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Descriptive and Exploratory Statistics

Descriptive and Exploratory Statistics
Video Lesson | FREE

The Wolfram Language provides numerous functions for describing and visualizing properties of data. This class shows how charts, plots and a variety of graphics can be used for understanding the nature of a dataset, the population from which it was sampled and the relationship between variables in the data or underlying population.

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Exploring Web Data with Wolfram Language

Exploring Web Data with Wolfram Language
Archived Special Event | FREE

In this recorded, two-part livecoding series, Arnoud Buzing demonstrates using the Reddit API to import data from a webpage in the JSON format and analyzing it with Wolfram Language. Dataset operations are used for deciphering the structure of the imported data. Image processing and textual analysis capabilities of the language are demonstrated, and the built-in ImageIdentify function is used to recognize imported images.

Course Overview
  • Video 130 minutes
  • Video 2110 minutes
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Geo Computation

Geo Computation
Video Lesson | FREE

There are several features and functions in Wolfram Language that allow you to perform computations on maps and geographic objects. This video lesson will explore some of the functions used in geo computation. You will learn about using vector maps with coordinate points, tiles, projections and different types of boundaries and labels as well as other components of map objects. Examples will also demonstrate the geometry behind vector maps and geo primitives.

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Graphs and Networks: Concepts and Applications

Graphs and Networks: Concepts and Applications
Video Lesson | FREE

Graph theory and network analysis are used to model and analyze connections between entities in the real world—the World Wide Web, social networks and airline routes, just to name a few. The Wolfram Language provides a unified computational perspective from across multiple disciplines in the application of graphs and networks. This video class covers the fundamental properties of graphs and explores workflows available for network modeling and analysis.

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Hypothesis Testing

Hypothesis Testing
Video Lesson | FREE

The Wolfram Language includes a framework for hypothesis testing. This class explores parametric and nonparametric tests of location, variance or scale, as well as distributional goodness of fit. This class assumes basic familiarity with the Wolfram Language and statistics concepts.

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Integrating the Wolfram Data Framework

Integrating the Wolfram Data Framework
Video Lesson | FREE

Learn how to improve and extend your external data sources with the built-in data framework in the Wolfram Language. An overview of the framework's decade-long development history is provided, from the original Wolfram Language data functions to the launch of Wolfram|Alpha and the availability of the Wolfram Data Repository. Explore the extensive set of built-in entities, create lists from imported raw data, build datasets, visualize data and learn how to integrate the computational power of the Wolfram Language into your projects.

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Model Fitting and Analysis

Model Fitting and Analysis
Video Lesson | FREE

This class explores the built-in Wolfram Language framework for linear and nonlinear regression, logit, probit and generalized linear models, as well as optimization functions, linear algebra functions and a package for analysis of variance (ANOVA). The class assumes basic familiarity with the Wolfram Language and statistics concepts.

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Modeling Market Prices Using Stochastic Processes

Modeling Market Prices Using Stochastic Processes
Video Lesson | FREE

This video talks about the modeling of stock prices, portfolios, index returns, bonds, option prices, exchange rates and conditional risk using stochastic processes such as the ARCH process, vector-valued time series, the ARMA model, Chen's model, the Ito process and Merton jump diffusion. In doing so, it shows that the Wolfram Language contains a complete collection of stochastic processes and statistical distributions that can be fitted to a wide array of market phenomena.

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Modeling with Statistical Distributions

Modeling with Statistical Distributions
Video Lesson | FREE

The Wolfram Language has the largest collection of parametric and nonparametric distributions, supporting high-level functions for probability and statistics. This class demonstrates application of these functions for modeling and analysis in statistics. Presentation topics also include automated probability and statistics superfunctions, streamlined processes for parameter estimation and goodness-of-fit testing, working with built-in distributions or creating your own from data or other distributions, and statistical visualization functionality.

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Notebook-based Workflows for Data Explorations
(Study Group Sessions)

Notebook-based Workflows for Data Explorations
(Study Group Sessions)
Archived Special Event | FREE

Discover the different workflows included with Wolfram's extensive documentation system. Learn about the detailed, step-by-step recipes for the computational tasks needed to build more complex technical projects. These videos start with a brief introduction to Wolfram Notebooks and then quickly move to more practical tasks like importing data, creating visualizations and doing basic analysis. You will be instructed in utilizing the user-friendly notebook environment and the elegance of the Wolfram Language to quickly create interactive interfaces to aid your data explorations and visualizations.

Course Overview
  • Video 152 minutes
  • Video 251 minutes
  • Video 358 minutes
  • Video 457 minutes
  • Video 587 minutes
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Playing Around with Government Data in Wolfram Language

Playing Around with Government Data in Wolfram Language
Archived Special Event | FREE

In this recorded, three-part livecoding series, Christopher Wolfram shows how Wolfram Language can be used to analyze systematically curated data. Semantic interpretation combined with the ability to work with numerical as well as textual data provides a robust framework for data analysis. Dataset functionalities, along with visualization functions built into the language, help to explore various attributes of the data and to draw relevant conclusions. Example datasets are investigated; in particular, geo-computation capabilities of Wolfram Language are showcased to view the geographic distribution of a specific parameter.

