Essential Big Data & Data Science

This foundational course module provides a high-level overview of essential Big Data topic areas. A basic understanding of Big Data from business and technology perspectives is provided, along with an overview of common benefits, challenges, and adoption issues. The module content is divided into a series of modular sections, each of which is accompanied by one or more hands-on exercises.

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Understanding Big Data

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Fundamental Big Data Terminology and Concepts

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Big Data Business Drivers and Technology Drivers

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Traditional Enterprise Technologies Related to Big Data

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OLTP, OLAP, ETL and Data Warehouses in relation to Big Data

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Characteristics of Data in Big Data Environments

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Dataset Types in Big Data Environments

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Structured, Unstructured and Semi-Structured Data

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Metadata and Data Veracity

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Fundamental Analysis and Analytics

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Quantitative and Qualitative Analysis

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FMachine Learning Types

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Descriptive and Diagnostic Analytics

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Predictive and Prescriptive Analytics

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Business Intelligence and Big Data

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Data Visualization and Big Data

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Big Data Adoption and Planning Considerations

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This course module explores a range of the most relevant topics that pertain to contemporary analysis practices, technologies and tools for Big Data environments. The module content intentionally keeps coverage at a conceptual level, focusing on topics that enable participants to develop a comprehensive understanding of the common analysis functions and features offered by Big Data solutions, as well as a high-level understanding of the back-end components that enable these functions.

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Big Data Analysis Lifecycle (from Business Case Evaluation to Data Analysis and Visualization)

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A/B Testing and Correlation

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Regression and Heat Maps

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Time Series Analysis

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Network Analysis and Spatial Data Analysis

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Classification and Clustering

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Filtering, including Collaborative Filtering and Content-based Filtering

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Sentiment Analysis and Text Analytics

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Clusters and Processing Batch and Transactional Workloads

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How Cloud Computing relates to Big Data

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Foundational Big Data Technology Mechanisms

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Big Data Storage Devices and Processing Engines

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Resource Managers, Data Transfer Engines and Query Engines

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Analytics Engines, Workflow Engines and Coordinate Engines