EXCEPTIONAL TRAINING COURSES FOR IT PROFESSIONALS
LONDON UK | ONSITE | ONLINE
Our Data Analytics training course is aimed at looking to model cloud and other corporate data using Power BI Dashboard visualizations and who further want to customise and tweak their data using R and Azure Machine Learning.
We will look at the modern tools, visualizations, and mobile reporting capabilities that SQL Server 2016 provides on any device
Connecting to Data
Visualisations and Custom Visualisations
Native Applications (iOS/Android/Windows)
Sharing & Collaboration
Embedding dashboards in applications
Power BI Desktop
Queries & the Query Editor
Shaping & Cleansing Data
Loading Transformed Data
Tables & Columns
Managing Schema & Data Changes
Connections & Tables
Rules & Limitations
Data Analysis Expressions
Take your first steps with R. Discover the basic data types in R and assign your first variable.
Analyze gambling behaviour using vectors. Create, name and select elements from vectors.
Learn how to work with matrices in R. Do basic computations with them and demonstrate your knowledge by analyzing the Star Wars box office figures.
R stores categorical data in factors. Learn how to create, subset and compare categorical data.
When working R, you’ll probably deal with Data Frames all the time. Therefore, you need to know how to create one, select the most interesting parts of it, and order them.
Lists allow you to store components of different types. Section 6 will show you how to deal with lists.
Discover R’s packages to do graphics and create your own data visualizations.
Machine Learning essentials
The Main Points
Asking the Right Question
Illustrating the Machine Learning Process
Example Machine Learning Scenarios
The Main Points
Categorizing Machine Learning Problems
Styles of Machine Learning Algorithms
Training and Testing a Model
Using a Model
Scheduling packages with SQL Server Agent
Reporting Services Configuration Manager
Bring a JBI course to your office
and train a whole team onsite
0800 028 6400 or request quote
Get in touch
0800 028 6400
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