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Welcome to the Coding Train with Daniel Shiffman! A community dedicated to learning creative coding with beginner-friendly tutorials and projects on YouTube and more.
- Subjects:
- Computing
- Keywords:
- Coding theory Computer programming
- Resource Type:
- Others
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Others
Causal Inference for The Brave and True
- Course related:
- MM501 Research Methods
- Subjects:
- Statistics and Research Methods
- Keywords:
- Social sciences -- Statistical methods
- Resource Type:
- Others
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Video
The video introduces the basic principle of ETF
- Course related:
- HTM3222 Financial Management in Hospitality, Tourism and Events
- Subjects:
- Finance
- Keywords:
- Exchange traded funds
- Resource Type:
- Video
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Others
Our MYOB accounting practice sets teach students the practical skills essential to accounting using the MYOB accounting software package. This requires students to complete a one-month accounting cycle for a fictional business with all posting, journalising and financial reporting completed using the actual MYOB accounting software.
- Course related:
- AF3211 Accounting Information System
- Subjects:
- Accounting
- Keywords:
- Accounting -- Computer programs MYOB (Computer program)
- Resource Type:
- Others
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MOOC
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.
- Course related:
- AAE5103 Artificial Intelligence in Aviation Industry
- Subjects:
- Computing
- Keywords:
- Machine learning Artificial intelligence
- Resource Type:
- MOOC
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Others
All resources and notes from the Complete Web Developer in 2022: Zero to Mastery course
- Course related:
- COMP3421 Web Application Design and Development, LGT3109 Introduction to Coding for Business with Python, COMP3211 Software Engineering, and COMP1001 Problem Solving Methodology in Information Technology
- Subjects:
- Computing
- Keywords:
- Web sites -- Design Web site development
- 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
- Keywords:
- Machine learning Artificial intelligence Big data
- Resource Type:
- Others
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Video
This course is an introduction to game theory and strategic thinking. Ideas such as dominance, backward induction, Nash equilibrium, evolutionary stability, commitment, credibility, asymmetric information, adverse selection, and signaling are discussed and applied to games played in class and to examples drawn from economics, politics, the movies, and elsewhere.
- Subjects:
- Mathematics and Statistics and Economics
- Keywords:
- Game theory
- Resource Type:
- Video
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Others
We provide advice and resources to enable you to develop and/or extend your statistical computing skills, helping you to independently use common statistical packages (R, Stata, SAS, SPSS) for the analysis of research data.
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Video
The free resources help you learn SAS quickly without a significant financial or time commitment. In Advanced Analytics module, you will explore the use of SAS in basic statistics, econometrics, forecasting, machine learning, optimization, and more.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Statistics -- Data processing SAS (Computer file)
- Resource Type:
- Video
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Video
Learn how to use R software for performing statistical tests.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Statistics -- Data processing Mathematical statistics -- Data processing R (Computer program language)
- Resource Type:
- Video
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Video
Find out how to interact with Stata 16 using the menu system and dialog boxes, the Command window, and the Do-file Editor. We also show you some valuable, time-saving tips for improving your workflow in Stata. Finally, you can see an overview of the major components of the software, such as data management, graphics, and how to get help.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Stata Statistics -- Data processing Mathematical statistics -- Data processing
- Resource Type:
- Video
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MOOC
This short course is adapted from a semester length graduate level coursetaught at MIT covering Qualitative Research Methods. This online course will focus specifically on teaching how to prepare for and conduct a conversational interview for data gathering purposes. We will also discuss the nature of qualitative research as a methodology, how it compares and differs from other forms of research, and how qualitative and quantitative research complement each other in a research project. This isthe first in a multi-part series which will be released over the coming year, which will focus on Conversational Interviewing, Data Analysis, and Constructing Theory. You might have encountered other forms of interview techniques in your studies and training. The form that we are teaching is the preferred method of Professor Silbey's, one that she has used extensively throughout her career. The goal is to construct an interview protocol such that you will be able to guide your interviewee through topics of interest to your study without bringing them up explicitly, in order to explore experiences and accounts without pointing respondents in particular directions. Not sure what an interview protocol is? No problem! You will by the end of the course.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Conversation analysis Qualitative research -- Methodology Social sciences -- Research -- Methodology Interviewing
- Resource Type:
- MOOC
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e-book
