TOP 10 DATA SCIENCE COURSES IN LONDON, UK - PAGE 4

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 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

Artificial intelligence will define the brand new approach towards the businesses by the government or private organizations and life of individuals. A quick and softer definition of Artificial Intelligence would be, “augmenting human skills and intelligence” .

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.

You will figure out how to introduce and arrange programming essential for a factual programming condition and depict conventional programming language ideas as they are executed in an elevated level measurable language

This 1-day workshop is a one-stop shop to learning how you can transform your report, insights, or marketing messages into a visual product; easy to understand, and quick to share. 

Things that you'll learn on this two-day course include, how to load data from all manner of different sources, and how to build a data model and more.

R is a programming language and software environment that can be used for graphic representation, statistical analysis, and reporting.

From this Artificial Intelligence and Machine Learning course, you will experience the change, not in the HCI (Human-Computer Interaction), and how the machines are getting smarter by taking their own decision without any human intervention.

In this course, you will learn how to develop ML (Machine Learning) models to resolve business issues with the help of Google Cloud technologies which are widely used to design ML models.