Describing Data | Data Science
Subject and UNIT: Foundation of Data Science: Unit II: Describing Data
Data is collection of facts and figures which relay something specific, but which are not organized in any way.
Introduction | Foundation of Data Science
Subject and UNIT: Foundation of Data Science: Unit I: Introduction
Data science is an interdisciplinary field that seeks to extract knowledge or insights from various forms of data.
Data Science
Subject and UNIT: Foundation of Data Science: Unit I: Introduction
For data preprocessing to be successful, it is essential to have an overall picture of our data.
Characteristics, Multitier Architecture, Needs, Benefits, Metadata
Subject and UNIT: Foundation of Data Science: Unit I: Introduction
Data warehousing is the process of constructing and using a data warehouse.
Reasons for using, Functions, Mining Tasks, Architecture, classification
Subject and UNIT: Foundation of Data Science: Unit I: Introduction
Data mining refers to extracting or mining knowledge from large amounts of data.
Data Science
Subject and UNIT: Foundation of Data Science: Unit I: Introduction
The team delivers final reports, briefings, code and technical documents.
Model and Variable Selection, Model Execution, Diagnostics, Comparison | Data Science
Subject and UNIT: Foundation of Data Science: Unit I: Introduction
To build the model, data should be clean and understand the content properly.
Data Science
Subject and UNIT: Foundation of Data Science: Unit I: Introduction
Exploratory Data Analysis (EDA) is a general approach to exploring datasets by means of simple summary statistics and graphic visualizations in order to gain a deeper understanding of data.
Operations | Data Science
Subject and UNIT: Foundation of Data Science: Unit I: Introduction
Data preparation means data cleansing, Integrating and transforming data.
Data Science
Subject and UNIT: Foundation of Data Science: Unit I: Introduction
Retrieving required data is second phase of data science project. Sometimes Data scientists need to go into the field and design a data collection process.
Data Science
Subject and UNIT: Foundation of Data Science: Unit I: Introduction
The data science team must learn and investigate the problem, develop context and understanding and learn about the data sources needed and available for the project.
Subject and UNIT: Foundation of Data Science: Unit I: Introduction
Data science process consists of six stages