Teaching the strategic management course can be a challenge for many professors. In most business schools, strategic management is a “capstone” course that requires students to draw on insights from various functional courses they have completed (such as marketing, finance, and accounting) in order to understand how top executives make the strategic decisions that drive whether organizations succeed or fail. Although students have taken these functional courses, many students have very little experience with major organizational choices. It is this inexperience that can undermine many students' engagement in the course. Mastering Strategic Management is designed to enhance student engagement in three innovative ways. The first is through visual adaptations of the key content in the book. It is well documented that many of today's students are visual learners. To meet students' wants and needs (and thereby create a much better teaching experience for professors), Mastering Strategic Management contains multiple graphic concept pages in ever section of every chapter of the book. Think of graphic concept pages as almost like info-graphics for key concepts in each section. This feature sets Mastering Strategic Management apart from any strategic management book on the market today. The second way the authors capture student interest through their textbook is by using a real-world company as the running example in each chapter. For example, Chapter 1 in Mastering Strategic Management utilizes Apple to harness the conceptual coverage of the chapter in a running, corporate, application to which students will relate. The third inventive way Mastering Strategic Management holds the attention of strategic management students is through the “strategy at the movies” feature in each chapter that links course concepts with a popular motion picture. In Chapter 1, for example, the authors describe how “The Social Network” illustrates intended, emergent, and realized strategies. You can expect Mastering Strategic Management to cover all of the traditional topics that standard strategic management texts cover, but in an exciting way that will assist you in engaging your students in your course. See for yourself by checking out the book online today.
- Subjects:
- Management
- Keywords:
- Strategic planning Planning
- Resource Type:
- e-book
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Others
Our Salary Survey is based on the analysis of permanent, interim and contract placements made across each of our geographies and recruitment disciplines during 2018, and our predictions for the year ahead.
- Subjects:
- Management
- Keywords:
- China Southeast Asia Wages
- Resource Type:
- Others
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Others
BIS statistics, compiled in cooperation with central banks and other national authorities, are designed to inform analysis of financial stability, international monetary spillovers and global liquidity.
- Subjects:
- Finance
- Keywords:
- International finance -- Statistics Banks banking International -- Statistical methods
- Resource Type:
- Others
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Others
Download key macroeconomic and financial data in Hong Kong. The data shown in this page correspond to the data described on the International Monetary Fund's Dissemination Standards Bulletin Board (DSBB).
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Others
Download, graph, and track 672,000 US and international time series on economic data from 89 sources.
- Subjects:
- Economics and Finance
- Keywords:
- Economics -- Databases Economic history -- Statistics -- Databases
- Resource Type:
- Others
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MOOC
In this course, you will obtain some insights about marketing to help determine whether there is an opportunity that actually exists in the marketplace and whether it is valuable and actionable for your organization or client. Week 1: Assess methods available for creating quantitative surveys, along with their advantages and disadvantages. Identify the type of questions that should be asked and avoid unambiguous survey questions. Week 2: Design, test, and implement a survey by identifying the target audience and maximizing response rates. You will have an opportunity to use Qualtrics, a survey software tool, to launch your own survey. Week 3: Analyze statistical models that can be applied to your marketing data, so that you can make data-driven decisions about your marketing mix. Week 4: Predict most likely outcomes from the marketing decisions and match the type of analysis needed for your business problem. Take Quantitative Research as a standalone course or as part of the Market Research Specialization. You should have equivalent experience to completing the second course in this specialization, Qualitative Research, before taking this course. By completing the third class in the Specialization, you will gain the skills needed to succeed in the full program.
- Subjects:
- Marketing and Statistics and Research Methods
- Keywords:
- Quantitative research Marketing research
- Resource Type:
- MOOC
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MOOC
In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. We will focus on the ingredients required for this process: data collection and analysis. You won't learn how to use qualitative methods by just watching video's, so we put much stress on collecting data through observation and interviewing and on analysing and interpreting the collected data in other assignments. Obviously, the most important concepts in qualitative research will be discussed, just as we will discuss quality criteria, good practices, ethics, writing some methods of analysis, and mixing methods. We hope to take away some prejudice, and enthuse many students for qualitative research.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Qualitative research -- Methodology Social sciences -- Research -- Methodology
- Resource Type:
- MOOC