Course Overview
  • Video 1123 minutes
  • Video 212 minutes
  • Video 3112 minutes
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Playing Around with Language Data in Wolfram Language

Playing Around with Language Data in Wolfram Language
Archived Special Event | FREE

In this recorded, two-part livecoding series, Christopher Wolfram explores the linguistic data built into Wolfram Language, including multilingual dictionaries and information on word meaning, structure, usage and the relationship between words. Examples of word translation and transliteration in various languages are shown. The LanguageData symbol is used along with visualization and graphing functionality to gain linguistic insights.

Course Overview
  • Video 125 minutes
  • Video 274 minutes
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Quantile and Box-Whisker Plots

Quantile and Box-Whisker Plots
Video Lesson | FREE

This class provides an overview of some of the statistical visualization functionality built into the Wolfram Language. Topics include visual inspection of the shape of data and comparisons to distributions and datasets. Quantile plots, box-and-whisker plots, probability plots and distribution charts are covered. The class is for those who have basic familiarity with the Wolfram Language and general statistical knowledge.

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Statistical Analysis with Wolfram Language

Statistical Analysis with Wolfram Language
Video Course | FREE

Analyze your data using a framework of model fitting and statistical analysis built into the Wolfram Language. Whether it is basic descriptive and exploratory statistics or advanced modeling with statistical distributions, you can follow this video course to gain an understanding of the statistical functionality available in the Wolfram Language. Topics covered include descriptive measures, transformations, basic clustering, statistical distributions, parameter estimation and hypothesis testing. Advanced topics on using optimization functions, linear algebra functions, analysis of variance (ANOVA) and generalized logit and probit linear models will also be explored.

Course Overview
  • Video 111 minutes
  • Video 224 minutes
  • Video 314 minutes
  • Video 417 minutes
  • Video 534 minutes
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Statistical Distributions

Statistical Distributions
Video Lesson | FREE

The Wolfram Language includes extensive coverage for statistical distributions. This class explores the properties of derived distributions, probability distributions, mixture distributions and more. Other topics include random number generation and parameter estimation. This class assumes basic familiarity with the Wolfram Language and statistics concepts.

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The Multiparadigm Data Science Workflow

The Multiparadigm Data Science Workflow
Instructor Led | SEE COURSE SCHEDULE

Requirements: This course requires basic working knowledge of the Wolfram Language.

Certification Levels: Completion

Build your data science process around insightful questions rather than limited traditional methods. This course teaches how to work with data in various formats, turn raw data into clean, computable datasets and perform preliminary explorations.

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Using DatabaseLink with Wolfram Language

Using DatabaseLink with Wolfram Language
Video Course | FREE

Discover how to integrate your SQL database operations with the Wolfram Language using the built-in DatabaseLink toolkit. This three-part video series demonstrates how to query the database using either built-in Wolfram Language functions or SQL-style commands. You'll learn to create procedures and functions, work with result sets and use batch operations.

Course Overview
  • Video 116 minutes
  • Video 220 minutes
  • Video 314 minutes
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Wavelet Analysis

Wavelet Analysis
Video Course | FREE

Understand your data better with wavelet analysis. These videos offer an in-depth introduction to wavelets, starting from basic concepts and continuing into advanced methods and uses. You'll learn the essentials of wavelet decomposition of signals—including different types of wavelet transforms, common algorithms, visualizations and interpretation of results—with a focus on general applications in signal processing and time series analysis. Examples are presented from financial analysis, edge detection, denoising of images, data compression and more.

Course Overview
  • Video 149 minutes
  • Video 252 minutes
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Wavelet Applications

Wavelet Applications
Video Lesson | FREE

This video class presents examples from a variety of applications, including financial time series, edge detection and denoising of images, thresholding, image and data compression and image fusion. Familiarity with Fourier transforms and data smoothing methods is recommended for this class.

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Wavelet Concepts

Wavelet Concepts
Video Lesson | FREE

Wavelets decompose a signal into approximations and details at different scales, making them useful for applications such as data compression, detecting features and removing noise from signals. This class explains some of the theory behind continuous, discrete and stationary wavelet transforms and demonstrates how the Wolfram Language and its built-in functions can be used to construct, compute, visualize and analyze wavelet transforms and related functions. Familiarity with Fourier transforms and data smoothing methods is recommended for this class.

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What's Cooking: Creating a Data Science Pipeline for Recipe Classification

What's Cooking: Creating a Data Science Pipeline for Recipe Classification
Video Lesson | FREE

Learn the fundamental steps you need to complete a data science project. This video shows you how to use Wolfram Notebooks to build a modular project pipeline. With the use of a basic example, you will learn to import your data, clean it, analyze it and communicate your results using visualizations, reports and a cloud-deployed web app.

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Wolfram Data Drop Quick Start

Wolfram Data Drop Quick Start
Video Lesson | FREE

Learn how to get started with the Wolfram Data Drop, a universal data accumulator for devices, sensors, programs, humans and more. With Data Drop you can collect and organize data from anywhere, store it in the cloud and compute with it seamlessly. This video class provides instruction on how you can collaborate computationally with people as well as various connected devices, sensors and services.

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