender data for “female” and “male” users.

Need a lot more social websites numbers? Our System guides allow you to seem sensible of all the latest stats for the whole world’s greatest social networking platforms.

Permit’s get a more in-depth examine what the latest numbers convey to us, starting with a few precious context referring to the population of Hong Kong.

To find out more about these modifications, remember to see this post, as well as our extensive notes on data.

This class covers statistical principles and instruments associated with modelling data that happen to be correlated in House. Programs can be found in many fields together with epidemiology and community well being, environmental sciences and ecology, economics and others.   Included subject areas involve:  (1) 

: covariance functions and also the variogram; spatial tendencies and directional outcomes; intrinsic styles; estimation by curve fitting or by  most chance; spatial prediction by minimum squares, by basic and standard kriging, by trans-Gaussian  kriging.  (3) 

On a quarterly foundation, the organization’s data also reveal that the size of Instagram’s advert audience in Hong Kong remained unchanged between Oct 2023 and January 2024.

On this class, we begin by studying The essential architecture of a blockchain. Then we go forward to a number of main purposes together with (although not limited to) cryptocurrencies, fintech and smart contracts. We conclude by inspecting the cybersecurity problems going through the blockchain ecosystems.

This study course handles the Superior principle of point estimation, interval estimation and hypothesis screening. Utilizing a mathematically-oriented tactic, the course supplies a proper treatment of inferential difficulties, statistical methodologies and their underlying concept. It truly is suited especially for college kids intending to further their scientific studies or to produce a website profession in statistical investigate. Contents include: (one) Selection challenge – frequentist tactic: loss function; danger; decision rule; admissibility; minimaxity; unbiasedness; Bayes’ rule; (2) Final decision trouble – Bayesian tactic: prior and posterior distributions, Bayesian inference; (three) Estimation concept: exponential households; chance; sufficiency; negligible sufficiency; completeness; UMVU estimators; information and facts inequality; significant-sample idea of utmost probability estimation; (4) Speculation testing: uniformly most powerful (UMP) examination; monotone chance ratio; UMP unbiased test; conditional exam; substantial-sample idea of probability ratio; self-assurance set; (5) Nonparametric inference; bootstrap strategies.

Because of this, we advise caution when comparing the social websites user values posted in this year’s reports with those published in prior many years, In particular mainly because improvements in described values will be the result of “corrections” inside the source data, as well as changes in precise user conduct.

This system aims to introduce different statistical products and methodology used in advertising and marketing analysis. Unique emphasis are going to be put on marketing analytics and statistical techniques for marketing and advertising choice earning like industry segmentation, sector response types, consumer desire Examination, conjoint Assessment and extracting insights from text data.

Graduates of your programme would master new competencies in new technologies like AI (artificial intelligence), blockchain, large data analysis, fiscal fraud analytics, etcetera. Know-how and capabilities attained from finishing this programme will area our graduates in an excellent placement to progress their career.

#You should submit your supporting files through right here. Take note that you'll acquire an e-mail Using the login instructions within just 48 hrs following your application is submitted.

“The MDASC programme is the two academically tough and commercially pertinent enabling me to enhance my competencies, knowledge and information in different areas of data science.