Data Nuts & Bolts: Fundamentals of Data
Data
| Beginner
- 10 Videos | 29m 53s
- Includes Assessment
- Earns a Badge
Dealing with large amounts of data is essential to any modern business and to become a data-driven organization, leaders and decision-makers must establish a deeply ingrained data culture. Use this course to understand the underlying principles of analyzing data and get familiar with terms related to data in order to properly deliver data-related projects. This course will help you identify the basic concepts and processes related to data analysis, modern data sources, and data pipelines. You'll also discover fundamental principles of data storage, migration, and integration, along with common methods for data visualization and reporting. Having completed the course, you'll be well versed in foundational concepts of data, related terminologies, and various data processing methods.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedistinguish between raw data, information, applicable knowledge, and general wisdomdescribe common sources of modern data and major data formats in usedefine concepts essential to data science like dataset, database, data analytics, data aggregation, and time seriesoutline disaster recovery plans and list common data backup strategies and tools
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describe how to perform data migration and explain the functionality of common tools like extract, transform, and load (ETL)identify best practices for data integration and its advantagesrecognize the importance of data visualization and reporting and tools commonly used for the samedefine the functionality behind common data processing languages such as SQL and list the main commands used in themsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 16sUP NEXT
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2.Data, Information, Knowledge, and Wisdom2m
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3.Sources of Data Generation and Data Formats6m 39s
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4.Data Terminologies3m 41s
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5.Data Storage and Backup2m 34s
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6.Data Migration and ETL3m 57s
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7.Advantages of Data Integration3m 27s
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8.Data Visualization and Reporting2m 25s
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9.Data Engineering Languages2m 54s
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10.Course Summary1m
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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