Items related to Data Analytics Modeling Certificate
- PublisherWiley
- Publication date2020
- ISBN 10 1119696658
- ISBN 13 9781119696650
- BindingPaperback
- LanguageEnglish
- Edition number1
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Data Analytics Modeling Certificate (Paperback)
Published by
John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119696658
ISBN 13: 9781119696650
New
Paperback
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. The Data Analytics Modeling Certificate (14.0 CPE Credits) will expand your ability to work with structured and unstructured data to drive a successful analytics practice.To start, you will learn to define clear business outcomes for your analytics practice to ensure your efforts align with your organization's strategic direction and create value. Next, you will learn data profiling and data cleansing techniques to maintain data quality throughout the data life cycle. You'll practice ETL (extract, transform, load) techniques and work with different data models and analytics tools. Finally, you will learn how to institute sophisticated tools for managing an ongoing enterprise data practice, including tools for data warehousing, managing the data life cycle, and working with structured and unstructured data.This certificate is Part 3 of the Data Analyst Certificates Bundle a comprehensive five-part program that provides training and practical guidance on the topic of data analytics.Note: It is recommended that you complete the Application of Data Analysis Essentials Certificate, or ensure you have equivalent knowledge and skills, before starting this certificate course.Learning Labs*This is an interactive learning program that includes bonus hands-on learning labs that will expose you to the tools needed to implement an analytics practice in a practical way and equip you to deploy those tools as needed within your organization. You will practice using various technologies for preparing, analyzing and managing datasets in the real world.*Time spent on learning labs does not award CPE and completing learning labs is not a requirement for earning the certificate. WHO WILL BENEFITAccounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations make informed, data-driven business decisions. KEY TOPICSDefining value and tying analytics to value-driven business casesUnderstanding the characteristics of data and how they can be leveraged to gather insights from informationIdentifying project constructs for data analyticsIdentifying different types of data with which analysts will be expected to interactProfiling data for accurate analysis initiativesUnderstanding tool capabilities for working with dataCleansing data with appropriate tools to increases analytics accuracyManaging data quality and integrityExtracting, transforming, and loading dataImplementing a data warehouseManaging the data life cycleCreating and using different types of data modelsTools for working with both structured and unstructured data LEARNING OBJECTIVESIdentify opportunities, processes, and necessary data for solving analytical problems.Apply data profiling and data cleansing techniques to available data.Use data preparation and enrichment tools.Use ETL (extract, transform, load) tools.Compare data warehousing techniques.Use data warehousing and data management tools.Align the outcomes of your data analytics practice with your organization's strategic direction and create value. Digital Badge: Your Professional DistinctionSet yourself apart as a future-ready financial professional. Upon completion, you will be awarded with a certificate in the form of a digital badge. Digital badges allow you to distinguish yourself in the marketplace and show your commitment to quality. The badge can be posted to your social media profiles and linked to your resume or email signature, providing maximum visibility to your achievement. Credit InfoCPE CREDITS: Online: 14.0 (CPE credit info)NASBA FIELD OF STUDY: Information TechnologyLEVEL: IntermediatePREREQUISITES: Recommended: Complete the Application of Data Analysis Essentials Certificate or ensure you have equivalent knowledge and skills.ADVANCE PREPARATION: NoneDELIVERY METHOD: QAS Self-StudyCOURSE ACRONYM: DALP-S3Online Access I Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781119696650
Quantity: 1 available
Seller Image
Data Analytics Modeling Certificate (Paperback)
Published by
John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119696658
ISBN 13: 9781119696650
New
Paperback
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. The Data Analytics Modeling Certificate (14.0 CPE Credits) will expand your ability to work with structured and unstructured data to drive a successful analytics practice.To start, you will learn to define clear business outcomes for your analytics practice to ensure your efforts align with your organization's strategic direction and create value. Next, you will learn data profiling and data cleansing techniques to maintain data quality throughout the data life cycle. You'll practice ETL (extract, transform, load) techniques and work with different data models and analytics tools. Finally, you will learn how to institute sophisticated tools for managing an ongoing enterprise data practice, including tools for data warehousing, managing the data life cycle, and working with structured and unstructured data.This certificate is Part 3 of the Data Analyst Certificates Bundle a comprehensive five-part program that provides training and practical guidance on the topic of data analytics.Note: It is recommended that you complete the Application of Data Analysis Essentials Certificate, or ensure you have equivalent knowledge and skills, before starting this certificate course.Learning Labs*This is an interactive learning program that includes bonus hands-on learning labs that will expose you to the tools needed to implement an analytics practice in a practical way and equip you to deploy those tools as needed within your organization. You will practice using various technologies for preparing, analyzing and managing datasets in the real world.