Microsoft’s Power BI helps you to easily analyze, visualize, and collaborate on data from multiple sources. This course is ideal for anyone who works with data, creates reports and provides insights for data-driven decision making.
DurationMicrosoft’s Power BI helps you to easily analyze, visualize, and collaborate on data from multiple sources. This course is ideal for anyone who works with data, creates reports and provides insights for data-driven decision-making.
Connect to a variety of data sources, shape and transform data into meaningful information, and create rich, interactive reports to bring your data to life. Utilize skills you have developed in Excel to manage the transition to Power BI with ease and confidence. Discover the power of the tool to present data and impress your stakeholders.
Learning Outcomes
Our top ranked business programs* combine theory with practical application, emphasizing business fundamentals and critical thinking. Our professional development
Programs are designed to help individuals and organizations achieve hard-hitting business results through relevant, integrated and action-oriented learning.
The major topics include how to use SAS, SAS steps, SAS datasets, SAS statements, SAS functions, and how to combine datasets. The objective of this course is to train students to develop basic SAS programs independently
In this course, you'll use sophisticated data-visualization tools to understand data and share information with others. You'll also learn how to manage a Big Data science project from beginning to end, and that's exactly what they'll want you to be doing in your next job.
The major focus of the course is to develop and improve skillsets at the industry level to work in the data science and data engineering domains. Less theories, more exercise, and projects
Big Data for Data Scientists is a 6-week project-based course that teaches data scientists the necessary tools to work on large-scale data science problems. The entire course is built around an end-to-end real-time machine learning problem.
From data collection to data visualization, get all the technical and business skills to launch a thriving career as a Data Analyst.
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