Predictive analytics is a type of data analysis that uses statistical algorithms and machine learning techniques to identify patterns in data and make predictions about future events.
It involves analyzing current and historical data to make predictions about future events or outcomes, such as customer behavior, market trends, or risk assessment.
Predictive analytics relies on data mining, machine learning, and statistical analysis to make predictions.
Data visualization is the process of creating graphical representations of data in order to better understand, analyze, and communicate the insights and patterns that are present in the data.
It involves using visual elements, such as charts, graphs, and maps, to represent data in a way that is easy to understand and interpret.
Overall, data visualization is an important tool for data analysis and communication, and it is widely used in a variety of fields and applications, including business, science, and government.
- Descriptive analytics is a type of analytics that focuses on describing what has happened in the past.
- It involves summarizing and visualizing data to better understand patterns, trends, and relationships.
Microsoft Cognitive Services is a collection of APIs, SDKs, and services that enable developers to build intelligent applications that can see, hear, speak, understand, and interpret people’s needs using natural methods of communication.
Cognitive Services includes a range of APIs and services that can be used to build applications that can understand and interpret text and speech, recognize and classify images and video, and analyze and understand sentiment and emotions.
Cognitive Services is used in a wide range of applications, including image and speech recognition, natural language processing, customer service, and language translation.
Microsoft Analysis Services is a business intelligence (BI) platform that enables organizations to create and deploy online analytical processing (OLAP) and data mining models for use in BI and analytics applications.
It is a component of the Microsoft SQL Server database software, and it is designed to provide fast and efficient access to large volumes of data for analysis and reporting.
Analysis Services supports two main types of models: multidimensional models and tabular models.
There are many different types of analytics, including:
- Real-time analytics: This type of analytics involves analyzing data as it is being generated, rather than analyzing data that has already been collected
- It allows organizations to make informed decisions in real-time, based on the most current data available
Descriptive analytics is a type of analytics that focuses on describing what has happened in the past.
It involves summarizing and visualizing data to better understand patterns, trends, and relationships.
Descriptive analytics is typically used to answer questions like:
What has happened in the past?
Descriptive analytics is an important first step in the data analysis process, as it allows organizations to understand their data and identify areas that may require further investigation.