This two-day course provides students with the knowledge and skills to analyze data with Power BI.
DurationThis two-day course provides students with the knowledge and skills to analyze data with Power BI.
Prerequisites: Basic knowledge of the Microsoft Windows operating system and its core functionality; Familiarity with Microsoft Office applications – particularly Excel.
Who we are:
We are people people with a passion for teaching. Our unique lesson plans and real-world practice exercises make a genuine difference in how well and how quickly students learn.
What we do:
We develop and deliver training programs and services that improve learning outcomes and enhance student achievement. We prepare you for the real world.
Our goal:
Our goal is to ensure that our learning solutions meet customers’ needs precisely. We probably tweak and customize our courses more than any other training firm, especially for on-site workshops. When class ends, we continue to support our clients with Free and unlimited after-class support by phone or email.
In this 10-hour self directed course, you will learn about data visualization, why it is important and how it can be used to present complex data in a meaningful and easily digestible format.
This Microsoft certified course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.
Our Data Analytics Course is designed to give you the practical skills you need to succeed in today's data-driven world. You’ll learn how to visualize data with Tableau, analyze data with Python, and query data with SQL.
Power BI is revolutionizing the way organizations analyze data, make data-driven decisions, and communicate insights effectively. Whether you are a business analyst, data professional, or anyone interested in leveraging data for better decision-making.
In this course, you'll build a strong grasp of business intelligence (BI). Explore data collection, integration, analysis, and visualization techniques, and discover how to draw valuable insights from complex datasets.
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