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Video
Hidden truths permeate our world; they're inaccessible to our senses, but math allows us to go beyond our intuition to uncover their mysteries. In this survey of mathematical breakthroughs, Fields Medal winner Cédric Villani speaks to the thrill of discovery and details the sometimes perplexing life of a mathematician. "Beautiful mathematical explanations are not only for our pleasure," he says. "They change our vision of the world."
- Subjects:
- Mathematics and Statistics
- Keywords:
- Mathematics
- Resource Type:
- Video
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Video
Mohamad Jebara loves mathematics -- but he's concerned that too many students grow up thinking that this beautiful, rewarding subject is difficult and boring. His company is experimenting with a bold idea: paying students for completing weekly math homework. He explores the ethics of this model and how it's helping students -- and why learning math is crucial in the era of fake news.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Mathematics -- Study teaching
- Resource Type:
- Video
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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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Others
This sequence is ideal for students or early data science professionals who want to strengthen their knowledge of fundamental probability and statistics concepts. Mastery of Mathematical Fundamentals is a prerequisite.
- Course related:
- AMA1110 Basic Mathematics I – Calculus and Probability & Statistics
- Subjects:
- Finance and Mathematics and Statistics
- Keywords:
- Probabilities Mathematical statistics Business mathematics
- Resource Type:
- Others
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MOOC
Why do we study statistics? The field of statistics provides professionals and scientists withconceptual foundations and useful techniques for evaluating ideas, testing theories, and - ultimately -uncovering the truth in any situation. This course will familiarize you with data and basic statistical concepts, enabling you to analyze data using graphs and statistics. We'll start with types of data, controlled experiments,and observational study. You'll learn touse ahistogram, a representation of the distribution of numerical data, to easily arrange data. You will learn about basic concepts of statistics, such as average and standard deviation. Methods of using the normal approximation to solve a problem will be covered in this course. Inaddition, we'll discussthe correlation coefficient and the regression method in order to represent the relationship between two variables.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Statistics
- Resource Type:
- MOOC
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Courseware
Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you the tools needed to understand data, science, philosophy, engineering, economics, and finance. You will learn not only how to solve challenging technical problems, but also how you can apply those solutions in everyday life.With examples ranging from medical testing to sports prediction, you will gain a strong foundation for the study of statistical inference, stochastic processes, randomized algorithms, and other subjects where probability is needed.
- Course related:
- AMA1501 Introduction to Statistics in Business
- Subjects:
- Mathematics and Statistics
- Keywords:
- Probabilities
- Resource Type:
- Courseware
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Video
Statistics, Machine Learning and Data Science can sometimes seem like very scary topics, but since each technique is really just a combination of small and simple steps, they are actually quite simple. My goal with StatQuest is to break down the major methodologies into easy to understand pieces. That said, I don't dumb down the material. Instead, I build up your understanding so that you are smarter.
- Course related:
- HTI34016 Introduction to Clinical Research
- Subjects:
- Computing and Mathematics and Statistics
- Keywords:
- Statistics Mathematical analysis Data mining Machine learning
- Resource Type:
- Video
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MOOC
Data science has critical applications across most industries, and is one of the most in-demand careers in computer science. Data scientists are the detectives of the big data era, responsible for unearthing valuable data insights through analysis of massive datasets. And just like a detective is responsible for finding clues, interpreting them, and ultimately arguing their case in court, the field of data science encompasses the entire data life cycle. That starts with capturing lots of raw data using data collection techniques, and then building and maintaining data pipelines and data warehouses that efficiently “clean” the data and make it accessible for analysis at scale. This data infrastructure allows data scientists to efficiently process datasets using data mining and data modeling skills, as well as analyze these outputs with sophisticated techniques like predictive analysis and qualitative analysis. Finally, these findings must be presented using data visualization and data reporting skills to help business decision makers. Depending on the size of the company, data scientists may be responsible for this entire data life cycle, or they might specialize in a particular portion of the life cycle as part of a larger data science team
- Subjects:
- Computing
- Keywords:
- Machine learning Data mining Big data
- Resource Type:
- MOOC
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Others
Wolfram*Alpha brings expert-level knowledge and capabilities to the broadest possible range of people—spanning all professions and education levels. We work to accept completely free-form input, and to serve as a knowledge engine that generates powerful results and presents them with maximum clarity. Energetically developed for more than a decade, Wolfram*Alpha is an ambitious, long-term intellectual endeavor that we intend will deliver ever-increasing capabilities over the years to come. With a world-class team and participation from top outside experts in countless fields, we are constantly working to create what we hope will stand as a major milestone of 21st-century intellectual achievement. In this website, it covers the topics of calculus and analysis, differential equations, statistics, chemistry, engineering, computational sciences, earth sciences, language, finances
- Course related:
- AMA2308 Mathematics for Engineers, AMA1130 Calculus for Engineers, and AMA1110 Basic Mathematics I - Calculus and Statistical Probability
- Keywords:
- Lesson planning Statistics Web search engines
- Resource Type:
- Others
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Others
A collection of interactive medical and surgical clinical case scenarios to put your diagnostic and management skills to the test. Each clinical case scenario allows you to work through history taking, investigations, diagnosis and management.
- Course related:
- HTI48101 Computed Tomography
- Subjects:
- Health Sciences and Medical Imaging
- Keywords:
- Medical personnel -- Study teaching Medical education
- Resource Type:
- Others
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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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Video
Are you ready to learn hints, tips, and tricks to IBM SPSS Statistics that are not in typical SPSS training videos? Building on years of practical experience as a statistician doing academic research, Dr. Todd Daniel takes you deeper into SPSS skill building. Even if you are an experienced SPSS user, you will learn new ideas that will help you as a user. For beginning and intermediate students, you will leap ahead by learning techniques that benefit practical users. You will learn to customize SPSS, import data while cleaning it, best practices for categorical and scale data, the power of the Chart Builder, using syntax, and how to organize your output so you can use it better. This series began with SPSS for Beginners; now you can begin Diving Deeper into SPSS.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Statistics -- Data processing Statistics SPSS (Computer file)
- Resource Type:
- Video
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Video
This series assumes that you are brand new to SPSS. You will create a data set that you will use for all the following videos. When you finish all 8 videos, you will be comfortable in SPSS and ready to apply your skills in your statistics course.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Statistics Statistics -- Data processing SPSS (Computer file)
- Resource Type:
- Video
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Video
Starting your research in Google may not be ideal as it often ends up leading you to millions of websites and you have no clue which ones are dependable and reliable. Let’s watch this video and learn the short-cut of locating quality social sciences information.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Information resources Keyword searching Social sciences -- Research Database searching Web search engines Internet searching
- Resource Type:
- Video
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Video
How to use Bloomberg to gather key macroeconomic indicators
- Subjects:
- Economics
- Keywords:
- Economics Economic indicators Social sciences -- Statistics
- Resource Type:
- Video
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Courseware
Second introductory course covering basic principles of probability and statistical inference. Topics: Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Probabilities Mathematical statistics
- Resource Type:
- Courseware