*Time spent on learning labs does not award CPE and completing learning labs is not a requirement for earning the certificate. WHO WILL BENEFITAccounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations make informed, data-driven business decisions. KEY TOPICSDefining value and tying analytics to value-driven business casesUnderstanding the characteristics of data and how they can be leveraged to gather insights from informationIdentifying project constructs for data analyticsIdentifying different types of data with which analysts will be expected to interactProfiling data for accurate analysis initiativesUnderstanding tool capabilities for working with dataCleansing data with appropriate tools to increases analytics accuracyManaging data quality and integrityExtracting, transforming, and loading dataImplementing a data warehouseManaging the data life cycleCreating and using different types of data modelsTools for working with both structured and unstructured data LEARNING OBJECTIVESIdentify opportunities, processes, and necessary data for solving analytical problems.Apply data profiling and data cleansing techniques to available data.Use data preparation and enrichment tools.Use ETL (extract, transform, load) tools.Compare data warehousing techniques.Use data warehousing and data management tools.Align the outcomes of your data analytics practice with your organization's strategic direction and create value. Digital Badge: Your Professional DistinctionSet yourself apart as a future-ready financial professional. Upon completion, you will be awarded with a certificate in the form of a digital badge. Digital badges allow you to distinguish yourself in the marketplace and show your commitment to quality. The badge can be posted to your social media profiles and linked to your resume or email signature, providing maximum visibility to your achievement. Credit InfoCPE CREDITS: Online: 14.0 (CPE credit info)NASBA FIELD OF STUDY: Information TechnologyLEVEL: IntermediatePREREQUISITES: Recommended: Complete the Application of Data Analysis Essentials Certificate or ensure you have equivalent knowledge and skills.ADVANCE PREPARATION: NoneDELIVERY METHOD: QAS Self-StudyCOURSE ACRONYM: DALP-S3On Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781119696650
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Data Analytics Modeling Certificate
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Data Analytics Modeling Certificate
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Condition: New. 2020. Paperback. . . . . . Seller Inventory # V9781119696650
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Data Analytics Modeling Certificate
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Data Analytics Modeling Certificate
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Condition: New. 2020. Paperback. . . . . . Books ship from the US and Ireland. Seller Inventory # V9781119696650
Quantity: 15 available
Seller Image
Data Analytics Modeling Certificate (Paperback)
Published by
John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119696658
ISBN 13: 9781119696650
New
Paperback
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 3 out of 5 stars
Paperback. Condition: new. Paperback. The Data Analytics Modeling Certificate (14.0 CPE Credits) will expand your ability to work with structured and unstructured data to drive a successful analytics practice.To start, you will learn to define clear business outcomes for your analytics practice to ensure your efforts align with your organization's strategic direction and create value. Next, you will learn data profiling and data cleansing techniques to maintain data quality throughout the data life cycle. You'll practice ETL (extract, transform, load) techniques and work with different data models and analytics tools. Finally, you will learn how to institute sophisticated tools for managing an ongoing enterprise data practice, including tools for data warehousing, managing the data life cycle, and working with structured and unstructured data.This certificate is Part 3 of the Data Analyst Certificates Bundle a comprehensive five-part program that provides training and practical guidance on the topic of data analytics.Note: It is recommended that you complete the Application of Data Analysis Essentials Certificate, or ensure you have equivalent knowledge and skills, before starting this certificate course.Learning Labs*This is an interactive learning program that includes bonus hands-on learning labs that will expose you to the tools needed to implement an analytics practice in a practical way and equip you to deploy those tools as needed within your organization. You will practice using various technologies for preparing, analyzing and managing datasets in the real world.*Time spent on learning labs does not award CPE and completing learning labs is not a requirement for earning the certificate. WHO WILL BENEFITAccounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations make informed, data-driven business decisions. KEY TOPICSDefining value and tying analytics to value-driven business casesUnderstanding the characteristics of data and how they can be leveraged to gather insights from informationIdentifying project constructs for data analyticsIdentifying different types of data with which analysts will be expected to interactProfiling data for accurate analysis initiativesUnderstanding tool capabilities for working with dataCleansing data with appropriate tools to increases analytics accuracyManaging data quality and integrityExtracting, transforming, and loading dataImplementing a data warehouseManaging the data life cycleCreating and using different types of data modelsTools for working with both structured and unstructured data LEARNING OBJECTIVESIdentify opportunities, processes, and necessary data for solving analytical problems.Apply data profiling and data cleansing techniques to available data.Use data preparation and enrichment tools.Use ETL (extract, transform, load) tools.Compare data warehousing techniques.Use data warehousing and data management tools.Align the outcomes of your data analytics practice with your organization's strategic direction and create value. Digital Badge: Your Professional DistinctionSet yourself apart as a future-ready financial professional. Upon completion, you will be awarded with a certificate in the form of a digital badge. Digital badges allow you to distinguish yourself in the marketplace and show your commitment to quality. The badge can be posted to your social media profiles and linked to your resume or email signature, providing maximum visibility to your achievement. Credit InfoCPE CREDITS: Online: 14.0 (CPE credit info)NASBA FIELD OF STUDY: Information TechnologyLEVEL: IntermediatePREREQUISITES: Recommended: Complete the Application of Data Analysis Essentials Certificate or ensure you have equivalent knowledge and skills.ADVANCE PREPARATION: NoneDELIVERY METHOD: QAS Self-StudyCOURSE ACRONYM: DALP-S3On Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781119696650
Quantity: 1 available