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This video is made by Dr. Pearl Lin and Dr. Clare Fung's project, "Great Case of Marketing in the Hospitality and Tourism Industry." A special thanks to Song Guilin, who provided information and insights for this video. This case discusses Douyin, a popular short video platform in China that has launched a 3-day, 2-night hotel room booking marketing project as part of its group buying feature. The marketing strategy involves accurately targeting customers, setting up promotional activities, and strengthening user interaction to boost hotel bookings and improve brand awareness. The outcomes of this project have shown significant improvements in sales performance, expansion of user groups, and enhanced brand recognition for the hotels involved. However, the case also highlights the challenges of intensified market competition and the need for hotels to build trust and improve their data analysis capabilities to optimize their marketing strategies.
本視頻由林博士和馮博士的專案「酒店和旅遊業行銷的傑出案例」製作。特別感謝宋桂林為本視頻提供信息和見解。本案例討論了中國流行的短視頻平臺抖音，作為其團購功能的一部分，推出了一個3天2晚的酒店房間預訂營銷專案。行銷策略包括準確定位客戶、設置促銷活動和加強用戶互動，以促進酒店預訂並提高品牌知名度。該專案的成果表明，相關酒店的銷售業績、用戶群體擴大和品牌知名度都有顯著提高。然而，該案例也凸顯了市場競爭加劇的挑戰，以及酒店建立信任和提高數據分析能力以優化行銷策略的必要性。
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Hotels -- Marketing Hospitality industry -- Marketing
- Resource Type:
- Others
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Others
In these comprehensive video courses, created by Santiago Basulto, you will learn the whole process of data analysis. You'll be reading data from multiple sources (CSV, SQL, Excel), process that data using NumPy and Pandas, and visualize it using Matplotlib and Seaborn, Additionally, we've included a thorough Jupyter Notebook course, and a quick Python reference to refresh your programming skills.
- Course related:
- AMA1600 Fundamentals of AI and Data Analytics and AMA1751 Linear Algebra
- Subjects:
- Computing, Data Science and Artificial Intelligence and Mathematics and Statistics
- Keywords:
- Computer programming Computer science Python (Computer program language)
- Resource Type:
- Others
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Others
Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access GPUs at no cost to you and a huge repository of community published data & code. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Big data Machine learning
- Resource Type:
- Others
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MOOC
With rapid globalization and proliferation of social media, businesses and organizations are in face of enormous communication challenges. How to communicate effectively on social media, how to manage social media data analysis as well as handling fake news are definitely at the top of the list.
By seeing challenge as opportunity, this course aims to unfold the communication challenges induced by the rise of social media in business corporations and most importantly, offer solutions to overcome these challenges. In addition, the course serves presents a vantage point to forge an interface of synergy between academics and practitioners to discuss and address global communication challenges. Participants can benefit from meaningful synergy between academics and practitioners as well as learning materials and meaningful multilateral discussions surrounding authentic communication cases and industrial practices engaging both instructors and participants. In sum, this course provides insights for business leaders, senior managerial members, and communication professionals by discussing the major communication challenges encountered by businesses around the world which in turn, helps the participants to advance their career in the ever-changing communication environment.
- Subjects:
- Communication
- Keywords:
- Social media Information technology -- Management
- Resource Type:
- MOOC
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Video
To study a system as complex as the entire universe, astrophysicists need to be experts at extracting simple solutions from large data sets. What else could they do with this expertise? In an interdisciplinary talk, TED Fellow and astrophysicist Federica Bianco explains how she uses astrophysical data analysis to solve urban and social problems -- as well as stellar mysteries.
- Subjects:
- Environmental Sciences and Statistics and Research Methods
- Keywords:
- Astrophysics -- Statistical methods Urban pollution Social problems
- Resource Type:
- Video
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e-book
"This resource covers the following learning objectives: explain the uses and misuses of statistics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Statistics Mathematical statistics
- Resource Type:
- e-book
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e-book
"A Brief Introduction to Engineering Computation with MATLAB is specifically designed for students with no programming experience. However, students are expected to be proficient in First Year Mathematics and Sciences and access to good reference books are highly recommended. Students are assumed to have a working knowledge of the Mac OS X or Microsoft Windows operating systems. The strategic goal of the course and book is to provide learners with an appreciation for the role computation plays in solving engineering problems. MATLAB specific skills that students are expected to be proficient at are: write scripts to solve engineering problems including interpolation, numerical integration and regression analysis, plot graphs to visualize, analyze and present numerical data, and publish reports."--BC Campus website.
- Subjects:
- Computing, Data Science and Artificial Intelligence and Mechanical Engineering
- Keywords:
- Systems engineering Textbooks
- Resource Type:
- e-book
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Video
In 44 episodes, Adriene Hill teaches you Statistics! This course is based on the 2018 AP Statistics curriculum and introduces everything from basic descriptive statistics to data collection to hot topics in data analysis like Big Data and neural networks. By the end of the course, you will be able to: *Identify questions that can be answered using statistics *Describe patterns, trends, associations, and relationships in data both numerically and graphically *Justify a conclusion using evidence from data, definitions, or statistical inference *Apply statistical models to make inferences and predictions from data sets *Understand how statistics are used broadly in the world and interpret their meaning, like in newspapers or scientific studies Learning playlist
- Subjects:
- Mathematics and Statistics
- Keywords:
- Statistics
- Resource Type:
- Video
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e-book
Offered as an introduction to the field of data structures and algorithms, Open Data Structures covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs. Focusing on a mathematically rigorous approach that is fast, practical, and efficient, Morin clearly and briskly presents instruction along with source code. Analyzed and implemented in Java, the data structures presented in the book include stacks, queues, deques, and lists implemented as arrays and linked-lists; space-efficient implementations of lists; skip lists; hash tables and hash codes; binary search trees including treaps, scapegoat trees, and red-black trees; integer searching structures including binary tries, x-fast tries, and y-fast tries; heaps, including implicit binary heaps and randomized meldable heaps; graphs, including adjacency matrix and adjacency list representations; and B-trees. A modern treatment of an essential computer science topic, Open Data Structures is a measured balance between classical topics and state-of-the art structures that will serve the needs of all undergraduate students or self-directed learners.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Textbooks Data structures (Computer science) Computer algorithms
- Resource Type:
- e-book
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e-book
This grammar provides the first comprehensive grammatical description of Yakkha, a Sino-Tibetan language of the Kiranti branch. Yakkha is spoken by about 14,000 speakers in eastern Nepal, in the Sankhuwa Sabha and Dhankuta districts. The grammar is based on original fieldwork in the Yakkha community. Its primary source of data is a corpus of 13,000 clauses from narratives and naturally-occurring social interaction which the author recorded and transcribed between 2009 and 2012. Corpus analyses were complemented by targeted elicitation. The grammar is written in a functional-typological framework. It focusses on morphosyntactic and semantic issues, as these present highly complex and comparatively under-researched fields in Kiranti languages. The sequence of the chapters follows the well-established order of phonological, morphological, syntactic and discourse-structural descriptions. These are supplemented by a historical and sociolinguistic introduction as well as an analysis of the complex kinship terminology. Topics such as verbal person marking, argument structure, transitivity, complex predication, grammatical relations, clause linkage, nominalization, and the topography-based orientation system have received in-depth treatment. Wherever possible, the structures found were explained in a historical-comparative perspective in order to shed more light on how their particular properties have emerged.
- Subjects:
- Foreign Language Learning
- Keywords:
- Language languages -- Grammars Yakha language Kiranti languages Textbooks
- Resource Type:
- e-book