How to access the built-in, ready-to-use financial and socioeconomic data, including current and historical stock prices and currency exchange rates in the Wolfram Language.
Summary
The Wolfram Language has built-in, ready-to-use financial and socioeconomic data, including current and historical stock prices and currency exchange rates. This video shows you how to use natural language as well as built-in Wolfram Language functions to query this data and compute with it. It also demonstrates the use of automated machine learning models and customized visualization for the development and enhancement of a business intelligence workflow. Several real-world examples are used to explain how the Wolfram Language can be used for business analytics and research.
Featured Products & Technologies: Wolfram Knowledgebase, Wolfram Language, Wolfram Notebooks
You'll Learn To
Work with the Wolfram Knowledgebase and access built-in curated data
Explore both current and historical financial data
Use natural language for programming in a notebook
Leverage built-in functions and algorithms to improve business intelligence
Create simple data visualizations for exploratory analysis
Make projections with the help of time series forecasting models
Build automated machine learning models to analyze financial data
Clean datasets by detecting and removing anomalies
Summary
The Wolfram Language has built-in, ready-to-use financial and socioeconomic data, including current and historical stock prices and currency exchange rates. This video shows you how to use natural language as well as built-in Wolfram Language functions to query this data and compute with it. It also demonstrates the use of automated machine learning models and customized visualization for the development and enhancement of a business intelligence workflow. Several real-world examples are used to explain how the Wolfram Language can be used for business analytics and research.
Featured Products & Technologies: Wolfram Knowledgebase, Wolfram Language, Wolfram Notebooks
You'll Learn To
Work with the Wolfram Knowledgebase and access built-in curated data
Explore both current and historical financial data
Use natural language for programming in a notebook
Leverage built-in functions and algorithms to improve business intelligence
Create simple data visualizations for exploratory analysis
Make projections with the help of time series forecasting models
Build automated machine learning models to analyze financial data
Clean datasets by detecting and removing anomalies
