TOP 10 BIG DATA ANALYTICS COURSES IN LINCOLN, UK - PAGE 3

This course is aimed at anyone who will be involved with designing, creating and publishing a Power BI Business Intelligence solution and will provide you with the foundation Power BI training that you need get started on your journey to powerful power BI reports and business Insights.

Microsoft Power BI course is offered by Eident. Eident deliver scheduled and on-demand IT skills training courses.

Making sense out of data and presenting it without making it look overwhelming is difficult. Learn with us, the three most sought after visualization tools that will help you find both clarity, and insights!

This course is designed for anyone working with a large amount of data who is wishing to analyse it and create eye catching visualisations. Participants will get hands-on experience learning key skills and concepts using example data based on real world scenarios.

DAX (Data Analysis Expressions) is the language of such analytical tools as PowerBI, Power Pivot and SQL server. Having a thorough understanding of DAX will allow you to develop visualisations and present data in any way you want.

An full encompassing course of Microsoft Power BI that will cover the power of data visualization and will provide infrastructures for visualization, dashboard and reports using Microsoft BI toolkits.

The training is delivered with plenty of illustrated examples and augmented with practical hands-on exercises to enhance the learning experience.

The Microsoft Power BI Introduction course aims to provide relevant and substantive training to anyone working in or coming in contact with Microsoft Office during the normal course of their occupation

An Introduction to Microsoft Power BI. This course takes a look at the core concepts of Power BI and introduces course attendees to report and dashboard creation in Power BI.

The analysis of large datasets involves using an equally large set of computers. Successfully using so many computers entails the use of distributed files systems, such as the Hadoop Distributed File System (HDFS) and parallel computational models, such as Hadoop, MapReduce and Spark.