The training Energy Data Mining, Patterns and Trends is designed to address the growing need for professionals with experience in the analysis of data from the energy sector, a field that is constantly development y claim. With the rise of technologies such as Big Data and the importance of the energy efficiency, to develop skills in the data management and analysis becomes an invaluable opportunity. This training will provide you with the tools needed to understand the best work experience in the data management, the import y edition on platforms such as Excel y SQL, and the key differences between Big Data y Data Science. You’ll learn how to identify patterns and trends which have the potential to transform decision-making in the sector.
Sector-specific
Big Data and Business Intelligence Development
40 mins
Energy Data Mining, Patterns and Trends
Big Data and Business Intelligence Development
40 mins
Introduction
Objectives
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Understanding the best practice in data management to ensure the quality of energy analysis.
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Importing and managing data in Excel to facilitate the analysis and visualisation of energy data.
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Distinguish between Big Data y Data Science to apply appropriate concepts in the analysis of energy data.
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Use Big Data tools to optimise the processing and analysis of large volumes of data.
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Carry out transactions relating to edition in SQL to keep the information in energy databases up to date.
Table of Contents
VIDEO LESSON 1. BEST PRACTICES IN DATA MANAGEMENT
VIDEO LESSON 2. IMPORTING DATA INTO EXCEL
VIDEO LESSON 3. THE BASICS OF ENERGY EFFICIENCY
VIDEO LESSON 4. BIG DATA VS DATA SCIENCE
VIDEO LESSON 5. THE 7 V’S OF BIG DATA
VIDEO LESSON 6. BIG DATA TOOLS
VIDEO LESSON 7. CREATING AN SQL DATABASE IN PHPMYADMIN
VIDEO LESSON 8. EDITING DATA IN SQL: INSERT, DELETE AND UPDATE
VIDEO LESSON 9. CREATING, MODIFYING AND DELETING DATABASES AND TABLES IN SQL
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