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Visualize Data Trends with SQL Server and Power BI

Master integration, correlation identification, and anomaly detection for informed decision-making.

Beginner
29m
(6)

Created by Bismark Adomako

Last Updated Mar 07, 2024

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  • Course

Visualize Data Trends with SQL Server and Power BI

Master integration, correlation identification, and anomaly detection for informed decision-making.

Beginner
29m
(6)

Created by Bismark Adomako

Last Updated Mar 07, 2024

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What you'll learn

In today's data-centric era, extracting meaningful insights from SQL Server data is pivotal for informed decision-making. The demand for professionals proficient in data analysis and visualization using SQL Server and Power BI is at its peak. In this course, Visualize Data Trends with SQL Server and Power BI, you’ll gain the ability to unlock the potential of your data for strategic decision-making. First, you’ll explore the art of integrating SQL Server with Power BI, establishing seamless connections, and transforming data for comprehensive analysis. Next, you’ll discover the techniques of visualizing temporal trends and identifying correlations within SQL Server data using the powerful visualization tools in Power BI. Finally, you’ll learn to create dynamic and interactive dashboards in Power BI, extracting actionable insights and designing reports that aid in business decisions. When you’re finished with this course, you’ll have the skills and knowledge of data analysis and visualization needed to turn raw data into a strategic asset, making you an invaluable asset in the data-driven world.

Visualize Data Trends with SQL Server and Power BI
Beginner
29m
(6)
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About the author
Bismark Adomako - Pluralsight course - Visualize Data Trends with SQL Server and Power BI
Bismark Adomako
17 courses 3.7 author rating 132 ratings

Bismark is a BI & Big Data Engineer obsessed with applying his knowledge in computer engineering and mathematics in the fields of Data Science, Artificial Intelligence, Machine Learning, Big Data, and Human Computer Interaction to find disease cures, provision of better healthcare and technology, autonomous systems, education and productivity through research into novel methods and algorithms for computation.

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