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Home » Ebooks & Tutorials » Technical » Development Training » Core Data Workloads and Data Analytics Concepts | CBT Nuggets

Core Data Workloads and Data Analytics Concepts | CBT Nuggets

27/08/2022 Tut4DL Leave a Comment


Core Data Workloads and Data Analytics Concepts | CBT Nuggets
English | Size: 1.43 GB
Genre: eLearning

This entry-level Data Analytics training prepares learners to do many of the essential tasks of assembling data workloads and performing data analytics.

This Core Data Workloads and Data Analytics training is a perfect way to get introduced to not only the broad concepts around assembling data workloads, but to see exactly how to process and analyze your data.

Many of the concepts in this training like batch data, streaming data, relational data, chart types and analytics techniques are universal. This training covers those essentials. It’s a perfect way to get the fundamentals of data analysis.

After finishing this Data Analytics training, you’ll know how to do many of the essential tasks of assembling data workloads and performing data analytics.

For anyone with data analysts on their team, this training can be used to onboard new data analysts, curated into individual or team training plans, or as a reference resource.

Data Analytics: What You Need to Know
This Core Data Workloads and Data Analytics training has videos that cover topics including:

Describing batch data, streaming data, and the differences between them
Understanding the characteristics of relational data
Balancing different approaches to data visualization
Recognizing the relative strengths and merits to different chart types and analytic techniques

Who Should Take Data Analytics Training?
This Data Analytics training is considered foundational-level training, which means it was designed for data analysts. This data analytics skills course is valuable for new IT professionals with at least a year of experience with data analysis concepts and experienced data analysts looking to validate their data analytics skills.

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Development Training Data Analytics, Data Workloads

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